Expert Events

Trusted AI Starts with Governance?

Name: Trusted AI Starts with Governance?
Start: 2026-08-12T11:00:00-05:00
End: 2026-08-12T12:30:00-05:00
Location: Virtual

Join Blend and IBM for an executive virtual roundtable examining how technology leaders are building trusted AI through effective governance. Explore strategies for balancing innovation with accountability, strengthening data foundations, implementing runtime governance, and scaling AI with confidence across the enterprise.

Virtual

August 12, 2026

to August 12, 2026

11:00 am

- 12:30 pm

About this event

Enterprise AI has entered a new phase. The challenge is no longer identifying use cases or proving AI’s potential – it’s ensuring AI operates responsibly, consistently, and at enterprise scale.

As organizations move from experimentation to production, governance has become the critical foundation for trusted AI. Leaders must establish clear policies, trusted data, runtime controls, and accountability frameworks that allow AI systems to make decisions confidently while remaining transparent, compliant, and aligned with business objectives. Without strong governance, even the most promising AI initiatives risk stalling before they deliver meaningful value.

Join Blend and IBM for an executive virtual roundtable exploring how leading organizations are evolving AI governance from a compliance exercise into a strategic capability. Together, we’ll discuss how technology leaders are balancing innovation with control, creating trusted data foundations, governing AI in real time, and building the organizational confidence needed to accelerate AI adoption across the enterprise.

Our speakers

Greg Pollack

Data Platform Leader, US Horizon Southeast Market | IBM

Greg Pollack leads IBM’s Data Platform and AI business across the Southeast, where he and his team partner with enterprise clients to modernize their data estates and operationalize AI at scale. With more than 12 years at IBM, Greg has built a track record of helping organizations turn complex data and AI investments into measurable business outcomes, spanning industries from financial services and healthcare to energy and consumer goods.

He brings a practitioner’s perspective to the conversations clients are having right now: how to build a trusted data foundation, how to govern AI responsibly as it moves from pilot to production, and how to design agentic workflows that deliver real productivity gains without compromising compliance or control. His team works closely with clients on AI governance, agentic orchestration, data modernization, and the broader IBM data and AI portfolio, with a particular focus on responsible AI adoption and agentic workflow transformation.

Greg leads a regional organization spanning sales, technical sales, and solution engineering, and works directly with C-suite leaders to align technology investments with enterprise strategy. He is based in Sarasota, Florida.

Julia Belle

Head of Community - London

Julia is a broadcaster, political commentator, corporate event host and business trainer. She has been covering news, current affairs and entertainment for BBC Three for three years and before this she featured weekly on BBC 5 Live – discussing the newspaper headlines and the latest breaking news.

She hosted a BBC election show, diving into key voter topics, as well as a TED Talk titled “The Secret to Being Right” which was instantly selected amongst TED’s “Editor’s Picks.”

She has interviewed some of the most influential figures in politics and business, on a range of topics from general elections to generative AI.

She runs the London community of Blend as well as the members’ exclusive Blend Book Club, interviewing prolific business authors and sharing key learnings from a range of titles covering topics like leadership, negotiation, DEI, productivity and handling difficult issues.

Key themes & discussion topics

Building Trusted AI Through Effective Governance
How organizations are establishing governance frameworks that enable responsible AI adoption while supporting innovation at scale.

From Compliance to Strategic Advantage
Why leading enterprises are transforming AI governance from a risk management exercise into a competitive business capability.

Creating Trusted Data Foundations
Best practices for improving data quality, ownership, and governance to support reliable AI decision-making across the enterprise.

Scaling AI with Accountability and Real-Time Oversight
How organisations are governing AI beyond deployment through runtime controls, clear ownership, and measurable business outcomes.

Event agenda

Welcome remarks

11:00 – 11:15 AM

Guided group discussion

11:15 – 12:15 PM

Closing thought & group reflection

12:15 – 12:30 PM

Why should you attend?

Gain practical insights into how leading organisations are building governance frameworks that enable trusted AI while accelerating innovation, not slowing it down.

Exchange experiences with senior technology leaders tackling the challenges of scaling AI across complex enterprise environments.

Explore strategies for strengthening data governance, improving accountability, and implementing effective runtime controls for AI systems.

Leave with actionable ideas for transforming AI governance into a strategic capability that supports confident, enterprise-wide AI adoption.

Who should attend

This session is designed for senior technology and transformation leaders responsible for AI strategy, governance, enterprise architecture, and digital transformation. The discussion will be particularly valuable for leaders responsible for moving AI from experimentation into trusted enterprise execution.

Venue

Virtual

N/A

Apply to participate