Developed in collaboration with Harvard, this exclusive executive learning experience transforms Momentum AI from a conference into a structured leadership journey. Participants will begin with a dedicated masterclass and receive a practical framework for navigating AI transformation, helping them connect insights from keynotes, workshops and peer discussions throughout the event. The experience is designed to provide not only knowledge, but actionable recommendations that attendees can take back to their organisations. Participants will leave with a recognised certificate of completion, a shared learning framework, and a carefully curated network of peers to continue exchanging ideas with long after the event.
The experimentation era is over. This opening keynote confronts the hard realities enterprises now face as AI moves from promise to performance — rising costs, stalled adoption, fragile governance, and board-level scrutiny. Learn what separates organizations that are scaling durable AI advantage from those stuck managing technical debt, organizational friction, and unmet expectations.
As gains in productivity become a commodity, the real competitive advantage will be dictated by how you evolve your relationships to your customers. This conversation looks at what that evolution actually looks like inside the organizations pulling ahead — not faster tools, but closer decisions, sharper instincts, and teams built to act the moment customers needs them to. The question isn't who has the best AI. It's who rebuilt roles, decision-making, and the way the whole organization moves together fast enough to keep up.
Jess Jarvis, Principal, ZS
Most AI initiatives never make it past the pilot stage. This executive panel goes inside the organizations that broke the cycle — revealing how they aligned technology, governance, talent, and incentives to move AI into production at scale. Walk away with concrete lessons on what to double down on, what to shut down, and how to turn early experiments into repeatable enterprise impact.Â
Nikhil Sudan, Chief Strategy & Innovation Officer, Charles Schwab
Ganesh Jayaramakrishnan, EVP & Chief Information Officer, UnitedHealth Group
Dave Duvall, CIO, Warner Bros
Linda Ray, CIO, AbbVie
Moderator: Shreyas Murthi, Principal, ZS
Enterprise AI has a blind spot: it can process any amount of data, but it can't reason about the physical world. Customers, assets, risk, and growth don't live in a spreadsheet — they live somewhere. When AI ignores that, decisions look correct on paper and fail in the field. This conversation looks at what it takes to close that blind spot — and why doing so is the difference between AI that reports on the business and AI that can act on it.
Brian Cross, Corporate Director, Esri
As AI becomes central to enterprise strategy, leadership — not technology — is now the primary constraint on scale. This session examines how senior leaders are clarifying ownership, funding, and accountability for AI, and how decisive executive mandates are replacing fragmented sponsorship across the C-suite.
Allen Bates, SVP, Chief Digital & Information Officer, Personal Care North America, Unilever
Jena Holtberg-Benge, Chief Digital & Information Officer, AGCO
Sriram Thiagarajan, EVP & Chief Technology Officer, Ancestry
Moderator - Kyle Langworthy, Partner and Head of AI, ML & Data Practise, Riviera Partners
Get the governance architecture that makes enterprise scale AIÂ viable, from policy as code to real time oversight and walk away with a blueprint that accelerates deployment while keeping your board, legal and security teams aligned.
Chintan Mehta, CIO, Wells Fargo
Christopher Sestito, CEO & Co-Founder, HiddenLayer
Moderator - Caleb Max, President, NAIA
[Blue Stage] Building an AI-Ready Workforce: What 20,000 Employees Taught Principal About AI Literacy
Buying the tool was the easy part — the harder challenge is building a workforce that actually knows how to use it. This fireside chat looks at how Principal made AI literacy a company-wide priority in 2025, upskilling over 90% of its 20,000 employees, and what's next as that foundation turns into lasting adoption.
Rajesh Arora, Chief Data & Analytics Officer, Principal Financial Group
AI is changing how organizations create value, but it's also changing how they consume it. As enterprises scale AI adoption, tokens are emerging as a new unit of economic measurement, directly linking usage, cost, and business outcomes.
This session explores the rise of AI tokenomics and what it means for executive decision-makers. From budgeting and governance to workforce productivity and ROI, leaders must understand how token consumption impacts operating models, investment strategies, and competitive advantage. The organizations that master the economics of AI will be best positioned to scale innovation while maintaining financial discipline.
