The Pulse of AI

Jason Stoughton

Real conversations with the founders, CEO's, AI pioneers and experts who are building the future of AI today.

  1. Mastering Agentic AI: Governance, Trust, and Enterprise Success with Barndoor AI CEO and Founder Oren Michels

    Apr 29

    Mastering Agentic AI: Governance, Trust, and Enterprise Success with Barndoor AI CEO and Founder Oren Michels

    New Pulse of AI Podcast! Season 8, Episode 165! In this insightful interview, Oren Michels from BarnDoor AI joins The Pulse of AI Host Jason Stoughton and  discusses the evolving landscape of agentic AI, governance, trust, and how enterprises can navigate the challenges and opportunities of AI adoption. Discover practical strategies for implementing AI safely and effectively in your organization. Chapters 00:13 Oren Michels' Background and Journey into AI 05:05 The Genesis of Barn Door AI and Its Mission 13:08 The Tension Between Innovation and Security in AI 21:01 Overcaution of CISOs and Managing AI Risks 29:30 How Companies Implement AI Governance and Control 36:05 The Culture and Philosophy of Barn Door AI 38:36 Advice for CISOs and Enterprise Leaders on AI 40:43 Upcoming Product Launch and Final Thoughts Oren Bio: Oren is an entrepreneur, investor, board member, and advisor to technology startups in the US and Europe. He's co-founder and CEO of Barndoor AI, the control plane for agentic AI in the enterprise. He co-founded Mashery in 2006 and served as CEO until Intel acquired the company in 2013. Oren is also a Tony-nominated Broadway and Off-Broadway producer whose credits include Romeo+Juliet and Good Night and Good Luck, starring George Cloney. His angel investments include Uber, Pebble Post, and eero.   About Barndoor Founded in 2024, Barndoor.ai is the AI governance platform built for the agentic enterprise. Barndoor.ai's centralized control plane gives IT and security teams the visibility and fine-grained access control they need to govern AI agents across every tool, team, and platform. Venn.ai provides knowledge workers secure, governed access to agentic AI across the workplace apps they already use. Together, Barndoor.ai and Venn.ai address the AI governance gap from both the enterprise end, as well as individual empowerment. Learn more at Barndoor.ai and Venn.ai.

    42 min
  2. From Self-Driving Cars to Climate Solutions: Interview with Tom Chi

    Feb 2

    From Self-Driving Cars to Climate Solutions: Interview with Tom Chi

    New Pulse of AI Podcast! Season 7; Episode 164 Tom Chi joins Pulse of AI Podcast Host Jason Stoughton to talk about his new book, his investment thesis at his deep tech venture firm At One Ventures as well as his time at Google X leading the teams that created autonomous cars, wearable augment reality and deep learning. As a renowned physicist/innovator turned venture capitalist, Tom was a founding member of GoogleX where so many of the recent groundbreaking discoveries in AI were developed. One day while snorkeling at a reef near his home in Hawaii he realized that the reef was dying and had an epiphany that he should take his expertise and insights and focus on investing in deep-tech startups and catalyze a world where humanity is a net positive to nature.  His new book is Climate Capital: Investing in the Tools for a Regenerative Future.   Takeaways Tom Chi's career spans astrophysics, tech, and environmentalism. A personal tragedy catalyzed Chi's focus on environmental issues. Economic and ecological goals can align for better business practices. Investing in regenerative technologies is crucial for a sustainable future. AI can play a significant role in improving environmental outcomes. The future workforce will need skills like critical thinking and creativity. Local actions can lead to global change in environmental efforts. Building community and relationships is essential for tackling big challenges. The narrative around environmentalism often emphasizes sacrifice, but innovation can lead to profit. The future will be built by those who take action, not just talk about it. Chapters 00:00 Introduction and Background 00:04 Career Phases: From Astrophysics to Tech 03:06 Transition to Environmentalism: A Personal Journey 09:11 The Role of Economics in Environmental Solutions 17:57 AI's Impact on Climate and Industry 24:08 The Future of AI and Environmental Sustainability 30:54 Algorithmic Challenges in AI Development 36:36 The Environmental Impact of AI 41:34 Navigating the Future Job Market 53:40 Building Local Solutions for Global Problems

