GTM AI Podcast with Coach K and Jonathan Moss

Latest Episodes:

Revolutionizing Go-to-Market Strategies with AI-Powered Data Enrichment: Insights from Clay's Bruno Estrella Aug 13, 2024

Show notes

www.gtmaiacademy.com www.clay.com

Revolutionizing Go-to-Market Strategies with AI-Powered Data Enrichment: Insights from Clay's Head of Growth Marketing

I recently interviewed Bruno Estrella, Head of Growth Marketing at Clay, about their innovative approach to data enrichment and go-to-market strategies. Bruno explained how Clay differentiates itself from traditional data providers by offering a flexible, AI-powered platform that aggregates data from multiple sources. This approach significantly improves data coverage and allows for creative, customized research at scale.

We discussed the evolution of outbound marketing techniques and how Clay automates many time-consuming tasks, such as manual research and data entry. Bruno emphasized the importance of having a "human in the loop" to ensure data accuracy and brand consistency, despite the increasing capabilities of AI.

The conversation touched on Clay's consumption-based pricing model, which Bruno believes better aligns with customer value than traditional seat-based models. We also explored the potential impact of AI on various aspects of go-to-market strategies, including sales processes, marketing automation, and customer engagement.

Bruno shared his thoughts on the future of AI in business, expressing both excitement about its potential to streamline mundane tasks and concern about the risk of over-automation damaging AI's reputation. He predicted that the buyer's journey will evolve, with more technical and informed buyers seeking direct access to product information and demos before engaging with sales teams.

Bullet points of highlighted moments for GTM professionals:

- Clay aggregates data from 80+ providers, improving data coverage and accuracy
- AI automates qualitative research, transforming it into structured data points
- Consumption-based pricing model aligns product value with customer usage
- Importance of maintaining human oversight in AI-driven processes
- Prediction: GTM teams will focus more on systems and automations to qualify leads
- Future buyers expected to be more technically informed and ready to purchase when engaging with sales

Key Quotes from Bruno:

"Clay is different because Clay is very much it's a very flexible product. So you can, we bring, you can bring data from the typical databases that people bring."

"We actually aggregate multiple data providers. So if you want to find someone's email, let's say let's say you want to find someone's work email. And we, we try one data provider and you can see this happening."

"If you can think of what's the best case scenario, you could probably do it from an enrichment point of view. Cause like you can actually grab the data because it's very qualitative. You can actually transform qualitative information to quantitative using AI."

"We truly believe that you should pay for what you get and you should pay for consumption of the product."

"I think there's still going to be some level of qualification. There's still going to be human, but there's going to be some evolution, like with the types of questions, the types of engagements that you do on these steps before people buy."

Securing AI: How Liminal is Revolutionizing Enterprise-Wide AI Adoption Aug 06, 2024

Show notes

https://www.gtmaiacademy.com. https://www.liminal.ai/

https://www.linkedin.com/in/kevindepopas/

Securing AI: How Liminal is Revolutionizing Enterprise-Wide AI Adoption

Kevin DePopas

Head of Go-to-Market at Liminal , shares invaluable insights on the challenges and opportunities of implementing AI in large enterprises. He discusses how Liminal's innovative approach to AI security is enabling companies to harness the power of generative AI without compromising sensitive data. Kevin also offers a fresh perspective on AI adoption strategies, emphasizing the importance of user-centric deployment over ROI-focused use cases.

Liminal https://www.liminal.ai/ acts as a governance layer between AI tools and users, ensuring security and compliance. They provide solutions that manage and monitor AI systems, helping businesses maintain control and trust in their AI operations. By implementing Liminal.ai’s tools, companies can confidently use AI technologies while safeguarding data and adhering to regulatory standards.

Bullet highlights:

The rise of "shadow AI" and why firewalling access isn't the solution
Liminal's unique approach to securing generative AI in regulated industries
The shift from use case-driven to user adoption-focused AI implementation
The potential emergence and evolution of the Chief AI Officer role
Innovative ways to leverage voice recognition in AI interactions

Key Quotes from Kevin DePopas :

"Tying your generative AI deployments to hardline ROI and on a use case by use case basis, it can actually delay you quite significantly... The best way to get generative AI into the business is to start with what employees are already using."

"We're trying to shift the conversation... focus on user adoption first. There's plenty of studies out there showing if you get your users effectively using generative AI, they're going to be much more efficient."