Key themes:
• The relationship between AI usage, token consumption, and enterprise spend
• Balancing innovation with cost governance
• Measuring AI ROI beyond productivity metrics
• How AI economics will reshape technology and workforce investment decisions
Swami Chandrasekaran, Head of AI and Data Labs, KPMG
The customer journey is changing fast. As AI agents increasingly search, compare, recommend and purchase on behalf of users, businesses must rethink how they market, sell and build products. This session explores what it takes to compete when AI is no longer just powering the experience — it's actively shaping purchasing decisions and influencing revenue growth.
Christina Vallery, Chief Desing Officer, Cigna Group
Mike Krug, Director of Product, unitQ
Moderato: Nikita Sachdev, CEO, Luna PR
Last year, the big questions were around what could be put in an LLM and how to get people prompting safely. Things have now changed. Fast.
Join Section's Head of AI, Michael Domanic for a deep dive on the subjects you'll need a strategic answer to next. He'll tackle questions like:
· Do you have an AI strategy, or just a bunch of AI projects?
· Are your people more capable with AI, or just a bit more productive?
· It's been 12+ months now - where is the ROI?
You'll leave with a framework for the questions your board is asking
Michael Dominic, Head of AI, Section AI
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.
Kristine Lee, Chief Transformation Officer, The Permanente Medical Group
AI investment is accelerating. Compute costs are compounding. Agents execute continuously and file no status updates. Most enterprises know they are spending on AI — but not where it's going, and not whether it's moving the right strategy forward. That's not a visibility problem. It's a decision problem. That gap is where strategic drift compounds. What the next generation of SPM tools needs to deliver — and what organizational decision-making looks like when strategy and execution are finally in the same loop.
Kevin Nanney, Chief Product Officer, Tempo
Focus on the AI use cases that are already paying off, including customer engagement, supply chain optimisation, and frontline productivity. Invest in the initiatives that genuinely move revenue, margins, and efficiency right now.
Anthony Moisant, CIO & Chief Security Officer, Indeed
Bala Vaidyanathan, VP Lead for Data and AI, FedEx
Abhijit Dasgupta, SVP Global Demand Digital, Data & Analytics, Mars Snacking | CDIO, Mars Retail Group
Moderator - Eva Chalioti PhD, Senior Lecturer in Economics II, Yale University
[Main Stage] Leading Through the Shift: What Change Management Actually Looks Like Inside a Fortune 500
A thought-provoking perspective on what it takes to move an entire organization through AI-driven change — where resistance actually comes from, and what leadership has to do differently than it did five years ago.
Tandra Perkins, Executive Vice President, Chief Digital and Administrative Officer, Phillips 66
[Blue Stage] You Can't Automate a Broken Process: Rebuilding Trusted Workflows for an AI-First Enterprise
Most organisations are accelerating AI adoption without rethinking the workflows, controls and decision points that underpin them. This session explores how leaders are redesigning core processes, governance models and human oversight mechanisms to build AI-enabled workflows that are scalable, accountable and trusted.
Michael Friedlander, CIO, Magnum Ice Cream
Suzanna Fowler, AVP, National Operations, AT&T
Nuray Yurt, AVP, Digital & Analytics Strategy, Merck
Most AI investment in customer experience has gone into automation customers barely notice — faster routing, more self-service, shorter tickets. Far less has gone into the AI that actually grows the relationship: turning a support call into a renewal, an upsell, or a saved account. Latané Conant argues that's the bigger opportunity most enterprises are sitting on and underusing. This conversation tests that claim — where the growth actually sits inside customer conversations today, what's stopping most companies from capturing it, and whether closing that gap is a CX initiative or a commercial bet most boards haven't sized yet.
Lantane Conant, Chief Marketing Officer, Parloa
Every AI initiative competes for capital, compute and talent. Learn how leading enterprises are balancing innovation with cost control, managing the rising expense of models and infrastructure, and building operating models that turn AI investment into long-term business impact.
Travis Nixon, Chief Data & AI Officer, Dollar General
Kim Hales, Chief Data & AI Officer, NRG
Braden Holstege, Vice President - Enterprise AI, Mercor
Moderator – Jeff McMillian, CEO, McMillian AI
Every AI initiative competes for the same finite resource enterprises have always struggled to plan around — people's time. As AI reshapes what teams can deliver and how fast, portfolio and capacity planning built for a pre-AI world are quietly breaking. This session looks at what it takes to plan, resource, and govern AI work at enterprise scale — before the gap between roadmap and reality becomes the real cost of AI.
