ClickAI Radio

It's Your Business, Your Livelihood...Certify Your Business Decisions!

Hello Everybody, welcome to another episode of ClickAI Radio.

All right, so we have been hearing a lot about certifying elections recently. But what about certifying your business decisions? Now certainly our businesses are the things that provide for our families and deliver service and value to our customers. But what does it mean to certify business decisions?

Well, let's step back. What does it mean to certify something right? Generally, as you know, it means Hey, we're gonna compare something to a framework, right? We're gonna look for alignment or compliance with that framework.

So I used to ski a lot, years ago. And at one point I took a bunch of tests was while I was in college and became certified as a ski instructor, at a local ski resort. There you go, certifications, simple enough.

So what if there is a framework for certifying your business decisions? What does that mean? It means that, we would have a way in which we could look at the impacts of the decisions, and then understand a framework that comes out of that. So AI provides a way to help us see the patterns right in your leads and in your sales pipelines.

Now, ultimately, you end up defining your patterns with each business decision you make. So in my businesses, every decision I make leaves a footprint, right? It's a breadcrumb trail that indicates and shows what the business decisions that I've made. Now, in a recent article, this is from smart data collective, they stated that AI is intended to mimic the behavior of humans, I don't totally agree with that, right? One of the uses of AI is to expose and highlight human behavior.

Now, if you think about it, AI has got the ability to shine a light on those areas in your leads and your cells behavior that are often not seen by our own perception and analysis. Now, some of our own human behaviors are counterproductive. And so in those cases, we don't want AI to mimic our behavior. But what we do want is we want to be able to see AI's use, expose those counterproductive behaviors.

So really, what we're after is we want AI to help us influence behavioral change. And so as a business owner, that starts to become crucial input to us. If we can use AI, to expose both the good as well as the not so good patterns of behavior, then we can certify our own business decisions, right?

That becomes the framework that we use to line off. So what if I told you that I could help you make steady improvements to your business? What impact would it have on your life, to be able to improve your leads to improve your sales? Would it be different for you if you suddenly had a transformative business that was more proficient and delivering value to your customers? So what would be the impact to your personal life if you align your business decisions with a framework that was produced by you by AI looking at your patterns of behavior? So some have stated that we are in the early days of AI his influence on consumer behavior? Yeah, I think that's true.

Here's some evidence of companies though, that are quote unquote, certifying their business decisions using AI. And you know them all right, one of those is McDonald's. Hey, are you going to order some fries? So McDonald's uses AI to help examine and look at the probabilities based on the ordering patterns? If you're going to be ordering fries, what that does is that actually drives inventory and supply chain. Another is Domino's Pizza, right. In that case, they identify the person in the home, who does the most ordering and therefore then on the fly figures out Oh, let's customize with this coupon. Are these special offers or Stitch Fix? Hey, they use AI to streamline logistics and operations, again, hey, which is the right right warehouse to use and so forth, again, driving inventory and supply chain.

So one group that I worked with, had been growing their business quickly. But they were missing some key insights. Right? They were asking: How do I certify my business decisions, right? What are those good and those bad decisions that I've been making in the way that I approach my particular market? So they're asking questions like, What does good look like from my business? How should I measure my performance and the behaviors of my business?

So as we applied AI to the situation, we found a new framework for certifying good behavior and bad behavior in the way they approach the market and their customers. Then business discovered when and where the good new sales opportunities had the highest probabilities, and of course, the bad opportunities with the lowest probabilities. So now as new opportunities come in, they can quote unquote, certify those opportunities, according to what they learned from the AI.

Okay, everybody, thank you for joining. Until next time, certify your business decisions with AI.

Thank you for joining Grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your FREE eBook visit ClickAIRadio.com now.

What if the problems facing your business could be solved with ONE INSIGHT?
What would you do to gain the Insight You Needed to move your business forward?
If the INSIGHT YOU GAINED required you to make changes to your business...would you do it?

Hey, welcome everybody to another episode of ClickAI Radio. My name is Grant Larsen. Alright, so today we are talking about insights one insight away. So there's many of you know, Russell Brunson, he uses this phrase a lot called one funnel away. I'm sure a lot of us have heard that. And what I like about that idea is that it keeps us moving forward, right? It's this notion that, alright, I've got a problem I'm trying to solve. And what I'm really looking for is just that next funnel, right, that next opportunity, and that could be the tipping point that helps me solve some problem and grow the business.

Well, it's similar in terms of AI. So with AI, it's one insight away, how many insights will it take for us to actually solve a problem for our business? So to do that, I started looking at the notion of insights. And where when did insights come about? And how did people start even talking about insights? I found one place right here is kind of an interesting, there's a book actually on Amazon. It's called inside out kind of kind of clicky. Inside Out, get ideas out of your head and into the world. And the author is Tina Seelig. She's a unit at Stanford University professor, and she discusses how to take her ingenious course I think I'm saying the name right. And to make imaginative ideas, reality.

Interesting, right. Okay. And here's another one. This one's actually called inside out. The words are combined, it's a website insightoutshow.com. And, and it's actually a pretty interesting set of podcasts. They're they're dedicated to bringing insights or exposing insights that have changed people's lives. And so it's got some best selling entrepreneurs and authors and thought leaders that are on there. So that was kind of interesting.

I also looked into some examples of people that that found insights, and then they applied them. Here's one that was particularly interesting. This was on medium.com. It says guy that when was this anyway, this was about a year ago or so. This guy, he pulled an 18 ton truck at some state titles. And he's trying to this is an a sportsman or strongman competition, right? And he's pretty, pretty small guy. And he's pulling a truck that's 200 times heavier than him. And he ended up placing fourth, and he beat a ton of people that were much larger and much stronger. And, and he goes on to describe I love what he says here. He says, how's it even possible? How is it possible that a guy that's 10 to 50 kilograms heavier than me?

They couldn't get the truck as far as I did. And he points out, it all came down to a single insight. Being in one of the lightest weight divisions, I didn't have the luxury of watching a whole bunch of people go before me to figure out the best way to do it. I had only two chances. So for the competitors went before me, I got up right beside them in front of them at an angle, I got an every position I could watch how they did it any any point for advantage others might miss. And then he says I found it. This is a cool part. Okay, he he finds the insight. And of course, if we get meta here for a moment, he really introspect it right? He watched others, he saw what was going on, he looked at what information was available to him.

Hint, Hint, nudge, nudge, and then he goes on, he says, I found it.

And he's got some video on this. Anyway, he says, you'll notice in the video, not long after I start pulling, there's a point where I stop at the pedestrian crossing, and really leaning hard. No one else did that. They tried to pull slow and steady the whole time. They did that because that's the way you usually do. Trump poll. Then he goes on to say, but they did it because they didn't see what I saw. So here's the insight. He said just after the start, there was a small divot in the road in perceptible unless you saw it from the side, and we're really paying attention. So he ended up what happened is the people that were just going sort of slow and steady, the truck would get into that divot. And they couldn't pull through, they didn't have the momentum.

He However, when he came up to that point, let the truck come into the divot, and knew to let it sort of roll back a little, then he leaned in super hard, and pulled it out of that divot and ended up taking for what a What a cool insight, right, he studied the situation, look at the information that was available to him. So back in 1936, in the one of the co founders of the London School of Economics, published a book called The Art of thought, I think his name is Graham Wallace, and called the art of thought. And he outlined four stages in the creative process.

Okay, so it was Wallace's stages of control where when you're going to get insight, there's some preparation, then there's some incubation illumination, and then verification, right? So so in this guy's example, where he's got the truck, right, and he's doing some preparation, right, he's watching the people. So that's the preparation is seeing how they get through it. And then he incubates and ultimately enough to the point where he can discover this debit. And then the illumination comes about, and he's able to leverage it. So what if we did that with our business? Right? What if we took the four steps preparation, incubation illumination and verification? What if I said, with artificial intelligence, that's how we get insights for our business. So the preparation stage is obviously doing transactions in my business. And there's a point where I need to prepare and curate that information. And then I need to think about what problems Am I trying to solve, like, in the case of this truck guy, right? That's pulling it. His problem, of course, was how do I beat everyone else, when he didn't really know at the time, is that his real problem was not, how do I beat everyone? It was, how do I get through that divot. And so in the course of incubation, he sees this and then some illumination comes on how he can actually use the debit to his advantage, and then pull on through to it.

So we use artificial intelligence to do the same thing. We go through our preparation, we incubate we think about what problem we are trying to solve. And in the course of doing it, we actually get some illumination on Wait a minute, maybe the problem I'm solving isn't the one I originally thought there. There's another problem here. And that's illuminating me into in terms of what I need to go solve. So that led me to this interesting point here, I looked something up. And it was, what's the difference between insight and intuition? And it turns out that one of the definitions that I saw was that, hey, intuition is the use of patterns that you've already learned. Whereas insight is the discovery of new patterns. And so in the case of this guy pull in this truck, right? So he's got some intuition on things that he can do, to perhaps use his body and align it properly to pull the truck through, but what he really needed. And what he ultimately discovered was an insight, a new pattern, which was, how do I actually deal with the real problem at hand, which is this divot that's got me stuck. Alright. So insight, that turns out is being able to see something right clearly that what's times we didn't know even existed beforehand.

