Signals Podcast Network

Sarah Tamilarasan, Co-Founder and CEO at Sotaog, discusses the industrial blind spots that AI illuminates. This speaker from the AI Revenue Summit breaks how industrial companies can start implementing AI to generate Revenue. To stay current on our latest events, follow us on Linkedin. 

Useful Timestamps: 

2:05 - Example of how AI can be utilized in industrial spaces

3:47 - Manual tickets get lost

4:24 - Mix-up on monthly payment document due to loss of manual tickets

5:50 - Clients can upload images of tickets to track transactions

7:02 - 3%-7% of tickets don't show up on monthly payment slip

9:19 - Aggregate the data

10:18 - Numerous examples of how AI can increase cash flow for companies

13:01 - Closing Remarks

Maria West, VP of Marketing at VIB, and Katie Dematteis, Co-Founder of Amateurish Production, recognize that there is so much that AI can do when going from creation to conversion with marketing content. To stay current on our latest events, follow us on Linkedin. 

Useful Timestamps: 

2:49 - Surveyed customers on marketing trends

3:24 - Definition of generative AI 

4:23 - Statistics on adoption of AI

5:52 - How do you see AI generated ideation or content fitting into your larger strategy moving forward? 

9:30 - Results from survey

10:29 - How do individuals see themselves self-applying AI into different areas of their marketing strategy? 

13:20 - Content personalization has the next best potential, after creation.

15:51 - What are some advantages or disadvantages of using generative AI content for both production and distribution? 

17:43 - Biggest concerns implementing generative AI

21: 38 - What are some ideas that you have for how to distribute or syndicate AI generated content?

26:38 - How do you think businesses can use AI to improve their lead generation?

30:53 - Concluding Remarks

Daniel Englebretson, Chief Customer Officer at Khronos, . This speaker from the AI Revenue Summit breaks out what AI is and how it can be used efficiently. To stay current on our latest events, follow us on Linkedin. 

Useful Timestamps: 

2:29 - How is AI currently transforming the business landscape?

3:41 - Reading Recommendation: Competing in the Age of AI by Marco Iansiti and Karim R. Lakhani 

3:57 - What are the opportunities and threats?

6:21 - Reading Recommendation: The Technology Fallacy by Garth R. Andrus, Gerald C. Kane, Jonathan R. Copulsky, Anh Nguyen Phillips

6:28 - Risks associated to your business 

9:49 - Reading Recommendation: AI Superpowers by Kai-Fu Lee

9:54 - What is generative AI and how does it work? 

12:32 - Overlapping Opportunity

16:01 - What Generative AI Isn't 

20:51 - AI has the potential to disrupt traditional job roles - what are ways to position them as improvements for the workforce? 

23:34 - Ted Talk Reference: Bloom's 2 Sigma Problem

25:04 - Digital skills half-life

27:41 - Fear of loss jobs 

28:57 - Reading Recommendation: Just Calm Down about GPT-4 Already

29:12 - Workforce of the Future graphic

30:50 - Reading Recommendation: AI is a lot of work

31:00 - How can businesses strike the right balance between automation and human decision-making to achieve optimal outcomes? 

34:00 - AI Prompt Engineering isn't the Future

34:11 - What are the risks, moral, and legal considerations?

34:29 - Podcast Recommendation: The Ezra Klein Show featuring Alondra Nelson

37:57 - Painting the Picture: Risks

40:28 - The only bad way to react to AI is to pretend it doesn't change anything

41:15 - Reading Recommendation: On Holding back the Strange AI Tide. 

41:47 - Closing Remarks

Matt Heinz, Founder & President of Heinz Marketing, brings key insight to marketing for the future. This speaker from the AI Revenue Summit breaks out 12 key points that are underway in changing how marketing is executed for the future. To stay current on our latest events, follow us on LinkedIn. 

Useful Timestamps:

0:51 - What is marketing going to look like in 2-3 years?

4:34 - 1) Prioritize owned vs. rented land, meaning, leverage your opportunities

6:32 - 2) Data is more important than Demand

8:09 - 3) Ecosystems & relationships are currency

9:22 - 4) Demand and brand are better balanced

11:38 - 5) Buying committees are way more complicated

13:37 - 6) Omni is everything

15:27 - 7) Humans and machines learn to co-exist

17:41 - 8) Sales Enablement > Demand Generation

20:11 - 9) Centers of excellence are table stakes

22:24 - 10) New roles that don't exist today

24:50 - 11) The customer journey is a loop (not a line)

26:15 - 12) Fundamentals matter more than ever before

28:39 - Concluding Remarks

Will Aitken, Sales Content at Lavender, recognize that there are upsides and downsides to utilizing AI. This speaker from the AI Revenue Summit discusses the uses and misuses of generative AI and how to navigate the issues that surround the topic. To stay current on our latest events, follow us on Linkedin. 

Useful Timestamps: 

0:23 - Big issue with sending AI generated cold emails

0:47 - Free detection tool to see if something has been written by AI

1:25 - Why does it matter if an AI tool can detect whether or not my email was written by AI?

2:01 - Platforms are using AI to detect phishing attempts

2:29 - Humans notice themes and patterns. Able to detect AI

3:04 - Buyers get lots of practice detecting AI in cold emails

3:51 - Scaling quantity at the expense of quality burns bridges

4:09 - Human is the most important element in sales

4:48 - To be a good seller not being replaced by AI, be thoughtful

4:55 - Concluding Remarks

7Matt Millen, Co-founder and president at Regie.ai, and Billy Bateman, Co-founder and VP of Operations at Signals, recognize four specific reasons companies should utilize AI in their work environment. These speakers from the AI Revenue Summit discuss the necessary needs of AI prompt engineers, workflow, sales output, and monitored dashboard activity to help your company grow. To stay current on our latest events, follow us on Linkedin. 

