Explore the pivotal shifts in strategy, technology, and culture that drive successful reinvention. Learn how vision is translated into real-world execution and gain insights into the critical factors that enable enterprises to thrive in an AI-powered era.
Johnson & Johnson EVP, Chief Information Officer, Jim Swanson
Reuters Correspondent, Michael Erman
This Interview is hosted by Reuters journalists under the Reuters Trust Principles.
In this rapid-fire chat, McKinsey's Rewired authors Rob Levin and Alex Singla unpack what it takes to scale AI in the agentic era and why “capabilities, not tools” is the only repeatable path to enterprise tech value. They’ll share the choices that matter most to move from pilots to compounding impact.
QuantumBlack AI by McKinsey Senior Partner, Robert Levin
QuantumBlack AI by McKinsey Senior Parter, Alex Singla
Reuters Events Broadcast Journalist, Richelle Carey
Gain insights from enterprise AI leaders on the pragmatic steps to transition from experimentation to meaningful scalability. Hear real-world stories of success, outlining what works and what hasn't across industries.
Whirlpool International SVP, Chief Information Officer, Danielle Brown
Cleveland Clinic SVP, Chief Information Officer, Sarah Hatchett
Duke Energy SVP, Chief Information Officer, Richard Donaldson
Scale AI SVP of Engineering, Priya Ponnapalli
(Moderator) - Harvard University, Columbia University, Stealth Author, Founder & Adjunct Professor, Alexander Puutio
As AI agents take on more of the work that shapes releases, customer experience, and business risk, teams need a clearer, more governed approach to guiding how those agents operate. In this session, we’ll introduce how coordinated system of AI agents operate that brings structure, oversight, and confidence to AI‑driven quality operations without limiting the speed or scale AI makes possible.
What you’ll learn:
- A new way to operate quality at AI speed
- Where humans fit in an AI-driven system
- How to coordinate agents, guide workflows, and strengthen oversight across the quality landscape.
Tricentis Enterprise Solution Architect, Matt Serpone
Discover how enterprise leaders are redefining AI value beyond cost savings. This session explores frameworks for measuring ROI across revenue growth, risk reduction, and operational efficiency. Learn how CFOs, COOs, and CAIOs build investment cases, prioritize AI portfolios, and track business impact at scale.
TD Bank Head of U.S. Commercial Banking & AI Technology, Lalit Dhawan
Lowe's SVP of Digital, Joe Cano
Parloa Chief Marketing Officer, Latané Conant
(Moderator) Yale University Senior Lecturer in Economics, Eva Chalioti PhD
As enterprises push AI from pilots into production, many are discovering that performance, cost, and scalability are no longer limited by models alone — but by how data is stored, moved, and accessed across the enterprise. AI workloads are fundamentally changing infrastructure requirements, forcing leaders to rethink how storage, networking, and compute work together to support training, inference, and real-time decision making at scale.
In this executive conversation, we explore why “AI native” data architectures are becoming a strategic priority for organisations looking to scale AI responsibly and efficiently. Drawing on real-world experience from across the AI ecosystem, the discussion will examine how infrastructure choices impact AI ROI, sustainability, resilience, and long-term flexibility — and what enterprise leaders should be thinking about now to avoid hidden constraints on AI growth.
Solidigm SVP, Head of Products & Marketing, Greg Matson
VAST Data Co-Founder, Jeff Denworth
Reuters Events Broadcast Journalist, Richelle Carey
As AI rapidly reshapes how people shop, a new paradigm is emerging—one where intelligent agents play an active role in discovery, decision-making, and purchase. In this session, Wayfair CTO Fiona Tan joins Reuters’ Arriana McLymore to explore how Wayfair is advancing agentic commerce through foundational partnerships and new AI-powered experiences and tools that are redefining personalization at scale.
Wayfair Chief Technology Officer, Fiona Tan
Reuters Reporter, Arriana McLymore
This Interview is hosted by Reuters journalists under the Reuters Trust Principles.
As enterprises push AI from pilots into production, many are discovering that even well -designed architectures run headfirst into constrained supply across GPUs, storage, power, and data centre capacity. Following the keynote discussion on why storage strategy now determines AI ROI, this closed-door executive working session tackles the next challenge: how to run AI effectively when critical building blocks remain limited — and may not catch up.
In this interactive session, a curated group of senior leaders will move beyond theory to compare how they are allocating scarce capacity, reducing demand through architectural and data decisions, and rethinking sourcing and risk strategies across on Prem, cloud, and neo cloud environments. Through a short reality check panel and three facilitated roundtables, participants will examine the trade-offs and decisions enterprises need to make in the next 6–12 months to sustain AI momentum under long-term constraint.
Solidigm SVP Global Operations, Kyle Fukuda
CoreWeave Senior Director of Compute Architecture, Jacob Yund
VAST Data VP Strategic Initiatives, Phil Manez
Join us for an interactive, insight‑driven workshop exploring how AI is reshaping financial services across banking, insurance, and asset management. The session begins with a 15‑minute general overview from Google Cloud, highlighting key trends, adoption patterns, and the evolving AI landscape across the industry.