And that often includes having an understanding of the cause and the effect relationships, meaning if I, if I do something, then something else will happen. Sometimes we call it an epiphany or an aha moment, you know, I've applied AI to multiple organizations, there's typically this epiphany, or this insight moment, right, which is, oh, gotcha. Now that I look at what the AI is telling me about my sales transactions. I didn't realize that, you know, when it's Tuesday in Belgium that I shouldn't be selling or whatever it is, right? So these insights come and then you start to realize, wait, I've got to go solve some of these specific problems. I thought it was solving a bigger problem. But before I can, metaphorically move my truck further down. I've got to get through the divot and AI brings those insights. So the real question is, how can I reduce the time to getting insights? So if the value is let me get insights, I'd that I'd actually like to get some velocity with that. Could I get insights more quickly, right. Could I get through that? iteration cycle faster. And of course, there are multiple ways to do that. But here's one example. This was, this was an example from Google. And they were they were working on reducing time to insight with AI. This is an interesting article from them. They were using some of their video imaging computer vision AI, right, which is actually takes takes a lot of horsepower from from the computational perspective, but in any event, in their article, they they ended up using AI to analyze videos, and they were doing it with Dunkin Donuts.

And, you know, because you know, can you have too many donuts? I don't know. So they're using it with Dunkin Donuts. And they were building a Youtube video to promote I think it's called their Donut Fries. I didn't even know such a thing existed. But apparently, if you marry a donut with a potato, you get fries, Donut Fries. So in any event, they were they were doing this donut fries thing. And by by running AI against their videos, they were able to make adjustments to the video. And they got more than 6000 comments on it, which ultimately built the right sentiment score for them to get the right promotion level.

Gosh, what does that mean? The net effect is they ended up getting insight tank time down to 28 minutes right now that's that's kind of amazing, right? I mean, that that's not typical. But the point is, you'd want to be able to take your business, get your business information, and then run it through a cycle and get that turnaround time as quickly as possible. Because the sooner we can discover the divots in the road, that are the real problems we need to solve for our business. Actually, then the better it is for us, we can move our truck move our business forward. Okay, everyone, the key to reduce time to insight is to use AI in your business. Hey, everyone, thank you for joining and until next time, go get some insights.

Thank you for joining Grant on click AI radio. Don't forget to subscribe and leave feedback. And remember to download your FREE eBook visit ClickAIRadio.com now.

Getting the right amount of AI in your business is critical. If you pursue predictions that are too far reaching it can over burden your business, ultimately losing customers.

But, if you don't use AI now, you are late, and are already behind your competitors. This isn't a game of leap frog, this is pivoting your business towards high-probability targets with greater insights, at an increased rate.

Okay, Hey, everybody, welcome. This is Grant, welcome to another episode of ClickAI radio. All right, so bite size, right size AI for your business. What does that mean? Well, when you think about the continued pool right on time and resources for the small to medium business owners, it's no good to get AI predictions that are way beyond our reach, right? I mean, if the size of the effort and the work to accomplish that prediction is too big or too much, that doesn't do us any good. All it does is frustrate us. So we need to course be able to grow our business one step at a time. And in fact, we often will call that a smart Step Smart in the sense that it's a progression towards a goal or a target smart also and that it's the right size.

So here are a few pieces to think about when we're going to do a smart step. We go through, of course, the all the activities of running our business. But there's a point then where we start working on the data, and figuring out, hey, if I wanted to go solve a particular problem, right, if I had a particular target that I wanted to go after we start thinking about that target. But what we do is then we ask ourselves, do I have the business information? In order to accomplish that? Some people might say, hey, I'd like to be able to know are my buyers male or female? Well, that starts to become a bit of a challenge, right? Because lots of times that gets into personal information, right? Things that you can't really share PII right stuff that you can't pass along. But there's other things we can go after. So for example, we might want to know, what are the periods of time or the factors that contribute to our refunds that are increasing? Maybe hypothetically, right? Or we might want to know, hey, what particular conditions are contributing to us selling a product more effectively in one region or another?

So what you do is you think about what target Can I go after, and, and the AI comes back with things like, hey, if you do these things, you'll increase your sales promotion activities, on Thursdays and Fridays, then you, you know, probabilities are, whatever 90% 85% that you'll see an increase in sales. Or if you increase the price of a particular product that you're selling, then your refunds actually will reduce, because what it does is it will narrow the field of those people that are buying and of course, you'll get more highly qualified buyers. Alright, so there are other kinds of things that we go after, when we take a smart step, we might say, well, they I could come back and say, well, in order to reduce your refunds, quit selling through this particular affiliate, if in fact, you're using affiliates, or whatever it might be, the goal is to get the right amount of AI applied, and get that put into the business long enough, and in a short enough time, but then to execute long enough so that you can see the effects of them without overburdening your organization. If you took on too much and actually destroyed your business because you took on too much. The AI then actually turns out to be counter for the business. All right, let's look at a report here. I was evaluating something from Forbes, the, you know, the forbes.com. They have this data section on what are the things that are being you know, where AI is being used today, there are four or five areas I'm going to call out here. One of the areas that they focused on is in this area of marketing, which is what I just started talking about marketing and sales. Those are the first two areas. And in fact, they made a statement. The statement was if your company isn't using artificial intelligence and marketing, you're already behind. And that has really been the shift just in the last 18 months, right. Not only can AI help develop your marketing strategies, but it's also fundamental and instrumental in executing those as well. So I was talking about the smart step, a minute to go.

So if you think there's the activities or running your business, there's identifying a target, there's applying AI to your business information, and then reinventing at that point, right. So this is a series of reinventions on the business, you can reinvent just a small piece a small step at a time. And the reinvention might be, hey, we will stop or reduce our selling activities in a particular region, right, because the AI gave some insights on them. And so you do that for a period of time and you monitor the effects of that that's a critical activity, we find that a lot of organizations will go do the initial act, you know, step right, try to move forward, of course, but won't do the level of monitoring and keep the AI engaged. And that's actually a mistake. All right. Another area that Forbes pointed out here is sales, of course. And obviously sales has got a human element to that. But predicting customer needs improving communications, for you know, sales, forecasting, ai does a great job with those things. So I'd say if you're not applying AI to marketing and sales, you're you're already behind and your competition isn't just going to get ahead, meaning the ones that are using AI won't just get ahead, it will actually be a leapfrog. We call it a digital leapfrog. They will leap ahead so far and so quickly, that it will take longer for you to catch up than historically, it has been for you to compete with, with other organizations. All right, that's the good and the bad of it. Let's see AI being used in r&d, of course, right. I mean, we obviously see that taking place today. It helps some research problems and developing solutions. Of course it you know, never been thought of what about human resources? Yes, in fact, PepsiCo uses a robot called robot Vera to phone and interview candidates for open sales positions. In fact, I found something interesting about this, this is something that we've been applying as well. It's the notion of using AI as part of your lead searching, and your hiring activities. So there's this capability from IBM Watson, where you can tap into it, and then it will help you do that kind of searching on on LinkedIn actually. So we make that service available through the the things that we provide. So if you're interested reach out to it's kind of a cool, cool thing, really, because you think, Hey, I can't, you know, constantly as a small to medium business person I can't constantly be chasing down on, Hey, where's my next leads? Right? Where's my next highly qualified set of people? Turns out that with this, with this service, then that we use on it with with this IBM Watson, not only can we establish it to do this searching on LinkedIn, so that it's working, while you're not right, it's looking intelligently for the right kind of fit while you're off doing other things. But it also comes back and says, Hey, not only here's the set of really highly qualified people, but it also turns out that you can take that set, and then you can extract a Facebook, CSV, Facebook formatted CSV file, that then you can load in and create an audience directly off that and then campaign directly to people that fit that profile. Kind of cool, right? Yeah. So when you think about, hey, I need the right size of AI. First, let me go after a target. That's not going to break the the business in the organization. But second, let me also intelligently use AI to find the right kind of people to target. Now that we are right sizing our organization using AI. So first, picking the right AI inspired target. And then second, getting the right AI inspired set of leads to go after that that's

a huge hit for your organization to be able to do that.

Of course, ai course can is applied in accounting and finance the things that you would expect their customer service, you

know, in the customer service area, I'm kind of

on the fence on it, because a lot of times companies will use AI and chatbots. And lots of times I'm like, Hey, I just want to get to a human, you know, but it's slowly getting better on this. And in fact, we use an AI system for our voiceovers. In fact, with the videos that we produce, in all the media that we create, we use AI voices and most people can actually tell that they are AI generated voices. In fact, I just produced one the other day, check it out. I put it on to clickai.com/free-AI-audit one more time, clickai.com/free-AI-audit. Man, I should have made it easier URL. Hopefully got that. All right. If not back up, you may have to listen to that a couple times. What I what I demonstrated there, and I was making this video is for is for the other purposes, man, if I could say that it's for other purposes. But what I did with it was I introduced I call him Jim. Right? And, and I'm interacting with Jim, and it's this AI. Voiceover Oh, you know, there's another place that I use that as well. If you go to click ai.com, just click ai.com I put a video I was practicing building explainer videos. And I was like, man, do I really want to go spend the money for you know, some human voice over this thing? I mean, you know, it's just gonna be hundreds of thousands of dollars anyway, to do that. And it's like, there's got to be a better way. And so I've been using this for a while, it's actually really cool. And you know, we actually will use that in your behalf. So if you are interested, let us know, we can save you a ton of money, doing stuff like that. Okay, so when you're building your marketing, or training materials, using AI generated voices, they're actually getting pretty good for that kind of thing.