"I rapidly see [the CISO's role] changing where the CISO is a part of a much larger kind of decision-making process... a lot of organizations are creating these centers of excellence that are a lot of different departments recommending people to be on this committee and they're making decisions as a committee."

"I think we see a lot of technologies in the near future... stop being 'AI'. It's just going to become table stakes, right? If you're n...

Next level Marketing with AI: Elaine Zelby of TOFU Jul 30, 2024

Show notes

https://www.gtmaiacademy.com. https://www.tofuhq.com/

MARKETING POWERED BY AI

I recently interviewed Elaine Zelby CoFounder and CEO of Tofu , an AI-powered marketing tool. We discussed her journey from mechanical engineering to venture capital and eventually founding her own AI company. Elaine shared insights on the challenges in marketing, particularly the proliferation of tools and the labor-intensive nature of content creation.

She explained how Tofu aims to automate top-of-funnel activities for B2B companies, leveraging AI to create personalized, omnichannel campaigns. We explored the technical aspects of Tofu, including its use of various AI models and quality evaluation frameworks. Elaine also offered advice on evaluating AI tools, emphasizing the importance of addressing specific pain points and integrating seamlessly with existing workflows.

We touched on the future of AI in marketing, particularly in imagery and video creation, and discussed the potential for more specialized B2B-focused AI models.

Bullet Points of Highlights:

- Tofu automates top-of-funnel marketing activities for B2B companies

- The tool uses a combination of AI models, selecting the best one for each task

- Elaine emphasizes the importance of workflow integration in AI tool adoption

- Future developments in AI for marketing may include better imagery and video creation

- Elaine advocates for a bottom-up approach to AI adoption in marketing teams

Key Quotes from Elaine:

1. "The big play, hence the name Tofu , it's really put the entire top of funnel on autopilot for B2B companies."

2. "We take this very seriously because quality of the outputs is what's going to get usage and retention."

3. "I think given the fact that the models are improving so quickly to where I think the winners will be, and this is also putting my investor hat back on where I think the winners are going to come from are the people who deeply nail workflow for a very specific persona."

4. "I've asked probably a hundred CMOs a question on whether they're taking a top down or bottoms up approach to AI adoption. And what I'm finding and how I would guide marketing leaders, or go to market leaders, is to do the bottoms up adoption route."

Take a listen and tell me what you think!

AI-Powered Group Learning: Revolutionizing Corporate Education with Vince Jeong of Sparkwise Jul 23, 2024

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AI-Powered Group Learning: Revolutionizing Corporate Education

www.gtmaiacademy.com www.sparkwise.co

In my latest podcast episode, I had the pleasure of interviewing Vince Jeong the CEO and Cofounder of Sparkwise . We dove deep into the future of corporate learning in the AI era. Vince shared his fascinating journey from McKinsey consultant to edtech entrepreneur, and we discussed how Sparkwise is leveraging AI to enhance group learning experiences. Our conversation covered the challenges of virtual learning, the potential risks and benefits of AI in education, and how Sparkwise is addressing the pressing need for AI adoption in corporate environments. I was impressed by Vince's insights and Sparkwise's innovative approach to learning.

Bullets of highlights for GTM professionals:

I learned that Sparkwise focuses on creating engaging, AI-enhanced group learning experiences for corporate environments
We discussed how their platform addresses key challenges in virtual learning: connection, attention, and diverse learning modalities
Vince explained how Sparkwise is helping companies tackle low AI adoption rates in the workplace through interactive group learning
We both emphasized the importance of developing critical thinking skills alongside AI usage
Our conversation explored the potential risks of over-reliance on AI in learning and skill development

Key comments from Vince that stood out to me:

1. On Sparkwise's approach to AI in learning:

"We are all about how do you use AI to turbocharge that? Versus oh, yeah, it's not possible. Let's do things. And for us, one fundamental belief we have we're in. We're in the corporate learning space. So we're teaching adults who are busy professionals and all of that. We've definitely structured our platform around human to human interaction. Our belief is that human to human interaction is necessary for people to actually want to learn and try, like hard because you have to try putting the effort to learn."

2. On the challenge of AI adoptio...

AI Agents Real Help for GTM? Or overhyped Buzz? Adam Smith of Workbounce Jul 17, 2024

Show notes

www.gtmaiacademy.com www.workbounce.com

AI Agents: The Future of Work or Just Another Buzz?

