AI demos are easy. Building AI that actually works inside a business is much harder. Explore what makes an AI system truly production ready, why even 99% accuracy can create serious problems at scale, and where human judgment, guardrails, governance, and accountability still matter.
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This episode offers a practical look at how technical risk gets reduced, why promising research gets stuck, and what investors need to understand before backing the next generation of deep tech companies.
AI, GPS, self-driving cars, mRNA vaccines, semiconductors and the internet did not appear overnight. Many were built on decades of publicly funded research before entrepreneurs and companies turned them into products.
AI is changing how startups build products, reach revenue, scale operations, and raise venture capital. Dave Lambert, founder and managing director of Right Side Capital Management, explains the new investment signals founders need to understand.
Ingrid Curtis, CEO of Sparq, explains how leaders can choose the right AI opportunities, move solutions into the hands of real users, and avoid endless experimentation. She shares Sparq’s ACT framework, the importance of solving “problem zero,” and why companies must use AI for growth, not just cost savings.
Garnet Heraman shares how he evaluates emerging technology markets by looking for historical patterns, adoption signals, clusters, and momentum. He explains why generic enterprise AI may become harder to defend, why vertical AI is creating real value in industries like healthcare, insurance, and finance.
In this episode, Geoff explains why AI is moving beyond individual productivity tools and workflow automation into something bigger: a company-wide intelligence layer that helps leaders understand what is really happening inside the business.
Category creation helps founders, operators, and innovation leaders stop competing in crowded markets and start defining new ones. Kevin Maney, co-author of Play Bigger, co-founder of Category Design Advisors, and author of The Category Creation Formula, breaks down how companies create demand, shape customer behavior, and become category leaders.
In this episode, neuroscientist, entrepreneur, and author Vivienne Ming explains why the biggest opportunity in AI is not automation, but helping people think better, ask better questions, and solve harder problems.
In this episode, Wendy Gonzalez, CEO of Sama, breaks down why high-quality data, human-in-the-loop systems, and clear evaluation standards are essential for building AI that actually works at scale.
In this episode, Dhruv C. Patel, Co-Founder of Syncurrent, explains how AI is helping public sector teams find grants, reduce admin work, and unlock funding opportunities that often go unused.
What if innovation is not about moving faster, but moving with purpose? In this episode of Innovators Inside, Ian Bergman sits down with Dr. Hisham Alasad, head of innovation enablement at Qatar Airways, to unpack a human-first view of innovation shaped by fintech, academia, and a bold move to Qatar.
What does it really take to lead through constant disruption? Jim Stallings, Founder and CEO of PS27 Ventures, shares lessons from a career spanning the U.S. Marine Corps, senior leadership roles at IBM, and now early-stage investing.
In this episode, Ghazenfer Mansoor, Founder and CEO of Technology Rivers and author of Beyond the Download, breaks down how to build AI and software products people actually use, not just download.
In this episode, Ron Green draws on over 30 years of hands-on experience in artificial intelligence to reveal how companies can unlock its full potential.
Tune in to discover actionable takeaways on harnessing AI to automate the mundane, crafting spaces that foster real human interaction, and leading product innovation in a world where technology accelerates teamwork—but only human insight sparks true transformation.
Discover the top 5 insights from Celia Wanderley on continuous learning, innovation portfolios, AI governance, and responsible risk-taking for practical innovation.
Discover five actionable innovation lessons from Moody’s Director of Strategy and Innovation, Conrad Wade, as he and Ian discuss customer‑first discovery, AI culture & more.
Azita Esmaili, Chief Technology and Innovation Officer at Eviden explores the dynamic interplay between AI, innovation management, and future-proofing organizations.
Manas Talukdar, a seasoned leader in enterprise AI and data infrastructure, explore the evolution of cloud-native data platforms and the transformative impact of artificial intelligence on businesses.
Amir shares his journey from his early days in the networking industry to founding Alkira and explains how his company is rethinking networking as a service using cloud infrastructure.
Ian and Paul explore the shift from broad IP enforcement to more targeted approaches in the digital age and discuss the challenges startups face in navigating AI and IP compliance.