It's not as useful for chatbot stuff, right, that's a different kind of air is AI. But, but for the voiceovers, it's actually a pretty decent way to save you a ton of money as a small to medium business owner. So So okay, here's four bite sized places to use AI today as a small to medium business owner. Once the voiceovers that I'm talking about, and go to those site locations you can you ultimately can reach out to me using those sites, if you go to the free dash AI dash audit site, you can actually get get connected and get on my calendar, we can chat, the lead searching and the hiring through that, that that's really cool AI that's backed up by IBM Watson. Again, reach out to me on that clickai.com/free-ai-audit, be happy to tell you how you can get access to that. And then there's another which is transcriptions. Right. And so, in the area of transcription, even this very podcast, I use AI to transcribe it right for a long time as using things like rev, you know, rev.com, they charge like, you know, a buck 25 a minute and after a while you're like, man, I just want to podcasts, I don't want to like, you know, break the bank, you know, to be getting the message out, man, I use some awesome AI services there, I actually can make those available to you, and save you a ton of bank, getting your stuff transcribed. So okay, so there's four areas, and then there's a fifth. So the so the four areas was voiceovers, lead searching, hiring, and then transcriptions, right all using AI in each of these areas at super low cost with really highly effective outcomes. The other is, is one that I started with, I was calling it a smart step. And that's in the marketing and sales area of your business, right? That's where you're taking some of your business information, your transactions, things like that. You're thinking about, hey, what's my target that I'm going after? And then then you're using AI to figure out alright, predictive with these high predictions. If you reduce this activity or increase this activity, you will have this sort of impact on your sales. Okay, so those are bite size and that's what we have to go after, as a small to medium business owners. All right, everyone, I hope that was helpful. Thanks for joining and until next time, only take bite sized AI.

Thank you for joining Grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your FREE eBook, visit clickairadio.com now.

With AI in Your Chips, Your Pics, and Your Clicks the Opportunities to Optimize Your Business Has Grown Dramatically.
All right, so today it's AI in your chips, your picks in your clicks, how that's going to save your business?
If you could use AI earlier in your business processes, would you do that to benefit your business?

So recently I was looking at an interview that was between the CEO of Micron Technology and Adobe, the CEO of Adobe. And they were talking about how both of those companies were using AI. Now micron develops computer chips. Alright, so the things that make your your phones and your computers and other things run. So in fact, I think they're the only the only computer chip manufacturer in the United States actually, most are in Asia. All right, so they were talking about the use of AI and the micron team, who I actually have some friends over there, but the micron team is using AI that they talked about to detect anomalies and flaws in computer chip design, right? So I'm not talking about Pringles or Doritos or anything like that.

What they do is they take pictures of these chips while you while they're being manufactured. And then they've trained Their AI to recognize flaws. Right? And of course, the earlier that the flaws are caught in the process than the less money it takes to correct those right to fix those. So I was thinking about that. And as long, you know, could I use a similar approach in my business information.

So if I'm running a small to medium business, then the parallel would be if I analyze my business information sooner rather than later, then it has the potential of saving me tons of money, right allows me to stop doing the things that I shouldn't be doing, as well as to then emphasize those things that I should be doing. So I think there's money to me to be made with this pattern in chips, right? Meaning the pattern of applying it to your business information sooner rather than later.

All right, let's talk about pics. Now. In this micron example, they're using pictures and images of pictures of course to analyze food For these defects, but what about pictures themselves? So we all have these cell phones, right? And and of course, as you probably know, there's more and more AI enabled apps for your camera on your phones, androids got a ton of them. And, and Apples got some as well.

In fact, there's this report on Dignited.com that talks about some of the more recent AI camera apps that are out there. One of the things that's interesting about these is that once you point your camera in the right direction, the AI app takes over and automatically tweaks the settings behind the scenes for you. So, you know, even if you're not a camera nerd, it gets the right aperture, aperture settings, right? It puts in the, you know, takes into consideration the light and where it is, and does the adjustments for you. So, it also does a couple other things right? It will try to determine what the type of the scene is that it's looking at.

So adjusting light, it'll do dynamic exposure, color adjustments, even slapping in some cool effects as well. It's kind of interesting. So when one of the things that I learned recently, I was talking to some successful business owners, and some entrepreneurs, and they shared that one of the key things that they did to grow their business was they documented their journey. And they did it using pictures. In fact, they say document your ascent. So the idea is that they take pictures along the way while they're building their business and they're growing their business and they're taking pictures of the good, the bad and the ugly, right? Things that are going well, things that are not going well Also, it turns out that those pictures later became real valuable assets to the organization. Right gave them a chance to look back. Understand The things that worked well, things that didn't wrap the stories around those. And ultimately, those stories with those pictures identified patterns that later other companies, other business owners, entrepreneurs are actually willing to pay for. So one of the things he can do with your pics is document the journey of your business and let this these AI apps help you identify patterns and help you to get the best pictures along the way.

So one of the things I want to talk about here is what's one of the best ways to document your journey with your business? And part of that answer is, of course, not only with these pics that I'm talking about, but it's also with your business data. You know, there's some, obviously companies that are selling things online, right, some call it e commerce, whatever it might be, but any sort of selling online, you're in a great position to leverage AI because you're capturing a lot of history. A lot of data along the way.

So there's a recent research article I was looking at from usmsystems.com they're talking about some success stories of AI in the e commerce industry. So that's companies that are selling retail online. And the it was noted that back in 2014, so where are we to was that six years ago, that the the online sales in terms of billions of dollars now these are us numbers, so that was $1.3 billion dollars, right? That's six years ago, in 2020. It's estimated to be around 4.1 billion Holy smokes. All right, so about four times as much by the end of 2021, will be around 4.8 billion. That's huge growth.

In fact, as per some research reports, It's estimated that AI is going to start using a fire. If I'm reading the report, right, about 60% of e commerce will be using AI. Now if you're doing some e commerce, meaning if you're selling anything online and you're not leveraging AI, that's obviously something that you really need to look seriously at. There is a study by PwC PricewaterhouseCoopers.

They identified that the AI usage will increase the global GDP by 14% by the year 2030. I've mentioned that report before. That's huge right? Now the real trick is, are you leveraging AI for your business now let's take a look at some examples here. This is from a one particular research article from usmsystems.com ready, but back in 2006, Burberry company adopted AI now when I Think back about that. I think earlier my career, you know, the the use of AI was not huge course my career started way before 2006. But in any event, still, you know 2006 leveraging AI that was for this select few for sure. All right now and then even they started back then Burberry did right of all companies and they were an early adopter of this. And then they've, they've estimated that by 2025, that about 20% of their luxury Sales are expected to take place online. Now, what's interesting about this is that, you know, they go after a luxury clientele, which typically is focusing on a face to face sort of sales experience, but for them to say, Hey, you know, in the next few years, we expect 20% of our revenue to actually come from that that's a huge statement, and they're leveraging AI to help them do that.

McKinsey has a really powerful consulting organization said about 80% of luxury sales are influenced by online e-commerce stores, which is kind of interesting. So in other words, it just the fact that you're online and you're selling things online that actually influences luxury sales. So that's that's huge, huge impact. Turns out Burberry Burberry and I can say it has been using RFID tags I don't know if you know what those are, most do. They're using it to track and collect data about how customers interact in their stores. And then they collect that data both how they're interacting customer activity online, as well as past orders.

And then they do a bunch of sales analytics with AI. You know if you're doing anything online, Oh, did I already say this? Start start point some AI right, even Burberry started figuring that a long time ago. Here's another one stitch fit. Stitch Fix. Wow, say that five times fast. So they again, use AI to streamline both their logistics and their operations, again, they're doing this with their online business, but they use it ultimately to figure out what's the right place for locations of warehouse and you know, where it's closest to cus consumers locations and things like that. All right, let's look at another one that we all know Starbucks. They introduced a virtual assistant to help customers order coffee online, right? And you can do it through their voice or text. There's some AI in there to do that. But they end up connecting it to then your activities when you're actually at the store itself. So when you enter the store, the barista can then retrieve that information and place an order that ultimately lines up with your previous purchase history. So they've got a whole bunch of capabilities now with Alexa. Right?

So they're listening to that. In the end, they're collecting data with every time we touch their company, and then they use that data and AI to them. Figure out, right? What's the right way to approach this particular customer? Let me mention one more. So this is Domino's Pizza. And of course, they've been selling about 55% or more of their pizza online now, right, which is kind of huge for pizza group, right? When you think about that. Now, what they do is they take the data that's been collected, and they derive a whole bunch of insights on who's the person in that household that tends to buy the most, what is it? You know, what are the ingredients that they put on the recipe, or excuse me, on the pizza, and so forth. It also helps them to generate unique coupons for that person, right at the moment that it's interacting with you.

Anyway, tons of AI involved in that the common thread is at every touchpoint that you have, either in terms of preparing to talk with your customer or in interacting with your customer meaning think about going from the ads all the way through to The customer interacting with you online. And then and then even afterwards in support mode, you capture lots of data, that data then translates into a mountain load of business information that AI can harvest from. So therefore what you know, what does this mean to your small to medium business? Well, number one, be diligent about leveraging AI to expose the good and of course the not so good. And do it early in the process kind of like what micron does right early in their quote unquote manufacturing process. So think about it early in your business processes. capture as much as you can and get started evaluating your your data use an AI number to document your journey as a business AI camera detection will actually help you with this journey.

It actually turns out to be a real moneymaker for you too in the future. And then number three, of course, like the online e commerce companies that had mentioned, start analyzing Your Business Information now be intentional about your AI strategy down the road, you'll start applying multiple AI techniques over and over again, right? I mean, when you started shopping a Domino's Pizza 1015, whatever, 20 years ago, no, no AI was involved at that point right? Now today they use it in a ton of scenarios. And you keep thinking, Oh, this is just about pizza. It's about business information to help serve the customer. Alright, thanks for joining and until next time, get started on your AI journey.