Participants will then break into focused, 45‑minute roundtable discussions led by Google Cloud experts:
1. AI Risk & Compliance
Dive into the frameworks and safeguards shaping responsible AI deployment. This roundtable covers governance best practices, implications of the EU AI Act, and approaches to model risk management.
Led by: Aaron Sutton - Technical Solutions - Financial Services, Google Cloud
2. Customer‑Facing AI
Explore how AI is transforming the customer experience through hyper‑personalization, advanced fraud detection, and enhanced advisor support.
Led by: Sid Nadella - Director, Financial Services Market Leader, Capital Markets, Google Cloud
3. AI Infrastructure
Examine the technical foundations required for scalable AI, including real‑time data pipelines, cost‑optimized architectures, and strategies for integrating with legacy systems.
Led by: Italo Brito – Head of Sales - Hedge Funds & Exchanges, Google Cloud
This workshop offers a blend of strategic insight and practical discussion, giving participants the opportunity to engage directly with experts and peers on the opportunities and challenges of AI in financial services.
Organizations are investing heavily in AI, yet without a skilled workforce, those investments stall. In this session, DataCamp shows what it takes to build AI capability at scale, from executives who need to understand AI's strategic impact to engineers building multi-agent systems with LangGraph and the OpenAI API. Based on the 2026 State of Data & AI Literacy Report and experience upskilling 18 million learners at 6,000+ organizations, we share a two-track model for real AI transformation: broad AI literacy for all and deep technical training for builders.
DataCamp Director Corporate Sales, Michael Badala
Today, most customers are forced to navigate two completely disconnected experiences: the digital journey and support. They don't connect. They don't learn from each other. When something goes wrong, customers leave one and start over in another, re-explaining a problem the system should already understand.
Puneet Mehta and Justin Wexler have spent 20+ years deploying AI-powered customer experiences at Fortune 100 companies like United Airlines, DraftKings, and MetLife. In this session, they'll reveal how the next generation of customer experience operates: AI shifting from a supporting role to the primary interface that understands, decides, and resolves in real time, eliminating the need for customers to switch channels or start over, and proactively resolving customer needs before they ever require support.
You’ll learn how this shift from reactive support to pre-emptive resolution changes the economics of the entire business and why the fastest-moving companies are already pulling ahead.
Netomi Founder & CEO, Puneet Mehta
WndrCo General Partner, Justin Wexler
AI innovation promises transformative outcomes—but beneath the surface lie risks that most enterprises never anticipate until it’s too late. This session dives into the “unknown unknowns” of AI adoption, exposing blind spots that can stall progress, inflate costs, or compromise trust.
Bristol Myers Squibb Global Chief Information Security Officer and Head of Enterprise IT, Sydney Klein
Devon Energy Chief Information Officer, Heath Satterfield
Wells Fargo EVP Chief Technology Officer, Digital and AI Engineering, Swarup Pogalur
Forum AI Co-Founder & CEO, Campbell Brown
(Moderator) Fordham University Adjunct Professor & Advisory, Julia Cherashore
These small group sessions, conducted under the Chatham House Rule, are designed to foster candid dialogue and strategic collaboration. Led by a diverse mix of thought leaders, practitioners, and academics, each session is structured as a facilitated workshop with clear objectives, pre-session framing, and post-session takeaways.
Topics:
1) Agentic Data Management — Using AI Agents to Automate Data Management and Accelerate AI Adoption - Anton Wouters, Soda AI
2) What’s Actually Working in AI for Financial Services? - Tyler Hutcherson, Applied AI Engineering - Manager, Redis, Neil Meulener, Head of Strategic Accounts, Redis
3) ''Your data is fine. Your AI isn't good enough'' - Ethan Ding, CEO, TextQL and Rob Wisniewski, CTO - Client and Firm Platforms, Blackstone
4) Practical AI Governance: Turning Guardrails into Competitive Advantage - Fern Halper PhD, AI Foundations Group & VP/Research Director, TDWI
5) AI Advancing Business for ROIs, Outcomes, and Impact - Dr. Kelly H. Zou, Phd, PStat, FASA, CEO & President, AI4Purpose
6) Securing Agentic AI: Identity, Access & Controls for Autonomous Systems - Mario Guerendo, Partner, MLG Ventures
7) AI Breakthroughs in Healthcare and Life Sciences: What’s Newly Possible Right Now? - Dr. Eugene Kolker, Co-Founder, SYNCMD and Adjunct Professor, NYU
8) Bridging the Gap: Migrating Mission-Critical ML Systems to the Generative AI Era – Ahsaas Bajaj, Machine Learning Tech Lead
The biggest barrier to enterprise AI automation isn't the technology, it's knowing where to apply it. João Moura, Founder & CEO of CrewAI, will reveal how CrewAI's new automated discovery capabilities analyze an organization's operational data to identify the highest-impact workflows that can be instantly automated with governed reliable multi-agent crews. This session will demonstrate how enterprises can collapse months of manual process assessment into days, turning tribal knowledge into production-ready, continuously improving agentic workflows at scale.