Useful Timestamps: 

2:53 - We were doing AI before AI was cool

5:40 - What are the best ways sales teams should be using AI?

6:40 - You don't have to prompt engineer when using Regie.ai

6:58 - Regie intuitively knows the workflow you're in 

7:27 - Sales ready output

8:02 - Dashboard of rep activity

8:16 - Use vertically oriented AI instead of horizontally oriented AI 

9:03 - Example of how Regie.ai works in real time

19:39 - How do you set your team up for success with a Regie.ai specific tool? 

25:46 - What challenge do businesses typically face when trying to integrate an AI tool? How can they overcome them? 

28:06 - Closing Remarks

Ryan Staley, the founder and CEO of WhaleBoss, recognizes that there is much to understand regarding AI. This speaker from the AI Revenue Summit breaks out his insights into AI by unlocking The Multiplier Method. To stay current on our latest events, follow us on Linkedin. 

Useful Timestamps: 

1:31 - Why now? The risk vs the opportunity

3:21 - Fear or Faith? 

4:21 - AI can turn C players into B players, B players into A players, and A players into A+ players

5:50 - What's possible? More about ChatGPT

8:54 - Where to start. AI generated tools

11:35 - Master prompt Method: context, frameworks, level, size, structure

13:13 - AI Multiplier Method: Time, Execution, Acumen, Money, Skills

14:19 - Time: Marketing Magic in 15 minutes

17:41 - Execution: Build a Sales Org. in 20 minutes

22:42 - Acumen: How good is a machine?

24:11 - Money: Understand LLM core concepts vs. purchase

26:19 - Skills using AI: graphics, voice/music, video 

27:26 - The Future: automated outcomes, autonomous organizations 

29:49 - Closing Remarks

Ryan Villancourt, VP or Sales at Revenue.io, and Maria Bross, Director of Performance Consulting at Revenue.io, converse about the three win rate obstacles they see that can be solved utilizing AI. These speakers from the AI Revenue Summit discuss how these win rates will help increase revenue by implementing AI. To stay current on our latest events, follow us on Linkedin. 

Useful Timestamps: 

0:47 - Buyers don't want to talk to sellers

2:06 - What do buyers value? Active listening, problem solving, confidence, and relationship building

4:31 - AI conversation summaries

7:31 - AI recap emails

11:20 - Real time conversation cues

12:41 - Concluding Remarks

Katie Penner, Head of Sales Development & Strategy Enablement at Sendoso, brings up key points on how to create personalization through AI generated messaging. This speaker from the AI Revenue Summit breaks out predictive analytics, customization of orders, and explores AI tools that will help customers become more efficient. To stay current on our latest events, follow us on LinkedIn. 

Useful Timestamps:

1:26 - What is Sendoso? 

2:11 - Agenda of Presentation

3:44 - The future of AI and how it will affect sales organizations

3:57 - Create more efficiency, not replacements 

4:24 - What does it say about the quality of our work if AI is replacing us?

4:55 - Resource: Study by Gartner 

6:01 - Personalization influences buyer behavior

6:23 - Resource: Mackenzie Study

6:54 - Lavendar is an email assistant tool

7:25 - Examples of insights that Lavender provides

9:04 - Baird AI is similar to Chat GPT. Provides detailed information about prospects and their companies

9:48 - Examples of insights that Baird AI provides

10:31 - Gong records sales calls and provides insights to uncover risks and winning behaviors

11:16 - 6sense tracks buyer journey to understand interests. This allows more catering to the buyer experience. 

13:34 - Diving into the future of AI at Sendoso

15:32 - What is an OP Stack? 

18:16 - Optimization

20:33 - Takeaways: How is AI currently being leveraged? How can AI can be leveraged for the future? 

21:01 - Concluding Remarks

Dave Elkington, the founder of Inside Sales, and Pete Ketchum, CMO at Signals, recognize that there is much to discuss regarding AI. This Keynote from the AI Revenue Summit breaks out what AI is, what to watch out for, and how your companies can start implementing AI to generate Revenue. To stay current on our latest events, follow us on Linkedin. 

Useful Timestamps: 

2:23 - What’s the definition of Generative AI? 

6:01 - What is the key role of Sales and Marketers in the Market? 

7:13 - Why have we hit such an AI Revolution over the past 8-10 months?

12:13 - We all know how big AI is; how big is it? 

15:15 - Disruption of AI

17:28 - What does AI mean for the B2B space? What are the misconceptions? 

21:40 - Process of Using AI to run analysis on data

23:31 - How to get started with an AI Strategy Plan

26:20 - Experimentation that companies should be doing right now

28:50 - Example 1: How a secretary increased productivity with AI

30:59 - Example 2: How an Investment Partner saved dozens of hours with AI

33:00 - How to scale AI Technologies appropriately

35:50 - How to Leverage AI to Generate Revenue

38:10 - How Signals is using Generative AI to track visitor behaviors and predict the likelihood of that visitor becoming an MQL or SQL

39:10 - Ways to use AI: Content Generation

40:18 - Ways to use AI: Generate a Marketing Video

44:08 - Advice for Start-Up and Bootstrap Companies

46:18 - How will AI impact my current job and role?

49:0 - Advice for those who are unfamiliar with AI or don't be too early of an adopter: What methods can they use to validate some decisions and implement the product

52:00 - Concluding remarks