Thank you for joining Grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your FREE eBook, visit ClickAIRadio.com now.

When it comes to YOUR BUSINESS...Optimize, Transform, or Become IRRELEVANT!!
The technology and business climate have changed; at one point it was more costly to apply AI to Your Business.
However, today it is MORE COSTLY to NOT APPLY AI to your business to help you pivot and succeed with your Business.

Hey, this Grant thank you for joining another episode of ClickAI Radio. Okay, so today we're talking about optimizing transforming or becoming irrelevant. I think those are three Critical choices that we have for our businesses. You know, it seems that if we adapt our business to changing conditions, then we tend to maintain our relevance. I've been involved with four startup companies over the years, the first startup company was right out of Chicago, excuse me, right out of college, my wife and I loaded our brand new baby up and moved to Chicago. We were developing solutions for healthcare organizations. We couldn't quite pivot that one fast enough to keep up with need. So very important lesson learned.

Then years later, I got involved with another startup company that I helped develop this one was in Silicon Valley, and the focus there was on providing tools for software engineers. And then the third startup company, again was in the software engineering space. We have offices in Washington, DC and in Denver. And again, we're focusing on project providing solutions for companies that were developing their own technologies. And then in the fourth startup company, again, very similar in the space in terms of it was in the software engineering space. Again, this one is in Silicon Valley, providing tools for large companies. So, of those four, three of them, we, we sold off and that that was a journey in and of itself. But the lesson on each of these was the need to adapt constantly to be ever aware of the changing macro market conditions, other new technologies coming in shifting needs of your customers and the expectations from them. So here I was looking at some examples of companies that did not adapt and these are all ones that you're familiar with right blockbuster we all know the story of blockbuster right ceased operations in 2013. You know, the senior executives as I understand it, understand it were given some opportunities to adopt online streaming, but they ended up deciding against it. But we know what's happened to them now, certainly there's other organizations that aren't around a day like toys r us, right? They see stop operations in April of 2018. One of the challenges they had was they overextended on their properties on the real estate and didn't create new customer experiences. That's that's a no no for us, right. The other hair example is around borders, bookstores. We know they ceased operations quite some time ago back in 2009. But fierce competition from supermarkets, online sales, right, digital books, I mean, can you say Amazon, right?

So the critical news here is optimized transform or certainly become irrelevant. So there are multiple ways as we know to adapt your business right? The focus is to serve your customers to live another day. Right. And one way to do that is through business optimization. And the other is through business transformation. So I want to talk about those and separate those. But what is optimization? When you're going to optimize a business? What does that mean to do that? Here's one potential definition of it. It's when we focus on business performance, right? We want to keep the lights on. Obviously, we're focusing on delivering projects and achieving some repeatability and scalability. So when we have a business model that's operating Well, it's still meeting those customer needs. But we're looking to improve performance and getting efficiencies out of the business. That is an opportunity for optimization. Now, when you think about some of the businesses I'd mentioned a moment ago, all right. Would optimizing their business have saved them? Well, I don't know. Maybe in some cases it might have or might have lengthened out the amount of time perhaps they might have had. But optimization is focused on the current business model that you're working with right and improving efficiencies.

Now, one of the thing is your business might be in the state of needing optimization. And it turns out artificial intelligence can really help with this, right? It can look at the business information that you have in your current business model, and identify patterns and probable future behaviors. Right. So the question is, what is the state of your business? Is this an opportunity for optimization? Are you looking to optimize refund reduction or sales growth or lead identification? If so, AI can help with things like that as well as certainly other areas. All right. So the first question is optimization. It can really help a business become and maintain its relevant, its relevance. Alright, let's talk about the other flavor. And that's transformation. So what does it mean to transform a business. As you know, it typically means to focus on new business capabilities. Now, it may be done within the current business model. So if you're if you have a business, you have an existing business model, but you want to add new business capabilities, they may take the form of new products, right or new services within your current business model. Now, it generally translates into doing some innovative work. So to transform a business means you got to do some innovation, right got to sort of break the chains of how you've been doing things in the past, it might still be in the realm of your current business model. Sometimes though, you're innovating to react to market pressures, right? or other times you're leapfrogging your competition. However, transformation, as you know, can also mean a new business model. So it's a new way to do things.

Now. Let's think about it. What are some companies that you know, that have developed the art and science of transformation right? Let's think about that. Obviously, one that sure comes to everyone's mind is Netflix. They certainly started with shipping DVDs, right? And then then they move to digital streaming. That's a new business model, right? And of course, now today, they produce movies. So this is really an example of what we call vertical integration, right? Where they end up owning everything from top to bottom. They, they not only stream the content, but they actually produce it now. Right? So to vertically integrate your business. That's a big deal, right. So Netflix has been applying AI to help them transform their business model, right, going from GM shipping DVD all the way over to Holy smokes. I'm actually producing the content that I'm shipping to people. Here's some examples, right that they've done this. I found this in one report not too long ago on becoming human.ai. How's that for the name of a website? All right. This is some things that they had identified that Netflix had done with AI to help them transform one of those around personalization of movie recommendations. Now, if you've ever used Netflix, you obviously can see how that affects you, right? Because it starts to see and figure out what it is that you're interested in. Here's another use of AI. It's around the auto generalization and personalization of thumbnails. So when you're actually scrolling through Netflix, it looks at and figures out, this particular thumbnail would be more interesting for grant and therefore have a higher probability that he'll click on this movie. Interesting, right?

Here's another AI use and it's around the location scouting for movie production. Right? You got to figure out Hey, you, you know you're gonna look at costs and expenses and weather, all sorts of things to help them figure out the right locations for producing their movies. And then there's movie editing AI actually gets involved with identifying those hype. Probability times are places where human reviews or involvement should be participating. Now, you know, that's, that can be very costly, right? So you're going to want to be able to take advantage of that. Here's one more I'll mention. And that's of course, around streaming quality. None of us want to have our movie interrupted, heaven forbid, when we're watching something. And so they've got AI that looks at server bandwidth. And if you're a nerd, you're going, you're shaking your head, like oh, yeah, regret In any event, server bandwidth, right? The ability for a server to keep up with the demand that's on it. All right. So that's Netflix, right? Lots of AI for transforming your business. Okay, so so far I've mentioned, look, you can use AI in optimization activities where you're trying to get improvement in efficiencies. Those are very optimization centric, but certainly, hey, things going on with COVID and other competitive pressures. I may have to transform my business and actually take on new new products and services. So AI can certainly participate in helping with that.

Here's another example. McDonald's, they're starting to use AI in their ordering process. Right? So hey, would you like some fries with that? So Mickey D's is actually using AI to try to predict your answer. Now, the impact of that is, is that then they can train, you know, downstream or I should say, upstream look for inventory planning and things like that. So the prediction of would you like fries? And the answer to that certainly impacts their supply chain so they can stock and doing Tori accordingly. They have a new lab called McD tech labs. It's no it's not that new, but it's called McD tech labs anyway, they're applying a lot AI. So whether you're working with hamburgers, or whether you're streaming video, ai gets involved in both optimization, as well as transformation activities of your business. So here's the question. question, what's your objective? Right? First, you have to decide in what manner you are either going to maintain or grow your business. And if you're going to focus on optimizing your business, look at the current processes and apply AI to uncover insights. It takes iteration you can't apply AI one time and make some adjustments and be done. You actually apply it over and over again, because you're changing history and therefore your business information and your data footprint. So you got to do it multiple times over a sustained period of time. If you're going to focus on business transformation, then you know, perhaps it's a new product or service or maybe even a new business model, think Netflix right like going from shipping DVDs to to actual digital streaming, then leverage AI to produce as many insights to the relevance and the value of the target product or service.

So moving forward today, you know in business without applying any is actually a costly decision. There is one point in the growth and maturation of AI. And of course, we have a long ways to go for AI to get obviously even more more useful and more relevant. But nevertheless, there's a point where it was so costly to do AI, it was hard to justify. We've we've tipped that now right now we're working on the democratization of AI, for small to medium business environments. That's my mission to help you do that. And that is actually very cost efficient. So to move forward in your business direction, without including AI, that's actually the more costly thing. So don't do that. What you rather do is you get involved with applying AI to help your decision making and shine the light on all of the secrets that are available to you that are in your business information. Now, it may mean that if you don't do that, then you might end up on the endangered species list writer perhaps become extinct as a business like those three that mentioned before, right blockbuster obviously, didn't pivot, right didn't keep moving forward with it. Hey, I really appreciate your time. Thanks for joining and until next time, pick your business route to apply AI, whether it's optimization or transformation.

Thank you for joining Grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your FREE eBook visit ClickAIRadio.com now.

What can AI do to help small businesses with so many business failures taking place with COVID-19?
There are plenty of stats around that quantify the number of businesses dropping.
Understanding these stats is useful, but, it leaves us to ask: Therefore What?
Therefore, what can AI do to help the business owner mount a massive plan to rebuild, and pursue the business vision that was once your??

Hey, welcome everybody. This is Grant thank you for joining another episode of ClickAI Radio. All right, so been thinking again, still this is really part two of AI combating COVID when you when you think about all of the all of the carnage, if you will, in terms of the impact of businesses, definitely the impact to human life has been horrific. But also the impact to the businesses as well. And all the people's lives affected by that. You start asking the question least I have, I've been thinking, what can I do to help small businesses with so many business failures taking place? due to COVID-19? Oh, here we are in the first of September, and we've got lots of credit, potential downstream problems coming to us. There are plenty of stats around we're going to take a look at some of those that quantify the number of businesses that have been dropping that have been falling by the wayside. Understanding the stats, I believe is useful. But it also leaves me to ask therefore what they're For what can I do? What can I do? What can I do with AI, as a business owner to mount a massive plan, to rebuild and to pursue the business vision that was once yours? What are the things that we could do?