CrewAI CEO, João Moura
"Aren't I just training my replacement?" "Is this killing the planet?" "What's our competitive advantage if everyone has access to the same AI?" The toughest obstacles to AI adoption aren't technical — they're human. In this session, Section's Head of AI Michael Domanic equips enterprise leaders with the frameworks and frank answers their managers need to navigate the hard questions employees are actually asking — from job displacement fears and moral objections, to AI slop, competitive differentiation, and whether any of this is even worth the effort.
Section AI Head of AI, Michael Dominac
In this session, enterprise executives will present rapid-fire case studies highlighting tangible returns from AI initiatives. Each 10-minute presentation will showcase real-world examples of how organizations achieved measurable business outcomes.
In this session:
1) Enterprise Agentic AI: Four Pillars for Production-Ready Systems - Ford Motor Company, CTO, Integrated Services, Suresh Kandula
As enterprises scale from AI experiments to production agentic systems, four critical architectural patterns emerge as foundational. This presentation explores practical strategies for building robust, scalable agent infrastructure.
2) From Data to Decisions: Benchmarking Fleet Performance with AI - Penske Transportation Solutions, EVP Strategy and Marketing, Sherry Sanger
Catalyst AI is Penske Truck Leasing’s proprietary benchmarking and fleet intelligence platform designed to bring objective performance context to fleet operations at scale.
Built on one of the largest connected transportation networks in North America, the platform evaluates key performance indicators such as miles per gallon, operational optimization and maintenance metrics across entire fleets, isolated business hubs and down to the unit level.
By comparing performance against similar equipment types, routes, utilization patterns, geographic conditions and more, Catalyst AI establishes meaningful benchmarks grounded in real operating environments. This process reveals each fleets distinct operational DNA, highlighting performance strengths, uncovering inefficiencies and identifying measurable opportunities for improvement – in real time.
Explore the changing workforce landscape, where new AI roles, skills, and organizational models drive success. Hear best practices on building AI-ready teams capable of overcoming future challenges.
Voya Investments Management Chief Technology Officer, Tatyana Kibrik
Beacon Communities Chief Information and Digital Officer, Prabin Kanel
Graphiant Chief Information Security Officer, Arsalan Khan
(Moderator) Reuters Head of Market Insights, Liam Stoker
Aaron Levie, CEO, Box
(Moderator) Jeffrey Dastin, Technology Reporter, Reuters
This interview is hosted by a Reuters journalist under the Reuters Trust Principles.
A closed-door, candid conversation about the real challenges and opportunities of AI transformation.
Join host Mara Bolis (Founder, First Prompt & Fellow, Berkman Klein Center at Harvard) alongside Christina Lessa (Founder, Blueprints for Arts and Policy), Charu Mehta (AI & Data Global Product), and Abby Vare, (Director of Tech/AI, Capital V Strategies) for an empowering session designed to inspire, connect, and support the next generation of women shaping AI.
Discover how this enterprise leader is unlocking tangible value with Agentic AI by exploring scalable opportunities and navigating challenges in adoption. This session sets the stage for how leaders can separate hype from reality and strategically realize Agentic AI's potential.
Southern Company Chief Technology & Information Officer, Hans Brown
MassMutual (CIO) Head of Enterprise Technology & Experience, Sears Merritt
Novartis Global Head, Data, Digital & IT, US & International, VP, Mary Treacy
ONA Chief Technology Officer & Co-Founder, Christian Weichel
(Moderator) Dr. Eugene Kolker, Co-Founder, SYNCMD and Adjunct Professor, NYU
AI agents act faster than humans can approve. When your AI agent rollouts are enterprise-wide, you're authorizing agents to make billions of decisions per day. Manual security reviews don't just slow you down, they fail. This session explores the solution: when every agent has an identity, you can discover, onboard, and protect them without slowing down rollouts. Move at agentic speed without sacrificing security.
Okta SVP & GM AI Security, Harish Peri
Reuters Events Broadcast Journalist, Richelle Carey
In this session, enterprise executives will present rapid-fire case studies highlighting tangible returns from AI initiatives. Each 10-minute presentation will showcase real-world examples of how organizations achieved measurable business outcomes—such as increased revenue, improved efficiency, and risk mitigation—through strategic AI investments
Navan CTO & Co-Founder, Ilan Twig
A look into whether we can reduce our reliance on general-purpose LLMs in favour of smaller, specialized models (SLMs).
- More Accurate: Delivering higher-quality, more relevant results by focusing on a specific domain.
- Faster & Cheaper: Running efficiently on our own systems, cutting down on API costs and latency.
- More Secure: Keeping all our proprietary data within our own secure environment.
Riviera Partners Chief Revenue Officer, Jack Gage
As AI reshapes how companies build and scale, the pressure to hire the right technical leaders has only grown. In this session, Jack Gage, Chief Revenue Officer at Riviera Partners, will share how Riviera applied AI inside executive search to help recruiters define roles faster, evaluate candidates with more context, and improve placement outcomes.