I recently had a fascinating conversation with Adam Smith CEO and Cofounder of Workbounce about the evolving landscape of AI in business. I wanted to understand his POV of how AI agents are revolutionizing workplace productivity, particularly in sales and enablement. Adam shared insights on WorkBounce's innovative approach to AI implementation, emphasizing the importance of context and human expertise in leveraging AI effectively. We also explored the broader implications of AI on work culture, decision-making, and future job markets.

Key Highlights: 1. WorkBounce's unique approach to AI agents for sales enablement 2. The concept of breaking down jobs into "units of work" for AI automation 3. The importance of providing context to AI for better outputs 4. The potential of AI to free us from screens and mundane tasks 5. The growing acceptance and demand for enterprise AI solutions 6. The challenges and opportunities for junior employees in an AI-driven workplace 7. The need for human expertise to guide and interpret AI outputs

Key Quotes from Adam:

"We don't believe... that you can really solve sales enablement as a top-down project."

"The main thing people misunderstand... is that [large language models are] really good at compressing information. They're not very good at expanding information."

"We're not even asking it to make up a good answer, we're saying, look at the sources and just tell us if there's an answer in there."

"The thing that I'm most excited about... is just the immediate short-term gain of can I get away from my screen and still do work successfully?"

"We have as human beings... a bandwidth problem, right? We can only read so many words per minute and we can only speak so many words per minute and type so many words per minute."

"If I don't have to understand every aspect of everything that I'm doing, and if I don't have to look at every single detail, this kind of feedback loop of having this kind of AI bandwidth shield around me that says, here are the important things." Loved the discussion and look forward to working with Adam and the team some more.

#22 GTM AI Podcast: How AI is Reshaping Revops with Amrutha Gujar of Structured Labs Jul 09, 2024

Show notes

https://www.gtmaiacademy.com https://www.structuredlabs.com/

In this insightful episode of the GTM AI Academy podcast, host Jonathan Kvarfordt sits down with Amrutha Gujar, co-founder and CEO of Structured Labs. They dive deep into how AI is transforming revenue operations, discussing the power of first-principle thinking in tech innovation, and exploring the future of business intelligence tools. Amrutha shares her journey from software engineering at tech giants to founding a startup that's reimagining how companies leverage data for growth.

Highlights

• The importance of unifying fragmented data sources across sales, marketing, and customer success for a holistic view of business operations

• How AI-driven tools can reduce ad hoc data requests and enable RevOps teams to focus on strategic growth opportunities

• The shift from "software as a service" to "service as software" in the AI era, emphasizing end-to-end solutions

• The potential of multimodal AI models to create more immersive and efficient user experiences in business tools

• The concept of AI augmenting human capabilities rather than replacing jobs, allowing for higher-level thinking and problem-solving

• The vision of AI-powered personal assistants handling routine tasks to free up time for high-impact work Amrutha Quotes:

• "I think that there's a really, really big opportunity with AI in the go-to-market space. Specifically, I think what it enables people to do is spend less time on manual parts of the data preparation work, and it enables people to start from the output of that data preparation work and reason about decisions that need to be made that help with growth."

• "I see a future where there are thousands upon thousands of really small, really powerful, highly value-creative teams that are leveraging these AI tools to do more with less. And the surface area of problems that we can solve as a society is going to become a lot larger."

• "The last generation was software as a service. Now, it's service as software. People's expectations of this technology are changing every day. It's more about doing the job to be done, end to end, and not just doing one piece of the job like with software."

• "I think there's like a human nature to always push to higher levels of abstraction, as the things that are at the lower levels of abstraction become more and more automated. And I think that the upper bound of how people can think about problems and the types of things they want to accomplish - that upper bound is very, very unbounded."

About Structured Labs

Focus on Revenue Operations (RevOps): Structured Labs improves revenue operations by optimizing margins and identifying high-value customers, boosting overall efficiency and profitability with AI-driven insights.
AI-Powered Business Intelligence: The company provides AI-driven tools that help unify fragmented data sources across sales, marketing, and customer success functions.
End-to-End Solution: Structured Labs aims to provide a comprehensive solution that covers the entire workflow, rather than just one piece of it. As Amrutha puts it, they're "not just BI, not just ETL, not just the Slack connection" but the entire job to be done end-to-end.
Data Unification: Their tool serves as a single pane of glass into different business functions, helping to bring together data from various sources.
Self-Service Analytics: They build better business intelligence tools that are more self-serve than existing solutions in the market, aiming to reduce ad hoc data requests and enable RevOps teams to focus on strategic growth opportunities.
AI Integration: The company uses AI at every layer of their product, from data association and column mapping to generating insights and anticipating user needs.&n...