So I don't want to just focus on here's all of the negative things happening. It's important for us to understand what's happening. But we also want to pivot forward and look to the future and say, therefore, what can I do to regrow and regroup from this. So first part, let's take a look at some of the stats going on. First one comes from Bloomberg, this is a report that came out is around the end of July, so it's about a month old. It indicated they actually were referencing Yelp. And with Yelp, they had shown that that there was more than 80,000 companies that had permanently shut down now that was during the period of March 1 to July 25. Have those 60,000 more local businesses, meaning they have fewer than five locations, about 800 of the small businesses filed for Chapter 11. Interestingly, there's a fair number that did not file for chapter 11. That's that's another another conversation. In any event, that that amount right there is up about 30% or more from last year during the same period of time. So that's a big number. That's a big shift. Let's look at another stat here. It says, you know, while the businesses you know, these small businesses are having these challenges, the firm's with fewer than 500 employees, and up accounting for about 45% of the US economic activity. That's quite a bit when you think about it. Almost half of all American workers come through these small to medium businesses. And here's another stat also from Bloomberg. It said hey, in June of 2020, there is a survey that showed that 31% of owners reported lower sales in the past three months, while 7% reported higher sales a year earlier. All right, you kind of expected that. All right. In the same survey, though only 13% of business owners said it was a good time to expand. Right? That's a dip from 24% a year earlier.

Alright, so fewer thinking, Hey, I'm thinking bullish about business right now. So that's not that's not too surprising. There's some interesting stats in terms of the businesses that have had impact, you know, largest impact, no surprise here, the restaurant sector took the biggest hit right there. Retail and shopping was the next largest beauty and then automotive and then down into event planning and that order in terms of order of of impact or level of impact, I should say. All right, that was from Bloomberg case. So that's one view of the impact of the small businesses end Jump over here. There's another report from the Proceedings of the National Academy of Sciences. And they just quickly they pointed out about 50% of small businesses have one to two months of cash available. There were some other stats to it came down to it was around 15% or so had three to six months of cash available. So cash is king, and boy if there's no cash coming in, and that's all we've got in terms of our runway, that creates, obviously a massive problem. So that's another issue. Of course, the question that leads me to think is, is there cash in the business that we're not getting access to? And I actually believe there is I believe that AI from my experience, we can use it to help us discover cash that's available. I'll talk about that in a bit. here's, here's the third area, a third report from CNBC. That came out in the end of June. Talking about the amount of help that small business owners had gained the the payment protection pro met or excuse me the paycheck Protection Program and the economic injury disaster loan program.

All right, those aren't easy to say, not easy to roll out anyway, they, they gave out nearly $630 billion in funding. And about one fourth of the small businesses that receive that funding are already considered or considering closing their doors. And of course, the question that comes up is, gee, how do I pay back? Right? And what's the implications? Right, will there be forgiveness if I do close my doors? That's a whole other topic as well want to shift the thinking? So that's a dark picture, right? But I believe that there's a bright future ahead of us as a people. And with that, I want to talk about some techniques where we see AI being used To combat COVID itself, and then we'll shift another segment as well. But just briefly in this segment, ai combatting COVID this particularly comes from a report focusing on Asia, right? And so what are different countries in Asia doing so there's Mainland China, Hong Kong, Taiwan and South Korea, in this report. In this report, it pointed out the following places where they are gathering data, and that data is being used then for AI purposes. So I'll break this into piece first, where are they collecting the information or the data? Alright, so between those different countries, they're collecting it from places such as transportation systems, Immigration and Customs databases, obviously the COVID-19 databases so healthcare data, so multiple countries are using that data, mobile data, mobile technologies Right social media, credit card transactions, closed circuit television. So you know, security cameras, GPS on the car, and then wearable tracking devices. All right, so those that there was like eight or nine different locations, and you start thinking, Wait, what's the connection between that data and COVID and and something to help me address COVID related scenarios. So I'll just call out a couple of the so one of them is an AI based tool that facilitates targeting lockdown and reopening, right so in other words, it monitors where a person should be right of course, there's different cultures and and government policies. I'm not here to comment on those, but in any event, so using some of those trackable device data or mobile data, etc. If you're classified as a you know, you've got COVID then you are asked to stay within certain location. And there's some AI helping to monitor that.

There's other AI based tools in these countries being used to enable quick diagnosis and classification of patients, right. And we've seen some things. Yeah, here in the US. Some organizations doing some things like that. I'll mention one here in just a moment. And so that's a critical way and unnecessary way to use AI. All in all, there's some strict home quarantines for those that have COVID in those countries. And as a result, use of this data across all these different data sources that I had mentioned, are being applied. All right. So that's AI combating COVID nasia capturing a two part sort of a social cultural use of AI Hey, stay where you should. And then there's there's the approach that says, hey, we're gonna actually gonna try to diagnose, diagnose you better with that. All right. Talk about here in the US So, and I h launched a medical imaging technology using AI to fight code. This came out in the health analytics.com report. So the NIH rolled this out not too long ago, here comes a big acronym am idrc. So that's medical imaging and data Resource Center, what they're doing is they're utilizing AI, medical imaging, to course look for those assessment opportunities. And earlier that they can assess it, then then the better. Of course, they have the opportunity to help the patient with that. So they're gathering large repositories of COVID-19 chest images, and the idea there are courses. It allows the researchers to ask critical questions, and then ultimately to develop what the appropriate next steps are for the people. So that's a cool way to use AI, obviously to help people's lives. So the question is Therefore what? Right? So if you're a small to medium business owner, if you're an entrepreneur, you try to make it through this tenuous time where there's lots of companies that have been dramatically impacted negatively in lots of people's lives who have gotten sick with this.

Therefore, what does this mean to your business? So as a business owner, we need to at times, think as a researcher, right? We need to look for ways to evaluate your business data. How will you evaluate your business data? So just as those COVID researchers are certainly evaluating tissue data and asking critical questions? What business data will you evaluate? What questions do you have about your business now what this means to your business is that you should run some AI predictive analysis on your business information. In other words, turn your data upside down, inside out, look for the successful patterns that built your business. Many of them you know cognitively or empirically In other cases, you won't know them, right. And we want AI to be able to highlight those and make you aware of those. And just as it's important to understand what the positive patterns have been, also look for patterns that created negative growth, right? And the sooner you can discover them, stop doing them. Right. And so AI, there are some that you already know you don't need AI to tell you. But there are others where there are times where AI points out interesting patterns or behaviors, and you need to be apprised of those and stop bleeding cash in that happens. So if you want to learn how to do this, subscribe to the channel. Reach out to me, we'll have a conversation and we can help you get started with this. Don't forget the purpose, the mission and the vision for why you started your business. Hey, thanks for joining looking forward to speaking with you again.

Thank you for joining Grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your FREE eBook visit ClickAIRadio.com now.

We know that AI is being used in certain healthcare scenarios and impacting business supply chains.
But, what are the REAL lessons, and do they apply to me and my business??

Hey, this is Grant thanks for joining another episode of ClickAI Radio. So I've been thinking about could there be some lessons learned from AI's use during COVID-19.

Could those lessons be applied to help our business? So to do that, I wanted to first start at what are some things that AI is doing to help combat COVID-19. I saw a report not long ago from the World Economic Forum, they were talking about some ways in which they've seen it applied. And it's areas that of course, if you're watching the news at all you're fully aware of, obviously, AI is being used in the healthcare industry, certainly with research labs and hospitals. They're using AI and machine learning, which is a component of AI in multiple ways. One of those ways that's interesting is in the use of chatbots. And sometimes we love to hate those things, right? Because we really, really just want to talk to a human, but the AI is informing these chat bots. And in one particular group, it's a startup company out of France. They're called Clevy.io.

Is the website, they are a French startup company. And they're based on the Amazon AI platform. Anyway, they launched a chatbot to make it easier for people to find official government communications about COVID-19. It's already handled over 3 million messages. So that's, that's pretty amazing, actually, when you think about the load that that took off of humans, right, in terms of having to manually do that, or the real question is, and what I don't know is how effective was that communication? Right? Did the AI really help?

When you think about with your own business think, okay, could I leverage a similar approach? Right, can I apply AI for my chatbot support? Alright, so that's one area. The other area, of course that we see AI being involved with is in the evaluation of the tons of data, right the the health care providers and the research they're, they're faced with this exponentially increased volume of information about COVID-19. And the reality is, AI thrives in that sort of environment where there's lots of data. It's difficult for us humans to derive insights from something like that. And so as a result, Amazon launched this search, it's actually really cool. It's called the cord 19. Search, CR d dash 19. Search. It's this website that's powered by machine learning that helps researchers to quickly and easily search for research papers and documents and answer questions like, you know, when is the salivary fire load highest for COVID-19? I don't even know what that means. But these researchers do, I think it's awesome that they can leverage AI and machine learning to do something like that. So you think, Hey, we got to have something like that for small to medium business owners, right?

