AI Trust summit
Session Recordings
All nine sessions from the event, available anytime.
Opening Keynote: Bridging the Enterprise AI Trust Chasm
Speakers
.jpeg)
Eleanor Treharne-Jones
Chief Executive Officer, Bigeye
ABout this session
"Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027." That's not a technology problem. That's a trust problem. And solving it, is what the entire AI Trust Summit is about.
Scaling “Think Big” AI: Closing the Gap Between Agentic AI and Enterprise Risk
Speakers

Ibrahim Itani
Head of Analytics and Innovation, Marathon Petroleum Corporation
ABout this session
Help enterprise leaders understand why the highest-ROI agentic AI use cases are often the ones stuck in pilot, and what trust conditions actually need to be in place before you can confidently scale them.
Can't Wait, Can't Move: The Policy Requirements Every AI Leader Must Address Before Scale
Speakers
.jpeg)
ShanShan Pa
Global Head of AI & Data Governance, GlobalLogic
.jpg)
Ray Everett
General Counsel & Chief Data Protection Officer, Topcon Healthcare, Inc.
%20(1).webp)
Simon McDougall
Chief Strategist, Privacy & AI, ZoomInfo
%201.png)
Matthew Coleman
Partner, Orrick, Herrington & Sutcliffe LLP
.jpeg)
Eleanor Treharne-Jones
Chief Executive Officer, Bigeye
ABout this session
A picture of what AI policy and regulatory readiness actually looks like — across jurisdictions, across sectors — so AI leaders can move fast without getting blindsided later.
The Executive Path to “Yes” From Security: How Leaders Get Agents Approved Without Months of Back-and-Forth
Speakers
%20(1).jpeg)
Steven Booth
Vice President of Engineering, CSOC Autonomous Sec Platform, Salesforce
.jpeg)
Joan Pepin
Chief Information Security Officer, Bigeye
ABout this session
A how-to on building the kind of ongoing partnership that stops security approvals from becoming a recurring bottleneck.
We Went From Everything-On-Paper to Agentic AI. Here’s What Happened.
Speakers
.webp)
Miles Braddock
Vice President, Head of Data, Fringe Benefit Group
%20(1).jpg)
Egor Gryaznov
Co-Founder & Field Chief Technology Officer, Bigeye
ABout this session
Rather than spending years building reports and dashboards, Fringe Benefit Group went straight from everything-on-paper to conversational analytics. This session is the honest account of that process.
The Enterprise AI Stack: The Market Map Every AI Leader Needs
Speakers
-p-500.jpeg)
Alex Drag
Head of Product Marketing, Kong
%20(1).jpeg)
Francois Lopitaux
Senior Vice President, Product Management, ThoughtSpot
.webp)
James Harding
Manager & Gen AI Technical Solutions Consultant, Google
%20(1).jpg)
Kyle Kirwan
Co-Founder & Chief Strategy Officer, Bigeye
.jpeg)
Rashmi Ramesh
Vice President of Product, Bigeye
ABout this session
This session walks through the enterprise AI stack layer by layer, with practitioners from each part of the ecosystem explaining what their layer does, why it matters, and how it connects to the rest.
Trustworthy AI for Highly Regulated Industries: From the People Building It
Speakers
.jpg)
Burak Aydin
Manager, Data Risk Governance, Navy Federal Credit Union
%20(1).jpg)
Adam Nilsen
Business Intelligence Operations Manager, NOV
.webp)
Drew Stark
Head of Sales, Bigeye
ABout this session
Two data and AI leaders from inside financial services and the energy sector. The questions their industry is wrestling with, and what they'd actually tell their peers.
Why AI Initiatives Fail (and How to Get Yours Right)
Speakers
%20(1).jpg)
Saurav Sen
Vice President of Enterprise Data & AI Platforms, Founder, AmeriLife, TechRobotica
.png)
Jim Barker
Director of Professional Services, Bigeye
ABout this session
Enterprises are becoming increasingly hybrid, relying on AI-augmented workflows. But data quality and accountability are still missing. This fireside chat covers common pitfalls and how to avoid them.
Closing Keynote: Your Next 90 Days: The Executive Action Plan
Speakers

Garrett Flynn
Principal, KPMG Advisory
.jpeg)
Eleanor Treharne-Jones
Chief Executive Officer, Bigeye
ABout this session
A 90 day framework for AI leaders for making AI governable, believable and operational.