    1h 2m
  3. The Rise of the Super Worker in the Age of AI with Josh Bersin

    11/18/2025

    The Rise of the Super Worker in the Age of AI with Josh Bersin

    New Pulse of AI Podcast! Season 7, Episode 163 Summary In this conversation, Pulse of AI Podcast Host Jason Stoughton and Josh Bersin explore the transformative impact of AI on the workplace, discussing the evolution of AI technologies, the concept of the 'super worker', and the critical role of HR in integrating AI into organizational structures. They emphasize the need for a culture of innovation and trust, as well as the importance of redefining job roles and workflows to adapt to the rapid changes brought about by AI. The discussion also highlights the potential for AI to enhance employee engagement and productivity, ultimately leading to a more dynamic and effective workforce. Takeaways AI is fundamentally changing the way we work. The concept of the 'super worker' is emerging as AI tools enhance productivity. Organizations must adapt their structures to integrate AI effectively. Employee engagement is crucial during the AI adoption process. HR plays a pivotal role in facilitating AI integration. Dynamic organizational design is necessary to keep pace with AI advancements. Trust and transparency are essential for successful AI implementation. Companies need to focus on problem-solving rather than just task completion. AI can empower employees to take on more complex roles. The future of work will require a cultural shift towards innovation and creativity. Chapters 00:00 Introduction and Guest Introductions 00:13 The Evolution of AI in Organizations 01:35 The Role of People in AI Adoption 04:29 Understanding the Super Worker Concept 07:38 Dynamic Organizational Design and AI 10:25 The Future of Work with AI 13:31 HR's Role in AI Integration 16:13 The Super Worker Company Concept 19:27 Empowering Employees with AI 22:12 Conclusion and Future Outlook 22:39 The Future of Agentic AI 23:59 The Role of Big Tech in AI Development 25:52 Rethinking Business Value in the Age of AI 28:15 AI's Impact on HR and Employee Engagement 30:52 The Concept of Digital Twins in the Workplace 34:08 Empowering Super Workers with AI 36:00 Cultural Shifts in Organizations for AI Adoption 38:30 The Need for Reinvention in the Workforce 40:37 Advice for Tech Companies in the AI Era 45:16 Creating Irresistible Companies with Purpose Keywords AI, workplace transformation, super worker, HR technology, employee engagement, organizational design, AI adoption, digital twins, innovation culture, future of work

    51 min
  4. Hot AI Start-Up Runloop AI's Founder Jonathan Wall

    11/12/2025

    Hot AI Start-Up Runloop AI's Founder Jonathan Wall

    New Pulse of AI Podcast! Season 7, Ep 161 Pulse of AI Podcast Host is joined by Runloop AI Founder Jonathan Wall. Summary In this conversation, Jonathan Wall discusses his journey as a founder, the challenges of building AI infrastructure, and the importance of creating a platform for deploying AI agents. He emphasizes the need for a new compute primitive tailored for agents, the role of reinforcement learning in improving AI performance, and the challenges enterprises face in adopting AI technologies. The discussion also touches on the future of AI, the importance of hiring the right talent, and the evolving landscape of technology in the enterprise. Takeaways The balance between remote work and in-office collaboration is crucial. Founders often have unique journeys that shape their vision. Identifying unsolved problems in AI infrastructure is key to innovation. Agents require a different approach to compute than traditional software. Reinforcement learning can significantly enhance AI performance. Building a platform for agent deployment simplifies the process for developers. Creating a competitive moat involves understanding the unique needs of the market. Enterprise adoption of AI faces challenges that need to be addressed. The future of AI will depend on how well companies adapt to new technologies. Hiring the right talent is essential for building a successful startup. Keywords AI, agents, reinforcement learning, startup, infrastructure, deployment, enterprise, technology, founders, innovation

    45 min

Ratings & Reviews

5
out of 5
8 Ratings

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Real conversations with the founders, CEO's, AI pioneers and experts who are building the future of AI today.

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