I am excited to have Ronan Chambers is the co-founder of etn., a technology show built for Europe. Previously, he was a founding team member at Convergence, which was acquired by Salesforce, where he worked on Agentforce.

In this conversation, Ronan Chambers, co-founder of ETN, discusses his journey from tech startups to creating a technology show for Europe. He explores the European startup ecosystem, misconceptions, emerging tech hubs, and the future of media in venture capital. Ronan shares insights on building an audience, sponsorship strategies, and the importance of leadership in startups.

Timestamps

00:00 Introduction to Ronan Chambers and ETN

01:12 Ronan's Journey into Tech Startups

02:53 Leaving Salesforce for ETN

04:42 Inspiration from US Media and the Need for European Coverage

06:52 The State of the European Startup Ecosystem

10:38 Misconceptions About European Startups

13:04 Underrated Tech Hubs in Europe

14:37 The Future of Media in Venture Capital

16:57 Advice for New Product Builders

19:04 Balancing Audience Building and Product Development

22:13 Reaching Out to Sponsors

25:25 Creating Content for Diverse European Audiences

27:04 Changing Mindsets in European Founders

29:30 Lessons from Convergence and Salesforce

32:22 Overcoming Fear in Podcasting

34:16 Highlighting Emerging European Founders

36:40 Future Goals for ETN

Ronan's Links

LDN/ X – https://www.linkedin.com/in/ronan-chambers-189118196/

X - https://x.com/ronanchamberss

Website – https://www.etnshow.co/

My Links

Podcast: https://lifeselfmastery.com/itunes

Newsletter: https://partner-grow.beehiiv.com/subscribe

YouTube: youtube.com/lifeselfmastery

Twitter: https://twitter.com/rohitmal

LinkedIn: https://www.linkedin.com/in/rohit857/

I am thrilled to have Akshat Mandloi, the co-founder of Smallest.ai, a voice AI startup recently named among Inc42's "30 Startups to Watch" for 2025. A former senior data scientist at Bosch and IIT Guwahati alum, he's building hyper-realistic voice agents that support 30+ languages with ultra-low latency for enterprises worldwide.

In this conversation, Akshat Mandloi, co-founder of Smallest AI, discusses his journey from working at Bosch to starting his own company, the challenges of operating in different markets, and the intricacies of developing voice AI technology. Akshat shares insights on language prioritization, the competitive landscape, and what it means to create enterprise-ready solutions. The conversation also touches on funding, building a strong company culture, hiring practices, and the future of voice AI technology.

Timestamps

00:00 The Journey to Smallest AI

02:11 Navigating Operational Challenges

05:12 Language Prioritization in Voice AI

06:57 Building a Competitive Edge in Voice AI

10:15 The Build vs. Buy Debate

12:11 Funding and Investor Insights

14:11 Cultivating a High-Ownership Culture

16:21 Designing for User Needs

18:17 Remote Work vs. In-Person Collaboration

19:11 The Future of Voice AI

21:07 Speed as a Competitive Advantage

22:57 Advice for Aspiring Entrepreneurs

25:01 Vision for the Future

Akshat's Links

LDN/ X – https://www.linkedin.com/in/akshat-2503/

Website - https://smallest.ai/

My Links

Podcast: https://lifeselfmastery.com/itunes

Newsletter: https://partner-grow.beehiiv.com/subscribe

YouTube: youtube.com/lifeselfmastery

Twitter: https://twitter.com/rohitmal

LinkedIn: https://www.linkedin.com/in/rohit857/

I am excited to have Bani K Maini: an AI product leader who transforms complex enterprise operations into scalable solutions that actually get adopted. From cutting forecasting errors by 74% to scaling platforms across 600+ sites in seven countries, she's built AI products for Fortune 500 companies - and conducted 70+ executive interviews at Stanford on how GenAI is reshaping enterprises.

In this conversation, Bani Maini, an AI product leader, shares her journey from early exposure to technology in Japan to her current role in transforming enterprise operations through AI. She discusses the challenges of AI adoption across different cultures and regions, emphasizing the importance of understanding local nuances. Bani highlights the non-obvious challenges in rolling out AI products, such as process variance and data issues, and stresses the need for a clear problem-solving approach. She also differentiates between traditional machine learning and generative AI, providing insights into their respective applications.

Timestamps

03:22 Understanding Enterprise AI Adoption Challenges

06:22 Cultural and Regional Differences in AI Adoption

09:18 Non-Obvious Challenges in AI Rollout

11:58 Navigating Inflection Points in AI Integration

15:11 Misconceptions About Generative AI in Enterprises

18:19 Identifying AI Use Cases and Metrics for Success

21:06 Traditional ML vs. Generative AI: Decision Framework

24:19 Generative AI in Supply Chain Optimization

27:18 Turning Unstructured Data into Actionable Intelligence

30:05 Organizational Structure for Global AI Teams

33:25 Driving User Adoption Across Cultures

36:13 Shifts in Enterprise AI Thinking

39:22 Reflections on Scaling AI Products

42:14 Final Thoughts and Resources

Bani's Links

LDN/ X – https://www.linkedin.com/in/bani-k-maini-210b5b48/

My Links

Podcast: https://lifeselfmastery.com/itunes

Newsletter: https://partner-grow.beehiiv.com/subscribe

YouTube: youtube.com/lifeselfmastery

Twitter: https://twitter.com/rohitmal

LinkedIn: https://www.linkedin.com/in/rohit857/