In this audio recording from the MinneAnalytics MinneFRAMA finance conference, listen as Trust Insights co-founder delivers a technical talk on the applications of AI for marketing.

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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.

Good afternoon, everyone. I appreciate the fact that this is really sort of like the the food coma slash my coffee. Caffeine ran out of my bloodstream an hour ago. slot. So we’ll try and keep this interesting. Before we begin. This has been, by the way, I want to give a big hand please, to Graham and to the mini for analytics community, please do yes. And

I love how it is a blend of technical and business. So out of curiosity, how many of you raise your hands, see yourself as a technical user, meaning you write our Python or data or process data? Okay, a few of you. So when we get to some of the techniques, which I’ll be happy to explain at least a little bit about what’s going on behind the scenes so that you get some technical value out of it for everybody else. Just check your text messages during those points. This session is being recorded, the video will be available on the aptly named Where can I get the slides.com. So in about a day and a half, you’ll you’ll be able to get the full video in the slides. The reason we’re here is because we have been asked by our superiors by our stakeholders to deliver three things better, faster, cheaper, as marketers and marketers were nice people. But we’re not especially good at optimizing processes. We’ve been asked for better and in fact, instead of getting better, we’re getting worse. And the reason for it is that we’re being overwhelmed by data. This year, according to IDC, we’re going to generate about 30 zettabytes of data as a civilization. Now out of curiosity, how many people have an idea of how large zettabytes is okay, nobody, nobody has any idea. Here’s why it’s such a ridiculously large number. How many of you watch Netflix? Okay, cool. So like everybody,

if you look at a Netflix film an hour is a gigabyte, give or take, if you start watching Netflix and binge watch, I mean, no stopping binge watch started 55 million years ago in the EEOC era, you would just get through one zettabytes today, right? That’s how much zettabytes is we’re creating 30 of these fun fact in about five years, we’re going to be creating about hundred 20, just from our devices, all these little things that we’ve got connected to us and wires sticking out of us all over and sensors, we’re gonna be creating a massive amount of data. And the data we’re generating isn’t necessarily good. How many of you have this person in your CRM,

right?

So our data isn’t great. So can we deliver on better? Well, our CMOS say, No, in fact, the number of CMOS, the percentage of CMOS using marketing analytics for decision making has declined to about 35% year over year this is from cmo survey.org By the way, which if you have not tried it out, it’s a fantastic survey of what CMOS think basically the think that we’re full of crap.

Well, think about it, how much are you spending on analytics. And then to find out that two thirds of it basically is thrown o