We ought to have a place where you could go and be able to ask a lot of questions about running your business. And what it's doing is it's leveraging a bunch of documents, best practices of business. Right? That would allow you, huh? Remember that? I said that Okay. All right. So let's look at another way that AI is, is helping out during COVID. This has something more to do from a business process, a value chain issue, right? It's really to help avoid the disruption in the food supply chain. You know, some food processors and governments obviously need to understand the current state of agriculture, right? And what's happening in the food in the food chain. Lots of organizations and people are involved in solving that problem. So there's this agritech startup company called mantle mantel labs. They're also an Amazon customer.

So what they're doing is they're offering this AI driven crop monitoring solution, but what's cool about it is they're offering it to retailers free of charge free of charge for a period of time during COVID. You know, that's obviously to take some of the pain, the financial pain off, but also to deliver the capabilities in there as well. It's amazing how this technology works it, it assesses the satellite images of crops to flag potential issues to farmers and retailers early on, so you can get notification early on about any impacts to the supply chain. I was talking to a supply chain group, this is probably two months ago now. They were talking about how when the COVID stuff first hit, they provide supplies to some of the major restaurants that have global reach. They ended up shifting the use of their supply chain to help to help manage and store extra supplies like toilet paper and things things like that. Right which is amazing, right?

And so AI and mL, it's helping both in the healthcare and research labs. It's helping in supply chain, obviously, and in other areas also. So the question is, Hey, can we learn some lessons from this? Well, alright, let's look at another example here. The MIT Technology Review shared an experience that they saw that they took note of. They said, Hey, in the first 10 days, when the pandemic hit, the Amazon, top search hits dramatically changed, right? It started to of course, include things that people started buying in bulk that Normally we'd not been buying in bulk. So things like toilet paper sanitizer, masks and so forth. Right. And so the interesting part about this is where the AI models are in place, and are trying to optimize, oh, how can I make sure I get the right kinds of goods to people.

People are typically searching for phone case chargers and things like that. Those were like in the top, top range, suddenly all that is within a matter of days, gets just turned upside down. And now Hey, people looking for toilet paper and sanitizer and masks. And so the AI models actually had had not been prepared for that it had an effect on the AI models in place. Now, this is really an important lesson because the AI models had to be updated to reflect the change in behavior. Now, this isn't surprising to me, right? This is actually, this is actually the way in which we should deal with our AI models. Gartner, who's a leading research and technology research firm, advisory firm, they they shared a report was this is some time ago, four or five months ago, where they said, Look, there's many teams that are implementing AI, but not many that implement a monitoring solution.

In this report, they had this maturity model, and they talked about, how mature is a company if you use an AI this way, whereas you're in another level of maturity if your company another way, and the net net of it was that if you're doing some monitoring, and then making adjustments to your AI, you actually are in a better position to pivot your company. Right?

So that starts to become a critical aspect to creating what we call an evergreen profit for your business. See, the reality is, machine learning models are intended to support some level of flexibility, of course, but they need to be revisited and reshaped over time when it gets when a deviates too far from what the model knows to be, quote unquote, normal, right? Then of course, it needs to be modified. So here's the key thing, right? One of the best things you can do is you can incorporate frequent refinements to your AI models, whether your AI models are telling you how your customers are buying your products, or how you're providing service to them or what their refund levels are.

All of that changes over time because of things that are outside of their control, in this case, a recent pandemic, but it could be other things could be competitive pressure can be a shock to their own supply chain or your own supply chain, whatever it is. The key is to connect your business information to your AI models, right that that starts to become the key. And then to implement a monitoring process. The monitoring process keeps an eye on, Hey, how are these AI predictions going? And is the new data we're getting and the way that our customers are working with us? Is that changing our aim our AI models and predictions, so you got to be prepared to adjust the AI model so you're getting the best insights and the predictions. Okay, so in summary, what are the two lessons we can learn from AI's use during COVID 2019. There's two here.

First one is working with fewer resources at your disposal as a small to medium business owner, you want to leverage AI to give you the business insights and the predictions that you need to help you use your resources even better. That's lesson number one, right? COVID-19 has definitely reinforced the need for that.

Number two, lesson number two, set up the continual monitoring and modification to your AI models, right? Because you don't know when toilet paper and sanitizer metaphorically are going to jump in priority. And then you need to be able to pivot quickly as business, right?

Those unforeseen things, you want to have the AI be apprised of this and so put in place regular like monthly every other month monitoring of what's changing in your data and therefore what should your AI models be giving you additional insights and guidance on? Okay, that's it for now.

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AI-AI-O...oh oh!! What are the real AI problems and the threats to your business, or even to YOU!??
Should I not use AI in my business?

What does that an AI problem or threat look like? So, to get started with this, I looked at what several organizations were saying on this. Here's one this came from an article out of tutorials point they were claiming that AI is growing at such a rapid pace. It seems magical magical is the term they indicated the researchers note that AI could take over human jobs. Alright, there's certainly some truth to that. I don't know about the magical part. Probably because while I'm in AI, and I build AI stuff and doesn't feel so magical, but Okay, here's some threats. All right. So there's one threat to privacy mail to privacy, right privacy of humans, right. So an AI program that recognizes your speech and understands your language is theoretically capable of understanding your conversations on emails and telephones, right. Okay. So that's it.

Here's another AI Oh Oh, it has to do with the threat to human dignity. What that means is some feel that AI systems will start replacing human beings in certain industries. All right, so that's a that's a threat or problem caused by AI. Here's another one a threat to safety. So that they feel that when an AI system is self improving, it can become so mighty that humans will have a hard time stopping it. Okay, so that's what one group claim that came out of it tutorials point article. Here's what some folks on Wikipedia, were articulating. They were talking about the AI control problem. So the concern here basically is, sometime in the future, the term that's used is there will be a super intelligence and the super intelligence will overcome human intelligence. Now, while this is a potential with the AI that I've been working with and seeing, I believe

This is a long ways off from the moment of recording this now brilliant minds like Stephen Hawking have suggested that, you know, we need to start figuring out now how will contain that super intelligence AI system in the future. So that's fair. But for right now keeping your AI under control that's in the minds of the great thinkers. But let's talk about the AI problems that are actually a little more realistic in terms of here. And now because, well, you're solving business problems today. And what do we know? What does that look like? So one of those is the problem of perverse instantiation lines and tigers and bears, oh, my perverse instantiation who comes up with these names? All right. So that basically says, hey, we've got a problem where the AI perhaps gets assigned the wrong goals by accident, right. And what it means is that the smarter and more capable an AI system is, the more likely it could find an unintended shortcut that satisfies its goals.

So to say it another way, the end does not always justify the means, again, today, we're not quite there, right? It's not quite that far along. Now a human could take the results of some of the AI stuff and use it in matters that might be unethical. But is that really the AI system doing that? Or is it the human? So I'll give it I'll give an example of this going to the extreme though. It's kind of like that will smith movie called iRobot? I don't know that's made eight or 10 years ago, I don't remember but, but it's where this AI system determines that running an efficient society is the most important thing and given given that the humans are inefficient, well, then the humans need to be constrained. Right? And so you know, watch out AI alert. So that's an AI AI Oh Oh, in any event, today, I don't see that yet as an issue.

Let me turn to an article this came from McKinsey, they're a great research and consulting organization. They gave this article on what are some of the problems and challenges around AI? And one of them pointed out that, and I think this is very relevant today, it's around the explain ability of AI, right? Sometimes it's like, Oh, it's such a mystery that you just can't understand what the heck this is. I'll give an example of it, right? So when you have a collection of AI algorithms, and at the end of the day, it's software running math, it's looking at probabilities. Deep breath. All right, that's what it is. And when a bunch of them, you know, come together and say, hey, there's high probability that this is the direction to go. It's not always black and white. And sometimes as a business owner, he'd kind of like to know is it a yes or is it a no, right?

Should I do this or should I do it not and so sometimes the explainability as a little tough. It's like, well, you should do it only if it's a Tuesday in Belgium and it's raining in Pennsylvania, right? In fact, not long ago, I was doing some AI for an organization and had an answer kind of like that. It's like, hey, when it's raining, wherever your customer is sitting, they tend to be indoors more, and they're listening to what you're talking about in selling, therefore, your sales go up. And so that kind of thing actually happens. So this is actually where I stand. I stand with McKenzie, because they go on to start describing what the business benefits are of using AI. So I believe that we can make the predictions from AI understandable for small to medium businesses, even though AI can have an explainability problem. Lots of times that is incumbent on us as the as the humans to do that.

So I intend to democratize AI for the small to medium business owner. Now what does that mean? It means that we can apply AI today to small to medium businesses.

It can provide value to grow your business. So let's look at some practical AI use cases. This, this next piece also comes from, from a McKinsey article, they're talking about how there's a set of practical AI use cases that are found across in their words, all sectors of the economy and multiple business functions, from marketing to supply chain to operations. Deep breath, Okay, that makes sense. All right. So you can use it in sales, marketing, supply chain, improvement of your operation efficiencies, and in many cases, the deep learning techniques are used. So what's deep learning deep learning is kind of I'll give an example of deep learning. Let's say you're standing in a room and you need to leave the room. Okay, as a human, we will move around and look for the door. So that's the first problem find the door and then we will engage our legs if you will, to move towards the door.

Then we'll grab the handle, then we'll walk out the door and then we'll turn and decide which way to go once we leave it. That's a combination of problems stacked one after another. And you could have a neural network for each of those steps, right? Find the door neural network. Whoa, what does the door look like? Okay. All right, move towards it. Okay. Have I arrived at the door? Yeah. All right. Okay, now that I've, you know, exited the door, for example, which way do I go? so deep learning is nothing more than taking a collection of those problems, stacking them one next to another, and having all of the math and probabilities that are needed to help you answer those questions. So deep learning, okay, make sense? You can actually use that stuff today for small to medium businesses. But as a business owner, you don't have to worry about that part. Well, you want to think about is, what are my use cases? Am I trying to improve my sales or reduce my refunds right or improve my my supply chain?