#21 GTM AI Podcast: GTM & AI Session Prompting to get to the next level with AI with Jonathan Moss Jul 02, 2024

Show notes

https://www.gtmaiacademy.com

Jonathan Moss

I discuss the evolution of prompting from basic to advanced techniques, the importance of context and domain expertise in crafting effective prompts, and how AI can significantly streamline various GTM processes.

Key Highlights:

1. The importance of detailed, context-rich prompts for getting high-quality AI outputs.

2. The concept of "AI in the loop" rather than "human in the loop" for better results.

3. Using AI to create frameworks for creating frameworks, showcasing meta-level thinking.

4. The power of combining domain expertise with AI capabilities for superior outcomes.

5. The speed and efficiency AI brings to tasks like competitive analysis and battle card creation.

6. The potential of AI in breaking language barriers for global teams.

Helpful Insights for GTM Teams:

1. Prompt Engineering: GTM teams can significantly improve their AI outputs by providing detailed context, clear objectives, and desired output formats in their prompts.

2. Efficiency Gains: Tasks that previously took weeks or months (e.g., creating ICPs, buyer personas, competitive analyses) can now be accomplished in minutes or hours using well-crafted AI prompts.

3. Customization at Scale: AI can help create customized frameworks, strategies, and content for different markets, products, or customer segments quickly and efficiently.

4. Global Collaboration: AI's translation capabilities can help break down language barriers in global GTM teams, enabling better collaboration and consistent messaging across different regions.

5. Data-Driven Decision Making: AI can quickly analyze large amounts of data to provide insights for strategic decision-making in GTM processes.

6. Continuous Improvement: GTM teams can use AI to iteratively improve their strategies, prompts, and frameworks, leading to increasingly better outcomes over time.

7. Combining Human Expertise with AI: The most effective use of AI in GTM strategies comes from blending human domain expertise and creativity with AI's data processing and pattern recognition capabilities.

8. Time for Strategy: By automating time-consuming tasks, GTM teams can focus more on high-level strategy and execution rather than getting bogged down in research and data compilation.

By leveraging these insights, GTM teams can significantly enhance their efficiency, scalability, and effectiveness in developing and executing market strategies.

#20 GTM AI Podcast: AI's Impact on Go-to-Market Strategies and Recruitment with Joey Brodsky Jun 25, 2024

Show notes

www.gtmaiacademy.com

GTM KickBack: https://podcasts.apple.com/us/podcast/the-gtm-kickback-w-joey-brodsky/id1571248374

We did a little different podcast this time, doing a duo-interview where two podcast hosts interview each other on the same podcast! It was my pleasure and honor to have Joey Brodsky of The GTM Kickback! podcast and the Head of GTM Search for Stott and May join me to talk about AI and recruiting. What struck me most during our discussion was the delicate balance we're all trying to strike between leveraging AI's capabilities and maintaining the crucial human elements in our work. Joey shared fascinating insights into how AI is reshaping the recruitment landscape, allowing for more nuanced candidate searches and potentially changing the way we conduct interviews.

However, he emphasized - and I wholeheartedly agree - that we can't lose sight of the human intuition and 'gut feelings' that often lead to the best hires. We also explored the evolving role of enablement, a topic close to my heart. It was enlightening to hear Joey's perspective on how AI is elevating the importance of enablement roles, especially in early-stage companies. We both see a future where enablement professionals become key strategists, overseeing AI systems that provide real-time coaching and feedback to sales teams.

One of the most valuable takeaways from our chat was the importance of critical thinking and creativity when using AI tools. As I often tell my listeners, AI is a powerful tool, but it's our human ability to critically evaluate and creatively apply its outputs that will truly drive innovation and success. We touched on some practical advice for startups too, discussing the importance of documenting founder knowledge, setting realistic expectations for new sales hires, and identifying what 'good' looks like in your organization. These are crucial steps that can make or break a young company's go-to-market efforts.

Throughout our conversation, a common theme emerged: AI has the potential to greatly enhance our work, but only if we use it wisely. It should complement and augment our human skills, not replace them. As we wrapped up, Joey and I both expressed excitement about the future, where AI and human expertise combine to create more effective, efficient, and personalized go-to-market strategies.

