• 00:00 – Introduction to Dr. Ala Santos
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• 00:27 – Her journey from Poland to global health innovation
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• 01:12 – Transitioning from academia to real-world impact
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• 02:30 – Patients as the driving force behind innovation
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• 03:38 – AI in science: a tool for expansion, not replacement
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• 06:00 – How AI is reshaping the scientist’s daily workflow
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• 08:00 – Risks of relying on flawed AI outputs
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• 09:50 – Navigating the quality of data fed into AI
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• 11:00 – Importance of skepticism in the AI era
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• 12:30 – Moving from in vitro to in silico experimentation
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• 13:32 – Data privacy and IP concerns in healthcare AI
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• 16:00 – AI’s potential to enhance global collaboration
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• 18:00 – How AI could attract new minds to science
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• 21:14 – Bridging the gap between academia and industry
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• 22:03 – Advice: prioritize human networks in a tech-driven world
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• 23:27 – Closing thoughts and gratitude
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00:00 – Meet Daniel White, serial environmental entrepreneur and founder of Gentian and Signal.

00:30 – Daniel shares how childhood birdwatching led to a lifelong passion for nature and ecology.

02:30 – Discussing early innovations like insulating buildings via abseiling and promoting green roofs.

04:00 – Using behavioral science to reduce household energy use through randomized trials.

05:00 – How nudging pilots led to $6M in fuel savings and lower CO₂ emissions for Virgin Atlantic.

07:00 – Building Signal to help pilots and shipping crews become more fuel efficient with data.

09:00 – Introducing Gentian: using AI and satellite imagery to map and monitor biodiversity.

12:30 – Why private sector stakeholders must care about pollination, crop yield, and nature loss.

14:00 – Exploring global legislation pushing biodiversity efforts across industries.

16:00 – Daniel shares entrepreneurial lessons: grit, creativity, and staying grounded.

19:00 – AI is not just helpful—it’s essential for solving the biodiversity crisis at scale.

23:00 – Using data-driven nudges and gamification to encourage eco-friendly decision making.

26:00 – Future outlook: tighter regulations, better satellite tech, and a purpose-driven workforce.

28:30 – Final reflections on hope, collaboration, and building solutions that matter.

In this episode, we sit down with Alon Bochman, a seasoned AI leader and founder of RagMetrics, whose career spans leadership roles at Google, Microsoft, FactSet, and a successful startup exit to Thomson Reuters. Alon breaks down the urgent gaps in AI testing today, why bilateral evaluation between humans and AI is the future, and shares a chilling real-world example of autonomous agents evolving faster than expected.

We dive into why true AGI might be forever elusive (because we keep redefining it), the moral and economic need for universal basic income, and why today's "chatbot phase" is just the first flicker of a much larger AI revolution—akin to the dawn of electricity.

A must-listen for anyone thinking seriously about building with AI, investing in AI, or simply understanding where this tech tidal wave is headed.

• 00:00 – Introduction to Alon Bochman: Ex-Google, Ex-Microsoft, now Founder of RagMetrics
• 00:50 – Journey from fintech to leading AI teams at major tech giants
• 01:50 – The problem no one talks about: Why AI apps often skip real testing
• 03:50 – The three bad choices in AI evaluation today
• 06:12 – How bilateral feedback loops improve AI testing and model reliability
• 08:18 – Human bias in feedback: Lessons learned from FactSet tech support automation
• 13:43 – The importance of read/write knowledge bases to adapt with change
• 15:43 – RagMetrics’ mission: Making AI evaluation scalable and less painful
• 16:08 – Redefining AGI: Why we move the goalposts every time computers get better
• 21:10 – AI’s impact on jobs: Why universal income may become a necessity
• 25:29 – The electricity analogy: How AI will transform industries like a silent revolution
• 27:54 – The scariest AI demo Alon ever saw: Agents that build their own tools
• 32:36 – Using AI personally: Learning, demo generation, and accelerating workflows
• 34:49 – Final advice to entrepreneurs: Just start, but test before you ship

• “If you're not testing your AI today, you're building a bridge without running trucks over it.”
• “AI will never reach AGI—because AGI keeps getting redefined.”
• “Progress is unstoppable. The only question is whether you're the Roomba—or the person programming it.”
• “Testing is the bridge from hobby projects to real-world value.”
• “The scariest thing I saw? An agent learning to create its own tools in 25 lines of code.”

• Alon Bochman on LinkedIn
• RagMetrics Website
• Taran Agarwal on LinkedIn
• Simplify Tech Website

00:00:00 - Introduction to Michael Beda and his background in wealth management and private equity

00:01:42 - Michael shares his career journey from the 2008 financial crisis to working in China

00:03:18 - Discussion of his work with Cathay Capital and transition to Hua Sha Finance

00:04:30 - Michael's experience founding Adoro Capital Management during the pandemic

00:05:44 - Overview of his current role at Eden Global Capital focusing on traditional industries

00:07:38 - Discussion on AI's role in risk management and due diligence in investment vehicles

00:09:54 - Michael's experience developing China's social credit system and rapid scaling

00:11:28 - Michael's perspective on AI as a tool that elevates human roles rather than threatens jobs

00:13:30 - The story of how an analyst using ChatGPT changed Michael's perspective on AI

00:15:50 - Discussion of job evolution and the importance of adapting to new technologies

00:17:14 - Johnny shares his personal experience with AI at Blackrock

00:20:05 - Michael's view on which industries will be most significantly transformed by AI

00:23:57 - How Michael personally uses AI and advice for entrepreneurs in the AI space

00:26:28 - Michael's final advice for entrepreneurs on market validation and product development