Target SVP Technology, Brad Thompson
AI is already driving meaningful impact across ecommerce today, from improving how guests discover products to enabling more relevant, personalized experiences.
This session will share practical examples of how AI is delivering results now, transparent learnings from Target's tech journey, and the building blocks required to bring about agentic commerce.
As AI adoption accelerates, trust has become a critical differentiator. In this interview, a senior executive shares how pragmatic governance—covering risk, accountability, and ethics—is enabling faster deployment, stronger stakeholder confidence, and sustained competitive advantage.
Akka CEO, Tyler Jewell
Manulife Global Chief AI Officer, Jodie Wallis
Reuters Events Broadcast Journalist, Richelle Carey
Enterprises are restructuring themselves to deliver AI at scale — shifting decision-making, accountability, workflows and governance. This panel explores a range of emerging operating models, from centralised AI hubs to federated product-led structures. We’ll look at how organisations are redesigning processes, platforms and roles to accelerate AI value.
CBRE Global Chief Digital & Technology Officer, Sandeep Dave
Paramount EVP, Chief Information Officer, Lakshman Nathan
Serval Founder and CEO, Jake Stauch
(Moderator) CUNY School of Professional Studies Academic Director, Arthur O'Connor
These small group sessions, conducted under the Chatham House Rule, are designed to foster candid dialogue and strategic collaboration. Led by a diverse mix of thought leaders, practitioners, and academics, each session is structured as a facilitated workshop with clear objectives, pre-session framing, and post-session takeaways.
Topics:
1) From Pilot to Platform: Playbooks for Scaling Enterprise AI - Brian Rowe, SVP AI/ML Service Line, Marlabs
2) Reliable AI Agents Have a Context Problem - Tyler Hutcherson, AI Applied Engineering - Manager, Redis
3) The Future AI Workforce: Incentives, Accoutability & Culture in an Agentic Era - Dr. Eugene Kolker, Co-Founder, SYNCMD and Adjunct Professor, NYU
4) Healthcare & Life Sciences: Evidence Generation to Personalized Experiences - Dr. Kelly H. Zou, PhD, PStat, FASA, CEO & President, AI4Purpose
5) Designing Your Operating Model: Central Hubs vs Federated Teams - Mario Guerendo, Partner, MLG Ventures
6) De-Risking Agentic AI: The Governance Controls Enterprises Need Now - Pamela Gupta, AI Governance, Advisory & Founder, Trusted AI
7) Change Management: Upskilling and New Structures & Roles in the Era of AI - Fern Halper PhD, VP/Research Director, TDWI
As AI agents become embedded across workflows, enterprises are facing an unexpected challenge: access decisions now outnumber human actions by orders of magnitude. This workshop explores how AI‑driven task velocity is reshaping identity, authorization, and accountability — and how leading enterprises are evolving governance to enable trust, clarity, and scale in machine‑driven workflows.
Okta SVP & GM AI Security, Harish Peri
This hands-on workshop helps leaders move from AI governance theory to practice. Guided by a Credo AI expert, participants will work through key frameworks, common challenges, and cross-functional strategies needed to operationalize governance at scale. Attendees will leave with a clear view of their current state and actionable next steps, including how to align with emerging regulations like the EU AI Act.
Credo AI AI Governance Advisory, Ankita Mohapatra
What will buying look like when AI agents act, negotiate, and transact on our behalf? In this fireside conversation, we explore how agentic commerce is reshaping purchasing decisions, customer journeys, and value chains. Hear what enterprises must do now to prepare for how commerce will work in 2030.
AMEX Global Head of Innovation, Luke Gebb
(Moderator) Reuters Events Broadcast Journalist Richelle Carey
How AI’s impact is extending beyond products and valuations into labor decisions, credit and debt markets, capital structure, litigation risk, and systemic exposure, drawing on 2026 Reuters reporting.
Moderator: Megan Davies, U.S. Financial Industry and Markets Editor, Reuters
Speakers:
• Katie Paul, Technology & Social Media Reporter, Reuters
• Jeffrey Dastin, Technology Correspondent & Team Leader, Reuters
• Jody Godoy, Tech Policy & Antitrust Correspondent, Reuters
This Panel is hosted by Reuters journalists under the Reuters Trust Principles.
Conclude the conference with a deep-dive panel discussion looking into the future of the enterprise AI ecosystem. Industry leaders will explore emerging trends, disruptive technologies, and evolving strategies that will shape the next decade of AI transformation.
IHG Hotels & Resorts SVP AI & Architecture, Wei Manfredi
Sanford Health Chief Technology and Digital Officer, Brad Reimer
Boehringer Ingelheim Head of IT/Chief Information Officer, Rajeev Sukumaran
Bank of America Head of Consumer Technology, Chief Information Officer, Tom Ellis
Upscale AI SVP, Product Management & Marketing, Aravind Srikumar
(Moderator) Reuters Events Broadcast Journalist, Richelle Carey
Authentic Brands Group Founder, Chairman, and CEO, Jamie Salter
Reuters Retail Correspondent, Arriana McLymore
This interview is hosted by a Reuters journalist under the Reuters Trust Principles
Explore the pivotal shifts in strategy, technology, and culture that drive successful reinvention. Learn how vision is translated into real-world execution and gain insights into the critical factors that enable enterprises to thrive in an AI-powered era.