So here's from the McKinsey work, they said look and their analysis of for over 400 use cases across 19 Industries, they found that AI improved on traditional analytics techniques in 70% of those cases. All right. So that's critical to know that, all right, the research also showed that using these deep learning techniques, they can generate as much as 40% of the total value of all analytics techniques by 2030. So in other words, the more that we can stack deep learning techniques, or I'll just call it artificial intelligence, for now, at least for this conversation, it's actually going to have a dramatic improvement over just core analytics techniques. The other thing that they estimated is that there will be a value to these techniques of up to $6 trillion in the GDP. All right, that's that's a big number.

But you know, what's interesting is even with those big numbers. Still they go on to say that only 21% of organizations have actually embedded AI into their business at some level, only 21%. And so the key here is, if you feel like you're behind the times when you're not, right, lots of organizations still have a ways to go with that. And in fact, most of these have been larger organizations. So for the small to medium business, the opportunity is ripe for you to actually leverage and take advantage of AI and use it to leapfrog your complex, you know, your competition. All right. So I wanted to point out something on the on that research that they stated, this is kind of interesting. They said, there's their surveys, surveys show that early AI adopters tend to think about technologies expansively. In other words, they're focusing more on how do they grow their business and increase their market share, rather than their rather than companies.

Focusing on reducing costs. Now, that's not saying don't reduce costs. But if we're fixated just on that part of it, then that actually tends to reduce the opportunities for us to leverage AI to actually grow the business. And they're finding that the early adopters tend to be more of the mindset, hey, I want to grow and expand and therefore AI becomes a mechanism that helps them to move towards that. The other key thing that that sort of jumped out in this was, they stated that highly digitized companies tend to invest more in AI and drive greater value. So another way of saying that is, hey, if you got an online business, then you're a perfect candidate for this. That's not to say non online businesses can benefit. Certainly they can. But they just saw they said higher value for the online businesses, at least for today, right with the current state of where AI is. But wait, are we talking about AI problems here? I got a little excited on some of the benefits, I can go back to pummeling AI, let me pummel AI.

So this comes from another research article out of Oxford. It was a study where they said that more than 47% of American jobs will be under threat due to automation By the mid 2030s. Now, I need to say here, okay, that's automation. Not all automation means AI. I mean, you know, a car is some form of automation, right? So, what I will point out, though, is that they do go on to state that AI though they so they narrow it down. And this is per the World Economic Forum, a research they did said that 75 million jobs will be replaced by 2022. Whoo. That's, that's a lot. I think. I think that's a little high, man. That's like in two years, we'll see. Now, the thing that's kind of interesting about this is that most of them come back and say this

The kinds of jobs that will be replaced will be the low skill, low educated jobs. And so what it does is it says over the next 10 to 15 years 40% of the world jobs will be replaced by AI based bots in the next 10 to 15 years. 40%. Right? That's sort of venture capitalist, his name is Kai Fuli says that like, Okay, if it's 40%, and they go on to again, they go on to declare, hey, this is for organizations or this is for skill sets that are, you know, that are the lower skill sets, then what it does is it gives us time to address the education gap we have about a decade right, some jobs will already start changing. But I also want to baseline on something that even today, there are not many horse carriage drivers and maintenance teams, so the workforce can and should evolve. So it's I don't I don't want this to be Oh, all gloom and doom because in reality, we have been retraining the workforce for generations as new rounds of technology and capabilities come, so this was really a call to while some view it as a threat.

I think as a business owner, we should really look at what's the impact to our workforce, if I could leverage AI to take care of these sort of activities, most likely it will bring productivity gains to my business, and quite frankly, today at the current AI maturity levels, that's actually how AI helps the businesses today, it's not some super intelligence that's, you know, running robots around and saying, you know, humans go away. It's not that at all, it's much more, oh, I'm gaining efficiency improvements. I'm getting insights into where I should be spending my resources and my time, and therefore I get these productivity gains to the business and that's really the benefit and the value of AI today. Okay, so there's tons of myths out there. There's tons of things that are saying, hey, AI is a threat and there are some significant issues to choose to definitely be worried about and think about.

Some of them are a long ways away. So that'd be take takeaway number one from this episode. A lot of myths, some are a long ways away, like the super intelligence thing doesn't mean we ignore it. But we also keep it in perspective. Number two take away, AI can and does provide value to small to medium business owners today. And number three, the scenarios to consider for you to improve are things like improving your sales and your resource usage and your supply chain, things like that. That stuff is very achievable, achievable today. So don't pursue AI in your business. If you can't map it to one of these kinds of scenarios, right, like sales improvement or supply chain and so forth. You need to be able to tie your AI usage, whether that's deep learning or predictive reasoning or image analysis, all that stuff. You need to be able to tie that to some business outcome and if you can't

Then don't do that yet regarding the AI control concerns that I started off with well, and until next time, I wouldn't worry about it, I'd focus on improving your business with AI and don't get too wrapped up with a lot of the AI threat or control hype. Hey, this is Grant thank you for joining looking forward to joining you on the next episode of ClickAI Radio.

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If there were 5 things You Could Do to GROW YOUR BUSINESS...WOULD YOU??

A recent report discussed 5 reasons a business fails...but, what IF there were 5 Things to Grow Your Business!!

I had an opportunity recently to review this report from a group, I was thinking about small to medium businesses that are struggling things that are going on with COVID, and so forth. And and this particular report laid out, I think, five things that that that small businesses run into that causes them to fail.

And here's the list is that first one was said 79% fail because they start with too little money, right? That's one of them. Number two, they said was 78% fail because they lack a well designed, or well developed business plan. All right, sell and then the third one was 77% fail because they didn't price things properly, or they fail to include all the necessary factors when they determine prices. All right, number four, they said 73% fail because they were overly optimistic about achievable sales. And then the last one, they said 70% fail because they don't recognize or accept their weaknesses and don't seek help from others.

This came from a report from keap.com. Alright, so those are the five things that they had identified, it got me to thinking as I reviewed it. What if there were five things that you could do that would grow your business? The question is, would you do them? Would you actually do it? If you knew five things to actually go do to grow your business? Would you actually get those done? Alright, so I'm gonna lay out five of these. Okay. And so the real question is, is, will you actually do it? And in fact, I heard a guy present like this. This is a couple years ago, his name's ping Joon, brilliant, brilliant marketer anyway, he says, I'm gonna tell you how to do something. He says the chances are you probably won't do it very provocative, right? And the list the things that he laid out for us to do in order to accomplish certain objectives or outcomes for a business. You're like, Okay, that's it. That's gonna be kind of hard. But he's like, hey, if you do it, I promise you, you'll have you'll have good results. Okay, so I'm going to go through these five. Okay, so here's the first one. The number one is understanding your customer. Alright, so first, ask yourself, do you understand your customer? Now, if you could write a list of your customers problems and pain points, could you do it? How long would that lists be? So let's stop. Now.

Write that down. And once you have the list, for each pain point, identify what you can do to help your customer overcome that pain point. Alright, so that's number one. Okay, so do that. Alright, now let's go to step number two. So before going any further, stop and define your perfect customer. So articulate, what are their roles, what are their characteristics, you know, their demographics and so forth. What skills do they have? What interests do they express, and now as part of this step, Look back at what you had identified in step number one, right, which is your understanding of your customer and refine it, refine your perfect customers problems and pain points. So go back to step one, say okay, now that I've got a picture of my perfect customer, what are the pain points and the problems that they have? Alright, so go back and do that. Alright, so let's move on to number three. So the question is, will you actually do these things? So here we go. Number three. Now take a look at your business products and the services and map them to your perfect customers pain points. And the question is, do you see any gaps in what you're providing and what your perfect customer needs. And the idea here is, of course, is now create a plan to fill those gaps. Now, key part of that plan must include the validation of those pain points, because it's possible That, you know, we create what we think the pain points are, we actually have to get those validated. So what you have to do is you come up with a way in which you communicate with your customers.

And each business may do it differently, right? You might, you might not only might email them or you might podcast with them writer, or you might get call them on the phone or, or otherwise right difficult to do something's face to face now with some of the COVID. But still, the key here is you got to communicate with them. And you got to get the message of the pain points in front of them, and look for ways for them to validate what their pain points are. Now some groups that I work with build communication plans, and I highly encourage you to do that. It could be as simple as a spreadsheet that says, here's this, you know, target audience of my customers that are my perfect customers. Here's how I'm going to communicate, here's what the message will be. But the key here is do not go to the next step number four Until you've done some validation of your perfect customers, pain points. All right. So let's look at these again. Number one was, know your customer understand their pain points. Number two, define your perfect customer and then scoot back and refactor that list of pain points. Number three, look at your business products and services, map them to your perfect customers pain points, look for any gaps and now start figuring out how will they validate these All right, okay, I do that validation. Now, I'll tell you number four, but don't do it yet until you make sure you've done the first three. Here's number four. So recently on this podcast, I had my son Steven, talk about this a little bit. He talks about this next step quite a bit.