00:28:52 - Conclusion and wrap-up

00:00:00 - Introduction to Mike Wittgenstein and his background

00:01:05 - Mike shares his journey from starting a business at 13 to founding Story Miners

00:03:43 - Discussion of how Mike helps executives with their plans in times of unpredictable change

00:06:56 - Mike's perspective on AI as a tool wielded by humans, not something that changes business by itself

00:08:08 - Why Mike believes AI is neither "artificial" nor "intelligent" but a way to shape information

00:09:14 - How Mike has revamped his offerings with AI and shows up differently for clients

00:11:35 - The Avatar analogy: How creating comprehensive "story worlds" helps align stakeholders

00:14:40 - Discussion on putting humanity into AI interactions and shifting from scarcity to abundance

00:19:56 - Mike's view on abundance economics in an AI-powered world

00:23:04 - Why we should focus on integration rather than disruption

00:26:00 - The concept of "intellectual advantage" and how AI differs from the dot-com bubble

00:30:30 - How Mike personally uses AI in creative and practical ways

0:00 Introduction to Robert Rubinstein

0:15 The financial sector's "alpha male" mentality

0:30 ESG as a "fitness club membership card"

0:45 Why greenwashing remains prevalent

1:00 AI-powered matchmaking for sustainable investors

1:15 Why entrepreneurs shouldn't take external money

1:30 Final advice on following your purpose

In this episode, we’re joined by Deepak Bhootra, a seasoned sales strategist, ICF & Sandler-certified coach, bestselling author, and the founder of Jabulani Consulting. With over 30 years of experience leading sales operations at HP, Sun Microsystems, and Capgemini, Deepak now helps entrepreneurs and sales teams scale smarter using AI-powered strategies.

We unpack what it takes to build sales careers that last, how AI enhances rather than replaces human connection, and why it’s no longer enough to just “hustle harder.” From managing burnout to leveraging conversational AI for real-time coaching, this episode is a must-listen for anyone navigating the evolving world of sales.

• 00:00 – Introduction to Deepak Bhootra and his global sales leadership journey
• 01:21 – Leaving the corporate world to launch Jabulani Consulting after COVID’s wake-up call
• 03:03 – Redefining success in sales: purpose, longevity, and fighting burnout
• 07:59 – Why 70% of salespeople are stressed and how to build a sustainable career
• 13:05 – Augmented, not artificial: AI’s role in freeing reps from low-value work
• 15:14 – The power of AI in surfacing insights from thousands of customer interactions
• 17:39 – Real-time coaching, hyper-personalization, and objection handling with AI
• 21:48 – What separates top sales performers in the age of AI
• 24:30 – Deepak’s go-to slogans about AI and sales (“AI doesn’t replace reps, it replaces inefficiency”)
• 30:59 – Guardrails, hallucinations & the danger of lazy AI prompting in sales workflows
• 40:49 – Final advice for entrepreneurs: solve inefficiencies first, then layer in AI tools

• “AI doesn’t replace salespeople. It replaces inefficiency.”
• “You won’t lose your job to AI—you’ll lose it by not using AI.”
• “Sales longevity is about building habits that help you thrive, not just survive.”
• “Stop thinking of AI as artificial intelligence. It’s augmented intelligence.”

• Deepak Bhootra on LinkedIn
• Jabulani Consulting Website
• Taran Agarwal on LinkedIn
• Simplify Tech Website

In this episode, we sit down with Meifan Shi, Co-Managing Partner at Waterpoint Lane and a seasoned investor and board leader with experience at Amazon Web Services, T-Mobile, and BlackBerry. Meifan shares her remarkable journey from tech engineering to building AWS’s private equity platform and ultimately launching her venture fund focused on agri-food tech and sustainability.

We discuss the practical ways AI is revolutionizing farming—from predictive analytics in weather-related risk management to genomics and livestock health monitoring. Meifan also tackles tough topics like AI’s potential to widen economic gaps, misinformation risks, and the vital importance of diversity in AI development.

Whether you're interested in venture investing, sustainable tech, or AI’s role in shaping future economies, this episode offers practical insights and thoughtful discussion.

• 00:00 – Intro to Meifan Shi: From engineer at BlackBerry to co-founder at Waterpoint Lane
• 01:51 – Transitioning from Silicon Valley tech to NYC venture capital and private equity at AWS
• 03:14 – Launching Waterpoint Lane: Investing in late seed-stage agri-food tech startups
• 04:38 – How AI is transforming agriculture, data analytics, and farm management
• 09:14 – Practical AI use case: Predicting crop yields and managing weather-related risks
• 11:23 – AI innovations in livestock farming and disease detection
• 13:04 – Ethical concerns: AI’s impact on small farms, misinformation, privacy, and bias
• 17:10 – AI in private equity: Streamlining due diligence, identifying trends, and assessing risks
• 21:37 – Will AI displace jobs or enhance human roles? Industries at risk and new opportunities
• 26:53 – Lessons from the dot-com bubble: Is AI facing a similar hype cycle?
• 30:33 – Personal use of AI: Learning French, health monitoring, and productivity
• 33:20 – AI in education: Enhancing or weakening critical thinking and problem-solving skills?
• 37:10 – Advice for entrepreneurs: How to effectively integrate AI into business strategies
• 41:27 – The importance of diversity in AI and business for innovation and decision-making

• “AI is not just robots in movies—it's data analytics transforming everyday decisions.” – Meifan Shi
• “The real power of AI in investing is improving accuracy, speed, and risk management in due diligence.”
• “If you're chasing trends without clear purpose, you'll never succeed with AI.” – Meifan Shi

• Meifan Shi on LinkedIn
• Waterpoint Lane Website
• Taran Agarwal on LinkedIn
• Simplify Tech Website