Johnson & Johnson EVP, Chief Information Officer, Jim Swanson
Reuters Correspondent, Michael Erman
This Interview is hosted by Reuters journalists under the Reuters Trust Principles.
In this rapid-fire chat, McKinsey's Rewired authors Rob Levin and Alex Singla unpack what it takes to scale AI in the agentic era and why “capabilities, not tools” is the only repeatable path to enterprise tech value. They’ll share the choices that matter most to move from pilots to compounding impact.
QuantumBlack AI by McKinsey Senior Partner, Robert Levin
QuantumBlack AI by McKinsey Senior Parter, Alex Singla
Reuters Events Broadcast Journalist, Richelle Carey
Gain insights from enterprise AI leaders on the pragmatic steps to transition from experimentation to meaningful scalability. Hear real-world stories of success, outlining what works and what hasn't across industries.
Whirlpool International SVP, Chief Information Officer, Danielle Brown
Cleveland Clinic SVP, Chief Information Officer, Sarah Hatchett
Duke Energy SVP, Chief Information Officer, Richard Donaldson
Scale AI SVP of Engineering, Priya Ponnapalli
(Moderator) - Harvard University, Columbia University, Stealth Author, Founder & Adjunct Professor, Alexander Puutio
As AI agents take on more of the work that shapes releases, customer experience, and business risk, teams need a clearer, more governed approach to guiding how those agents operate. In this session, we’ll introduce how coordinated system of AI agents operate that brings structure, oversight, and confidence to AI‑driven quality operations without limiting the speed or scale AI makes possible.
What you’ll learn:
- A new way to operate quality at AI speed
- Where humans fit in an AI-driven system
- How to coordinate agents, guide workflows, and strengthen oversight across the quality landscape.
Tricentis Enterprise Solution Architect, Matt Serpone
Discover how enterprise leaders are redefining AI value beyond cost savings. This session explores frameworks for measuring ROI across revenue growth, risk reduction, and operational efficiency. Learn how CFOs, COOs, and CAIOs build investment cases, prioritize AI portfolios, and track business impact at scale.
TD Bank Head of U.S. Commercial Banking & AI Technology, Lalit Dhawan
Lowe's SVP of Digital, Joe Cano
Parloa Chief Marketing Officer, Latané Conant
(Moderator) Yale University Senior Lecturer in Economics, Eva Chalioti PhD
As enterprises push AI from pilots into production, many are discovering that performance, cost, and scalability are no longer limited by models alone — but by how data is stored, moved, and accessed across the enterprise. AI workloads are fundamentally changing infrastructure requirements, forcing leaders to rethink how storage, networking, and compute work together to support training, inference, and real-time decision making at scale.
In this executive conversation, we explore why “AI native” data architectures are becoming a strategic priority for organisations looking to scale AI responsibly and efficiently. Drawing on real-world experience from across the AI ecosystem, the discussion will examine how infrastructure choices impact AI ROI, sustainability, resilience, and long-term flexibility — and what enterprise leaders should be thinking about now to avoid hidden constraints on AI growth.
Solidigm SVP, Head of Products & Marketing, Greg Matson
VAST Data Co-Founder, Jeff Denworth
Reuters Events Broadcast Journalist, Richelle Carey
As AI rapidly reshapes how people shop, a new paradigm is emerging—one where intelligent agents play an active role in discovery, decision-making, and purchase. In this session, Wayfair CTO Fiona Tan joins Reuters’ Arriana McLymore to explore how Wayfair is advancing agentic commerce through foundational partnerships and new AI-powered experiences and tools that are redefining personalization at scale.
Wayfair Chief Technology Officer, Fiona Tan
Reuters Reporter, Arriana McLymore
This Interview is hosted by Reuters journalists under the Reuters Trust Principles.
As enterprises push AI from pilots into production, many are discovering that even well -designed architectures run headfirst into constrained supply across GPUs, storage, power, and data centre capacity. Following the keynote discussion on why storage strategy now determines AI ROI, this closed-door executive working session tackles the next challenge: how to run AI effectively when critical building blocks remain limited — and may not catch up.
In this interactive session, a curated group of senior leaders will move beyond theory to compare how they are allocating scarce capacity, reducing demand through architectural and data decisions, and rethinking sourcing and risk strategies across on Prem, cloud, and neo cloud environments. Through a short reality check panel and three facilitated roundtables, participants will examine the trade-offs and decisions enterprises need to make in the next 6–12 months to sustain AI momentum under long-term constraint.
Solidigm SVP Global Operations, Kyle Fukuda
CoreWeave Senior Director of Compute Architecture, Jacob Yund
VAST Data VP Strategic Initiatives, Phil Manez
AI In Financial Services: 2026 State of Play
Join us for an interactive, insight‑driven workshop exploring how AI is reshaping financial services across banking, insurance, and asset management. The session begins with a 15‑minute general overview from Google Cloud, highlighting key trends, adoption patterns, and the evolving AI landscape across the industry.