It's about preparing to launch your newly defined product and service. He calls it making noise right? The the basic idea is all right, I've got a perfect customer. I know that their pain point is I validated it. But before I actually launch, what I really need to do is I need to prepare my customer to receive that I need to prepare them to actually be ready for that I need to make some noise. Now, you have to allocate plenty of time to communicate with your perfect customer, what the capabilities are that you'll be bringing to them, right, that's going to address their pain points. Now, this requires organ This requires organizing your message, right? It means building the flow of information, preparing the right stories, to help your perfect customer move from their place of pain, to their place of realization. Now, as you know, this is generally an emotional journey, right? It's like the journey that characters go through in a story, right? Like in the movies, right? Or in a great book. It's generally the internal journey, and we have to help them make that internal journey right. Sometimes we call it character development, right meaning In the story, we see the character begin to think differently. And they become different, even though there's some other external things going on whether they're on their own physical journey going somewhere. But then there's the internal journey where they become different. They view things differently. Well, that's what we, as business people have to help our customers do got to help them go through their own internal journey, and help them see and realize come to their place of realization, or the expression where they are they experience the value that you're going to deliver. So that's a critical thing. We got to help our customers see themselves overcome their pain points, and realize that it is possible to do this through the business products and services that you're providing and offering.

Okay, so that's step number four. Take a breath. That's a critical step. Alright, here we go. Number five. So before I go to number five, on number four, the question is will you really do it Really do these four things because these are crucial, crucial to being successful with it. Alright, you're ready? Number five, okay? So it's all about price, right? But it turns out price is all about value. So in other words, establish the price based on the value that people associate with overcoming those pain points. Right? So a brief example here, right? So I was a teenager, one time a group of us were backpacking in the mountains for a week, which I love to do love the mountains. And as our group was driving back into civilization, we stopped at a small store. We smelled terrible. So I'm sure we shocked the owners. We came into this little small store in the middle of nowhere. Now what we valued at that moment, was some of the food and snacks that he had in his store because quite frankly, we are quite tired of eating the dehydrated meals right? Do we been caring. So while the price for the snacks is relatively low, there was also only a few of them, right? And as young men, we were willing to pay a lot more right? In our mind, the value of what they were selling was really high. And so the point is, we would have tolerated a higher price at the moment. In fact, some of us bartered because there were only a few of those snacks. And of course, we were telling the owner, well, I know that guy only paid two bucks, I'll pay you five bucks for that, right. So the key is understanding and articulating a pain point.

And then selling a value based product or service that's beneficial to the customer. But it's, it's critical, right? We're actually serving them, we're helping them when we provide that value to them. But it's also necessary for the sustainability of our customers. In other words, if we're not around tomorrow, to help them overcome those pain points, we actually don't service them properly. So The key is to understand and articulate a pain point and then sell a product or service that's priced based on value, right, that actually provides service to them. Now it goes back to that old story of the master with the violin, right? That set up for auction. You know the story. The first time the auctioneer tries to sell it, no one's interested, right? He just holds it up, and then up, up, walks the violin master and he plays and suddenly the value shoots up in the minds of those that are sitting there in the auction. So think about it this way. You are the master at understanding how to take your product and service and overcome your customers pain points, setting your pricing based on the value that your customers associate with that pain point. All right, those are the five steps. The question is will you do that? Thanks so much for joining and until next time, articulate your business value to address your perfect customers painpoints.

Thank you for joining Grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your FREE eBook visit ClickAIRadio.com now.

What a pain in the neck!! What are the major pain points for YOUR business? What opportunities are you missing because of them? In this episode we will discuss several major, common pain points and techniques to overcome them...

Thank you for coming to another episode of ClickAI Radio. So today we're talking about pain, right? Something that well, we often Try to avoid I know I do. So we're talking about pain in our business and what that means and the different elements of pain that drive us. When it comes to your small to medium business. The question is, what are your pain points? What are the problems that you face? So I have an opportunity to talk with a lot of companies. And the list of pain points certainly has some common themes across industries actually, across the world. There are certainly unique characteristics of pain to each organization, but there is some common threads threads, what I find tends to change is the prioritization that we put on mitigating those pain points. Sometimes we get shiny object syndrome, right, and it's the next best thing or what we think is the next best thing or the next cool thing. And rather than mitigating those pain points, we will often avoid them because well, heck, who wants to mess around with pain? Right? So When I think about pain, when you think about pain in our business, there's four that I'm going to identify here. And I'd like you to think about, do you have these pain points in your business? Alright, so here we go. I'm gonna go through four of these. So, number one, number one. So that is what I see lack of time or resources to get certain things done, right. There's just when I look at all of the things that are on a small, medium business, this is a pretty consistent one. One startup I did years ago, we were developing some technologies to help software teams. We were so busy taking care of day to day challenges, that we ended up missing some significant business opportunities. Again, our argument was, well, I'm so busy taking care of day to day stuff that we didn't pull our head out enough to look around and say, Gosh, we could have really leveraged something to have received a better revenue and income opportunity for the business.

A survey found on medium.com indicated that 26% of businesses say that inadequate funding or staffing is their main obstacle for online marketing. That's interesting stat. Right. I actually think it's higher than that. I think it's more I think it's above that. But the bottom line is you're so busy. we're so busy, right when we're running our small companies, that we actually need a way to hand off what I would call treasured tasks.

Write things that are critical, but for which we need to hand off to someone to help us find those insights that can help the business because lots of times we as the entrepreneur, we become the blocker to the business, right? We become the bottleneck to it, because our skills right your skills are needed in so many places. So on the one hand, that's good, but the other hand We end up blocking in slowing down our own growth, because well, we're not handing off key things. And one of the most important things we can hand off is have someone take a look at what is it that we have been capturing and tracking our digital footprint over time, if you will, or say to the way our business information, what's inside there, what is it really telling me? What's the story of the past? What's the predictive look into the future that can come out of this that has high probability? All right, so that's pain point number one, lack of time resources, lots of times to even just go get insights. Alright, that's number one.

Number two. All right. inconsistent cash flow, right. So here's the question, right, kid can you identify opportunities to develop consistent cash flow? See, this is one of the big challenges here, right, which is, especially for us right and small to medium businesses, we've got things that we can do to improve certain aspects of this like improving our billing cycle and invoicing. Right? And leveraging good credit right through through good financial relationships and prioritizing our expenses, and saving and all those kinds of things. But in reality, and those are critical. So we got to make sure we do those. That's like taking your vitamins, right? That's like taking care of yourself and eating right. So those are just good practices we got to do. But what about, what about the cash flow coming in? So there's the management of it internally that I've mentioned, but is there something that I could do to help bring a consistent cash flow? What would that look like? Well, the turns out that there is cash sitting in your business, but the question is, is how do you access it right?

Generally, you're going to find that by looking again at what the Prince tell you, right? What are the insights from your business information that are going to say, Oh, it's during these times when you in fact perform the best that you exhibit these behaviors. Let's do more of those. And let's stop some of the other things that are actually not helping us. So that's the second pain point.

Let's move on to pain point number three. So this one has to do with what we call looking for the next lever to pull. Right. And so the problem around this is, you know, there's shiny object syndrome, right? We talked about that a moment ago. It's this, it's while it's good to be able to pivot as a business owner. It can also be confusing to our customers, right when we're constantly shifting to do the next big thing. Now, certainly, as a business owner, you got to always be looking for what the next big thing is, but sometimes we do this in the dark, right? We we We say, well, let's just go try this. So when we're marketing something, let's just go try this, see how it goes. And then, and then we say, well, let's see what happened there. Well, we're not really sure why it didn't work, or we're not sure why it worked even. But the bottom line is to overcome this, we need to be able to shine a light on our information that can help us provide insight in terms of where we should go next. So while it's good to be able to pivot, we also need to be able to say, Do I know why something worked or didn't work? And can I have the insight to do that? So no more reaching in the dark, right? There's ways to overcome this pain point.

All right, let's take a look at number four, pain point number four. So this is the one that is it feels a bit like a real downer because it's it's missed opportunities, right? It's a It's the opportunity cost that we bring upon our business. When you know, lots of times we don't even know it happened until later later down the road. In fact, I referred to it earlier, when I talked about the small startup that I was doing in the technology space, man, we totally missed some opportunities. And at the time, is like, not even aware of it. Not even aware that that happened. So what is an opportunity cost? Right? So you might as a consultant, say, you might get $75 an hour just making that up. And instead of working one night, right, you go to a concert that costs say, $25 in the last two hours, so the opportunity cost of the concert was $150. Make sense? Right. And there's plenty of examples of this that we do in our business, right? We might have, we might decide to quit working right and go to school for further training. Well, the opportunity cost was lost wages for a year, but what about for a business so Here's an opportunity cost you might spend your time and your money in your business selling a product. fact, let's say that you sell a product in market a rather than in market B. So the opportunity costs was, well, those opportunities we did not get from a right from the market. A question is, is that the right thing to do? What if we can have some insights that shed light on the better outcome, or course to take, there's some insights from the footprint of our data, right things that we've been doing over time as a business that actually can give us some great guidance on the time of the year or the month or the day or the time of the day even or whatever it might be, or when specific markets we should go after. So the common theme across these pain points while they're different and they're varied, is one word that I would use called leverage. Leverage requires To build on something, and the thing that we're building on is our business information, right? It's our data. It's the stuff that we have. And so it becomes critical that we nurture it, we take care of it. We know how to manage it. And we're also stopping to look at some insights that can guide us through this. So data is our friend wasn't that in the movie Finding Nemo?

Fish aren't food fish are our friends. Well, data is our friend. So I encourage each of us to take time to go look at our data and get the insights from that. My name is Grant. Thanks for joining and until next time, go get some leverage.

Thank you for joining grant on ClickAI Radio. Don't forget to subscribe and leave feedback. And remember to download your FREE eBook, at ClickAIRadio.com now.