Key Quotes from Joey:

"I think from a recruitment perspective and trying to source and court these people on a daily basis, how people are found and the skills that people are looking for, strictly from a search standpoint... it's much more nuanced because it can be nuanced at a larger scale by using AI."

"People that can be hyper scientific in the way that they sell... it's an exponential curve that is like very close to being straight upwards and downwards right now, because of AI."

"I think bringing in someone like yourself on an advisory capacity is, is really, really exceptionally important and probably not prolific enough to use that word again, right? Um, that would have a big impact on just getting people conceptually to understand why this sort of program is important and why they should do it earlier than not, instead of waiting for a mess to happen and being reactive in it."

"It needs to be an enhancement of the human experience and all these people are going through, whether it's recruitment, whether it's direct sales, whether it's sales enablement or some sort of data analysis." Tell me what you think of the episode, I highly enjoyed it!

#19 GTM AI Podcast: Leveraging AI for Revenue Intelligence: Insights from Burak Aksar, Co-Founder of Spiky Jun 18, 2024

Show notes

www.gtmaiacademy.com

https://spiky.ai/

Leveraging AI for Revenue Intelligence: Insights from Burak Aksar, Co-Founder of Spiky

Summary:

In this episode of the GTM AI podcast, host Jonathan welcomes Burak Aksar, co-founder and software engineer at Spiky, an AI-powered revenue intelligence platform. Burak shares his journey from a technical background in machine learning to the world of go-to-market and sales. He discusses how Spiky leverages AI to analyze customer conversations, measure non-conversational metrics, and provide actionable insights to help teams optimize their revenue processes. Burak also shares his thoughts on the current state of AI in business and what he's excited about for the future.

Highlighted Concepts:

- Revenue intelligence: Analyzing data from various sources (sales, customer success, support, product, engineering) to optimize revenue processes

- Non-conversational metrics: Measuring up to 60 different metrics per second, including vocal, visual, and contextual data, to provide insights beyond just transcripts

- Actionable insights: Identifying trends across customer conversations and tying them to revenue outcomes

- AI stack: Utilizing a combination of proprietary models, open-source, and closed-source APIs to power the Spiky platform

- Explainable AI: The importance of making AI models transparent, scalable, and ethically sound

Quotes from Burak:

- "The revenue domain is already very complicated, and I think no one has figured out yet, including us, what are some winning behaviors and how do I basically apply this at scale?"

- "If you don't understand, I don't think you can optimize any process. It can't, it doesn't need to be revenue, but the things that I'm like really excited, if I flip the page a bit, I think, like we've been expecting this, but the large language models are becoming a commodity."

- "I think making these ethically, like ethically, successful is a very big challenge because let me make an analogy here. Even explaining one decision tree or random forest, it's super hard. Like it doesn't make sense to humans."

Why this matters to GTM professionals:

This podcast episode provides valuable insights for GTM professionals looking to leverage AI to optimize their revenue processes. Burak's expertise in both machine learning and go-to-market strategies offers a unique perspective on how AI can be used to analyze customer conversations, identify trends, and provide actionable insights. By understanding the potential of AI-powered revenue intelligence platforms like Spiky, GTM professionals ca...

#18 GTM AI Podcast: How AI enhances workflow and documentation with Yuval Karmi of Glitter.io Jun 11, 2024

Show notes

www.gtmaiacademy.com

www.glitter.io

Unveiling Glitter AI with Yuval Karmi: Streamlining Documentation in Tech

Join Coach K in another exciting episode of the GTM AI podcast as he interviews Yuval Karmi, the founder of Glitter.io. Discover how Yuval's innovative AI tool is revolutionizing the way we create step-by-step guides and documentation. Learn about his journey from founding and selling his first startup, Simpo, to developing Glitter AI. Yuval also shares valuable insights into AI workflows, automation, and the future of AI in business.

This episode is a treasure trove for entrepreneurs, tech enthusiasts, and anyone interested in the intersection of AI and productivity.

00:00 Introduction and Guest Welcome

00:39 Yuval Karmi's Entrepreneurial Journey

02:15 The Story Behind Glitter.io

03:31 How Glitter AI Works

04:26 Challenges and Benefits of Documentation

05:18 Team and Workflow Insights

06:06 Comparing Glitter AI with Other Tools

11:01 Automation and AI in Business

16:17 Future of AI and Business Integration

22:18 Personal Reflections and Closing Remarks