Participants will then break into focused, 45‑minute roundtable discussions led by Google Cloud experts:
1. AI Risk & Compliance
Dive into the frameworks and safeguards shaping responsible AI deployment. This roundtable covers governance best practices, implications of the EU AI Act, and approaches to model risk management.
Led by: Aaron Sutton - Technical Solutions - Financial Services, Google Cloud
2. Customer‑Facing AI
Explore how AI is transforming the customer experience through hyper‑personalization, advanced fraud detection, and enhanced advisor support.
Led by: Sid Nadella - Director, Financial Services Market Leader, Capital Markets, Google Cloud
3. AI Infrastructure
Examine the technical foundations required for scalable AI, including real‑time data pipelines, cost‑optimized architectures, and strategies for integrating with legacy systems.
Led by: Italo Brito – Head of Sales - Hedge Funds & Exchanges, Google Cloud
This workshop offers a blend of strategic insight and practical discussion, giving participants the opportunity to engage directly with experts and peers on the opportunities and challenges
of AI in financial services.
Organizations are investing heavily in AI, yet without a skilled workforce, those investments stall. In this session, DataCamp shows what it takes to build AI capability at scale, from executives who need to understand AI's strategic impact to engineers building multi-agent systems with LangGraph and the OpenAI API. Based on the 2026 State of Data & AI Literacy Report and experience upskilling 18 million learners at 6,000+ organizations, we share a two-track model for real AI transformation: broad AI literacy for all and deep technical training for builders.
DataCamp Director Corporate Sales, Michael Badala
Today, most customers are forced to navigate two completely disconnected experiences: the digital journey and support. They don't connect. They don't learn from each other. When something goes wrong, customers leave one and start over in another, re-explaining a problem the system should already understand.
Puneet Mehta and Justin Wexler have spent 20+ years deploying AI-powered customer experiences at Fortune 100 companies like United Airlines, DraftKings, and MetLife. In this session, they'll reveal how the next generation of customer experience operates: AI shifting from a supporting role to the primary interface that understands, decides, and resolves in real time, eliminating the need for customers to switch channels or start over, and proactively resolving customer needs before they ever require support.
You’ll learn how this shift from reactive support to pre-emptive resolution changes the economics of the entire business and why the fastest-moving companies are already pulling ahead.
Netomi Founder & CEO, Puneet Mehta
WndrCo General Partner, Justin Wexler
AI innovation promises transformative outcomes—but beneath the surface lie risks that most enterprises never anticipate until it’s too late. This session dives into the “unknown unknowns” of AI adoption, exposing blind spots that can stall progress, inflate costs, or compromise trust.
Bristol Myers Squibb Global Chief Information Security Officer and Head of Enterprise IT, Sydney Klein
Devon Energy Chief Information Officer, Heath Satterfield
Wells Fargo EVP Chief Technology Officer, Digital and AI Engineering, Swarup Pogalur
Forum AI Co-Founder & CEO, Campbell Brown
(Moderator) Fordham University Adjunct Professor & Advisory, Julia Cherashore
These small group sessions, conducted under the Chatham House Rule, are designed to foster candid dialogue and strategic collaboration. Led by a diverse mix of thought leaders, practitioners, and academics, each session is structured as a facilitated workshop with clear objectives, pre-session framing, and post-session takeaways.
Topics:
1) Agentic Data Management — Using AI Agents to Automate Data Management and Accelerate AI Adoption - Anton Wouters, Soda AI
2) What’s Actually Working in AI for Financial Services? - Tyler Hutcherson, Applied AI Engineering - Manager, Redis, Neil Meulener, Head of Strategic Accounts, Redis
3) ''Your data is fine. Your AI isn't good enough'' - Ethan Ding, CEO, TextQL and Rob Wisniewski, CTO - Client and Firm Platforms, Blackstone
4) Practical AI Governance: Turning Guardrails into Competitive Advantage - Fern Halper PhD, AI Foundations Group & VP/Research Director, TDWI
5) AI Advancing Business for ROIs, Outcomes, and Impact - Dr. Kelly H. Zou, Phd, PStat, FASA, CEO & President, AI4Purpose
6) Securing Agentic AI: Identity, Access & Controls for Autonomous Systems - Mario Guerendo, Partner, MLG Ventures
7) AI Breakthroughs in Healthcare and Life Sciences: What’s Newly Possible Right Now? - Dr. Eugene Kolker, Co-Founder, SYNCMD and Adjunct Professor, NYU
8) Bridging the Gap: Migrating Mission-Critical ML Systems to the Generative AI Era – Ahsaas Bajaj, Machine Learning Tech Lead
The biggest barrier to enterprise AI automation isn't the technology, it's knowing where to apply it. João Moura, Founder & CEO of CrewAI, will reveal how CrewAI's new automated discovery capabilities analyze an organization's operational data to identify the highest-impact workflows that can be instantly automated with governed reliable multi-agent crews. This session will demonstrate how enterprises can collapse months of manual process assessment into days, turning tribal knowledge into production-ready, continuously improving agentic workflows at scale.
