What does it take to evolve IT into a forward-looking innovation engine?

Mike Blandina, CIO of Snowflake, shares how he’s reimagined IT as “Enterprise Technology” as a way to describe what ‘IT’ really does: lead a solutions-first mindset at Snowflake designed for the AI era. In this conversation, Mike reflects on his first eight months leading tech at one of the world’s most AI-forward data cloud companies.

Key highlights include:

The philosophy behind the Enterprise Technology rebrand

Building Raven and RevOps—AI agents replacing 250+ dashboards

The Customer Zero model for product influence

Governance and localization strategies for responsible AI

Redefining staff models to include digital agents

What if your hiring strategy were fueled by the largest contingent workforce dataset in the world?

Magnit CEO Chandra Dhandapani joins Technovation to explore how data is reshaping how companies think about talent—from role design to sourcing strategy to real-time labor cost insights. Chandra also shares lessons from her journey from CIO to CEO and offers perspective on why automation—not AI—is the skill trend to watch.

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How can AI be designed from the customer back and not the model forward?

Hari Gopalkrishnan, Chief Technology and Information Officer at Bank of America, joins Peter High to share how one of the world’s largest financial institutions grounds its AI strategy in user behavior. From developing Erica to enabling employees with tools like Ask Merrill, Hari explains why every AI solution must begin with real customer or employee friction.

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What does it take to scale AI from 800 siloed experiments into enterprise-wide impact?

Doug Schmitt, President of Dell Technologies Services and CIO of Dell, joins Peter High to unpack the company’s enterprise AI playbook—a journey from fragmented innovation to four scalable platforms used across software development, customer service, supply chain, and sales.

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What does it take to play the long game in innovation?

Venture capitalist Brad Feld has spent four decades answering that question as a founder, mentor, and early-stage investor in companies like Fitbit, MakerBot, and Techstars. In this episode, Feld unpacks the enduring impact of mentorship, the logic behind his “Give First” philosophy, and how startups and enterprises alike can benefit from ecosystem thinking.

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What if your company’s data could become a public good and a competitive moat?

Beaumont Vance, SVP of Data and AI at Paychex, shares how his team transforms payroll and HR data into real-time economic insight, powering everything from AI copilots to U.S. government response efforts. With 1 in 11 U.S. workers on the platform and 39 million client interactions annually, Paychex treats data as infrastructure.

In this episode, Beaumont and Peter High discuss:

1025: What does it take to go from CIO to CEO? For Saul Van Beurden, tech leadership was the ideal proving ground.

Now CEO of Consumer, Small, and Business Banking at Wells Fargo, Saul shares how his background in IT helped him lead at enterprise scale. In this episode, he speaks with Peter High about the strategic, operational, and cultural mindset shifts that enabled his rise—and why CIOs are uniquely positioned to lead beyond technology.

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Where is AI actually moving the needle in industrial operations?

In this episode, Anil Bhatt, Chief Information and Digital Officer of Norfolk Southern, shares how the $12B freight rail company is turning AI into measurable value without overhyping its potential.

Topics include:

A disciplined approach to AI deployment with measurable ROI

Norfolk Southern’s “3 As” framework for enterprise data strategy

Copilot adoption to augment associate workflows

Lessons from customer-centric redesign of freight experiences

The role of AI in enabling safety, resilience, and transformation

What does it really take to scale AI responsibly across a global enterprise?

In this episode, Ramon Richards, Chief Technology Officer at T. Rowe Price, shares how his team is advancing AI capabilities with discipline and speed—balancing innovation with the need for risk controls, data readiness, and workforce enablement.

Ramon unpacks T. Rowe Price’s multi-pronged approach to artificial intelligence, from founding an AI Labs function to piloting autonomous agents, all while modernizing infrastructure and investing in talent development.

Key topics include:

Building an enterprise AI strategy with embedded risk and legal oversight

Launching “ChatTRP” to enable AI access across the organization

Preparing data and cloud architecture for scaled GenAI use cases

Developing human-in-the-loop frameworks and change management tactics

Piloting agentic AI to explore the future of autonomous workflows

How can venture investors consistently identify the next breakout market?

Barry Eggers, Founding Partner at Lightspeed Venture Partners, reveals the firm’s thesis-driven approach to venture capital of using early “learning investments” to test conviction, then scaling fast into emerging markets before the crowd arrives.

In this episode, Barry shares insights from Lightspeed’s foundational bets in enterprise tech, Snap’s billion-dollar rise, and how the firm built multi-company portfolios around early themes like flash storage and analytics.

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