Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)

Sean Murphy, Founder and CEO of DemoHop and former technology leader at Target and UnitedHealth Group, discusses how distributed teams hide great work. He explains science fair–style demo days that reduce duplication. He highlights the power of weak ties for creativity. He shows how visibility helps scale enterprise AI and build credibility between tech and business.

Chad Wasserman, SVP and CIO of HCA Healthcare responsible for IT across hundreds of hospitals, talks about keeping operational stability as the foundation for tech progress. He discusses treating IT as part of the care team. Topics include scaling AI and ambient documentation, building data platforms, organizational structure for reliability, and training technologists through clinical immersion.

Dan Gill, Chief Product Officer at Carvana who builds the company’s product, tech and AI-driven customer experiences. He explains how disciplined unit economics and vertical integration shape a pure e-commerce used-car model. Topics include deterministic self-service buying flows, AI-human collaboration like Sebastian, and when to build proprietary platforms versus using off-the-shelf tools.

Mark Fernandes, Managing Director at Sierra Ventures with decades in venture and Wall Street, explains a disciplined playbook for early-stage investing. He discusses a four-part founder rubric, strict fund size and portfolio construction, and why AI enablers in healthcare, legal, and vertical SaaS matter. He also covers balancing infrastructure and apps and the role of a CXO board in scaling enterprise startups.

Christopher Mims, Wall Street Journal technology columnist and author of How to AI, offers a clear take on AI’s effects on productivity and work. He discusses why experts gain most from AI. He warns against over-anchoring on AI, explains hallucinations and the need for oversight, and explores agentic systems, coding shifts, data as a strategic asset, and everyday habits like walking meetings.

Jaime Mineart, CTO and SVP at Caterpillar, leads machine autonomy, robotics, and enterprise tech. She discusses scaling AI across mining, quarries, and construction. She explains partnering with customers to co-develop solutions. She outlines the Helios data platform and an NVIDIA collaboration. She also describes a $100M pledge to upskill workers for the automated future.

Anthony Moisant, the CIO and Chief Security Officer at Indeed, dives into the reimagining of the hiring landscape. He discusses the critical role of trust in AI innovation and how the ‘invite to apply’ feature enhances the candidate experience. Moisant emphasizes the shift towards skill-based hiring and the importance of nurturing early-career talent. He also highlights the balance between self-driven learning and leadership support, revealing how AI can reduce hiring inefficiencies while boosting human connections.

Join Craig Stephenson, Jamey Cummings, and Scott Robbin, top executive recruiters with vast experience in tech leadership, as they discuss the evolving role of the CIO. They dive into the convergence of technology and enterprise strategy, exploring how modern tech leaders must blend engineering skills with business acumen. The panel highlights the rise of Chief AI Officers and the importance of transparency in CIO–CISO relationships. They emphasize the need for strong bench strength and the critical role of soft skills in shaping the future of technology leadership.

Daniel Docter, Managing Director at Dell Technologies Capital, dives into the critical role of data in enterprise AI. He argues that unstructured, context-free data is the biggest barrier to AI success, not the technology itself. The conversation explores how startups like Redis are tackling these data challenges. Daniel also discusses the evolving landscape of corporate venture capital and how Dell supports its portfolio companies with a hands-on approach. He highlights the importance of fixing the data layer for enterprises to thrive in the next five years.

Dr. Michael Pfeffer, Chief Information and Digital Officer at Stanford Health Care, discusses the evolution of healthcare technology. He explains why 'digitized' is not the same as 'digital' and shares insights into Stanford's innovative ChatEHR project and the FIRM framework for responsible AI. Pfeffer highlights the importance of AI in enhancing clinical value while emphasizing that it cannot replace the human connection in medicine. He also envisions AI streamlining healthcare processes and driving precision health through advanced data integration.