CrewAI CEO, João Moura
"Aren't I just training my replacement?" "Is this killing the planet?" "What's our competitive advantage if everyone has access to the same AI?" The toughest obstacles to AI adoption aren't technical — they're human. In this session, Section's Head of AI Michael Domanic equips enterprise leaders with the frameworks and frank answers their managers need to navigate the hard questions employees are actually asking — from job displacement fears and moral objections, to AI slop, competitive differentiation, and whether any of this is even worth the effort.
Section AI Head of AI, Michael Dominac
In this session, enterprise executives will present rapid-fire case studies highlighting tangible returns from AI initiatives. Each 10-minute presentation will showcase real-world examples of how organizations achieved measurable business outcomes.
In this session:
1) Enterprise Agentic AI: Four Pillars for Production-Ready Systems - Ford Motor Company, CTO, Integrated Services, Suresh Kandula
As enterprises scale from AI experiments to production agentic systems, four critical architectural patterns emerge as foundational. This presentation explores practical strategies for building robust, scalable agent infrastructure.
2) From Data to Decisions: Benchmarking Fleet Performance with AI - Penske Transportation Solutions, EVP Strategy and Marketing, Sherry Sanger
Catalyst AI is Penske Truck Leasing’s proprietary benchmarking and fleet intelligence platform designed to bring objective performance context to fleet operations at scale.
Built on one of the largest connected transportation networks in North America, the platform evaluates key performance indicators such as miles per gallon, operational optimization and maintenance metrics across entire fleets, isolated business hubs and down to the unit level.
By comparing performance against similar equipment types, routes, utilization patterns, geographic conditions and more, Catalyst AI establishes meaningful benchmarks grounded in real operating environments. This process reveals each fleets distinct operational DNA, highlighting performance strengths, uncovering inefficiencies and identifying measurable opportunities for improvement – in real time.
Explore the changing workforce landscape, where new AI roles, skills, and organizational models drive success. Hear best practices on building AI-ready teams capable of overcoming future challenges.
Voya Investments Management Chief Technology Officer, Tatyana Kibrik
Beacon Communities Chief Information and Digital Officer, Prabin Kanel
Graphiant Chief Information Security Officer, Arsalan Khan
(Moderator) Reuters Head of Market Insights, Liam Stoker
Aaron Levie, CEO, Box
(Moderator) Jeffrey Dastin, Technology Reporter, Reuters
This interview is hosted by a Reuters journalist under the Reuters Trust Principles.
A closed-door, candid conversation about the real challenges and opportunities of AI transformation.
Join host Mara Bolis (Founder, First Prompt & Fellow, Berkman Klein Center at Harvard) alongside Christina Lessa (Founder, Blueprints for Arts and Policy), Charu Mehta (AI & Data Global Product), and Abby Vare, (Director of Tech/AI, Capital V Strategies) for an empowering session designed to inspire, connect, and support the next generation of women shaping AI.
Discover how this enterprise leader is unlocking tangible value with Agentic AI by exploring scalable opportunities and navigating challenges in adoption. This session sets the stage for how leaders can separate hype from reality and strategically realize Agentic AI's potential.
Southern Company Chief Technology & Information Officer, Hans Brown
MassMutual (CIO) Head of Enterprise Technology & Experience, Sears Merritt
Novartis Global Head, Data, Digital & IT, US & International, VP, Mary Treacy
ONA Chief Technology Officer & Co-Founder, Christian Weichel
(Moderator) Dr. Eugene Kolker, Co-Founder, SYNCMD and Adjunct Professor, NYU
AI agents act faster than humans can approve. When your AI agent rollouts are enterprise-wide, you're authorizing agents to make billions of decisions per day. Manual security reviews don't just slow you down, they fail. This session explores the solution: when every agent has an identity, you can discover, onboard, and protect them without slowing down rollouts. Move at agentic speed without sacrificing security.
Okta SVP & GM AI Security, Harish Peri
Reuters Events Broadcast Journalist, Richelle Carey
In this session, enterprise executives will present rapid-fire case studies highlighting tangible returns from AI initiatives. Each 10-minute presentation will showcase real-world examples of how organizations achieved measurable business outcomes—such as increased revenue, improved efficiency, and risk mitigation—through strategic AI investments
Navan CTO & Co-Founder, Ilan Twig
A look into whether we can reduce our reliance on general-purpose LLMs in favour of smaller, specialized models (SLMs).
- More Accurate: Delivering higher-quality, more relevant results by focusing on a specific domain.
- Faster & Cheaper: Running efficiently on our own systems, cutting down on API costs and latency.
- More Secure: Keeping all our proprietary data within our own secure environment.
Riviera Partners Chief Revenue Officer, Jack Gage
As AI reshapes how companies build and scale, the pressure to hire the right technical leaders has only grown. In this session, Jack Gage, Chief Revenue Officer at Riviera Partners, will share how Riviera applied AI inside executive search to help recruiters define roles faster, evaluate candidates with more context, and improve placement outcomes.
Target SVP Technology, Brad Thompson
AI is already driving meaningful impact across ecommerce today, from improving how guests discover products to enabling more relevant, personalized experiences.
This session will share practical examples of how AI is delivering results now, transparent learnings from Target's tech journey, and the building blocks required to bring about agentic commerce.
As AI adoption accelerates, trust has become a critical differentiator. In this interview, a senior executive shares how pragmatic governance—covering risk, accountability, and ethics—is enabling faster deployment, stronger stakeholder confidence, and sustained competitive advantage.
Akka CEO, Tyler Jewell
Manulife Global Chief AI Officer, Jodie Wallis
Reuters Events Broadcast Journalist, Richelle Carey
Enterprises are restructuring themselves to deliver AI at scale — shifting decision-making, accountability, workflows and governance. This panel explores a range of emerging operating models, from centralised AI hubs to federated product-led structures. We’ll look at how organisations are redesigning processes, platforms and roles to accelerate AI value.
CBRE Global Chief Digital & Technology Officer, Sandeep Dave
Paramount EVP, Chief Information Officer, Lakshman Nathan
Serval Founder and CEO, Jake Stauch
(Moderator) CUNY School of Professional Studies Academic Director, Arthur O'Connor
These small group sessions, conducted under the Chatham House Rule, are designed to foster candid dialogue and strategic collaboration. Led by a diverse mix of thought leaders, practitioners, and academics, each session is structured as a facilitated workshop with clear objectives, pre-session framing, and post-session takeaways.
Topics:
1) From Pilot to Platform: Playbooks for Scaling Enterprise AI - Brian Rowe, SVP AI/ML Service Line, Marlabs
2) Reliable AI Agents Have a Context Problem - Tyler Hutcherson, AI Applied Engineering - Manager, Redis
3) The Future AI Workforce: Incentives, Accoutability & Culture in an Agentic Era - Dr. Eugene Kolker, Co-Founder, SYNCMD and Adjunct Professor, NYU
4) Healthcare & Life Sciences: Evidence Generation to Personalized Experiences - Dr. Kelly H. Zou, PhD, PStat, FASA, CEO & President, AI4Purpose
5) Designing Your Operating Model: Central Hubs vs Federated Teams - Mario Guerendo, Partner, MLG Ventures
6) De-Risking Agentic AI: The Governance Controls Enterprises Need Now - Pamela Gupta, AI Governance, Advisory & Founder, Trusted AI
7) Change Management: Upskilling and New Structures & Roles in the Era of AI - Fern Halper PhD, VP/Research Director, TDWI
As AI agents become embedded across workflows, enterprises are facing an unexpected challenge: access decisions now outnumber human actions by orders of magnitude. This workshop explores how AI‑driven task velocity is reshaping identity, authorization, and accountability — and how leading enterprises are evolving governance to enable trust, clarity, and scale in machine‑driven workflows.
Okta SVP & GM AI Security, Harish Peri
This hands-on workshop helps leaders move from AI governance theory to practice. Guided by a Credo AI expert, participants will work through key frameworks, common challenges, and cross-functional strategies needed to operationalize governance at scale. Attendees will leave with a clear view of their current state and actionable next steps, including how to align with emerging regulations like the EU AI Act.
Credo AI AI Governance Advisory, Ankita Mohapatra
What will buying look like when AI agents act, negotiate, and transact on our behalf? In this fireside conversation, we explore how agentic commerce is reshaping purchasing decisions, customer journeys, and value chains. Hear what enterprises must do now to prepare for how commerce will work in 2030.
AMEX Global Head of Innovation Luke Gebb
(Moderator) Reuters Events Broadcast Journalist Richelle Carey
How AI’s impact is extending beyond products and valuations into labor decisions, credit and debt markets, capital structure, litigation risk, and systemic exposure, drawing on 2026 Reuters reporting.
Moderator: Megan Davies, U.S. Financial Industry and Markets Editor, Reuters
Speakers:
• Katie Paul, Technology & Social Media Reporter, Reuters
• Jeffrey Dastin, Technology Correspondent & Team Leader, Reuters
• Jody Godoy, Tech Policy & Antitrust Correspondent, Reuters
This Panel is hosted by Reuters journalists under the Reuters Trust Principles.
Conclude the conference with a deep-dive panel discussion looking into the future of the enterprise AI ecosystem. Industry leaders will explore emerging trends, disruptive technologies, and evolving strategies that will shape the next decade of AI transformation.
IHG Hotels & Resorts SVP AI & Architecture, Wei Manfredi
Sanford Health Chief Technology and Digital Officer, Brad Reimer
Boehringer Ingelheim Head of IT/Chief Information Officer, Rajeev Sukumaran
Bank of America Head of Consumer Technology, Chief Information Officer, Tom Ellis
Upscale AI SVP, Product Management & Marketing, Aravind Srikumar
(Moderator) Reuters Events Broadcast Journalist, Richelle Carey
Authentic Brands Group Founder, Chairman, and CEO, Jamie Salter
Reuters Retail Correspondent, Arriana McLymore
This interview is hosted by a Reuters journalist under the Reuters Trust Principles