Kabir Nagrecha, Co-founder and CEO, Tessera Labs
Developed in collaboration with Harvard, this exclusive executive learning experience transforms Momentum AI from a conference into a structured leadership journey. Participants will begin with a dedicated masterclass and receive a practical framework for navigating AI transformation, helping them connect insights from keynotes, workshops and peer discussions throughout the event. The experience is designed to provide not only knowledge, but actionable recommendations that attendees can take back to their organisations. Participants will leave with a recognised certificate of completion, a shared learning framework, and a carefully curated network of peers to continue exchanging ideas with long after the event.
The experimentation era is over. This opening keynote confronts the hard realities enterprises now face as AI moves from promise to performance — rising costs, stalled adoption, fragile governance, and board-level scrutiny. Learn what separates organizations that are scaling durable AI advantage from those stuck managing technical debt, organizational friction, and unmet expectations.
As gains in productivity become a commodity, the real competitive advantage will be dictated by how you evolve your relationships to your customers. This conversation looks at what that evolution actually looks like inside the organizations pulling ahead — not faster tools, but closer decisions, sharper instincts, and teams built to act the moment customers needs them to. The question isn't who has the best AI. It's who rebuilt roles, decision-making, and the way the whole organization moves together fast enough to keep up.
Jess Jarvis, Principal, ZS
Most AI initiatives never make it past the pilot stage. This executive panel goes inside the organizations that broke the cycle — revealing how they aligned technology, governance, talent, and incentives to move AI into production at scale. Walk away with concrete lessons on what to double down on, what to shut down, and how to turn early experiments into repeatable enterprise impact.Â
Nikhil Sudan, Chief Strategy & Innovation Officer, Charles Schwab
Ganesh Jayaramakrishnan, EVP & Chief Information Officer, UnitedHealth Group
Dave Duvall, CIO, Warner Bros
Linda Ray, CIO, AbbVie
Moderator: Shreyas Murthi, Principal, ZS
Enterprise AI has a blind spot: it can process any amount of data, but it can't reason about the physical world. Customers, assets, risk, and growth don't live in a spreadsheet — they live somewhere. When AI ignores that, decisions look correct on paper and fail in the field. This conversation looks at what it takes to close that blind spot — and why doing so is the difference between AI that reports on the business and AI that can act on it.
Brian Cross, Corporate Director, Esri
AI investment is accelerating. Compute costs are compounding. Agents execute continuously and file no status updates. Most enterprises know they are spending on AI — but not where it's going, and not whether it's moving the right strategy forward. That's not a visibility problem. It's a decision problem. That gap is where strategic drift compounds. What the next generation of SPM tools needs to deliver — and what organizational decision-making looks like when strategy and execution are finally in the same loop.
Kevin Nanney, Chief Product Officer, Tempo
Focus on the AI use cases that are already paying off, including customer engagement, supply chain optimisation, and frontline productivity. Invest in the initiatives that genuinely move revenue, margins, and efficiency right now.
Anthony Moisant, CIO & Chief Security Officer, Indeed
Bala Vaidyanathan, VP Lead for Data and AI, FedEx
Abhijit Dasgupta, SVP Global Demand Digital, Data & Analytics, Mars Snacking | CDIO, Mars Retail Group
Moderator - Eva Chalioti PhD, Senior Lecturer in Economics II, Yale University
Every AI initiative competes for the same finite resource enterprises have always struggled to plan around — people's time. As AI reshapes what teams can deliver and how fast, portfolio and capacity planning built for a pre-AI world are quietly breaking. This session looks at what it takes to plan, resource, and govern AI work at enterprise scale — before the gap between roadmap and reality becomes the real cost of AI.
Kabir Nagrecha, Co-founder and CEO, Tessera Labs
Get the governance architecture that makes enterprise scale AIÂ viable, from policy as code to real time oversight and walk away with a blueprint that accelerates deployment while keeping your board, legal and security teams aligned.
Chintan Mehta, CIO, Wells Fargo
Christopher Sestito, CEO & Co-Founder, HiddenLayer
Moderator - Caleb Max, President, NAIA
AI is changing how organizations create value, but it's also changing how they consume it. As enterprises scale AI adoption, tokens are emerging as a new unit of economic measurement, directly linking usage, cost, and business outcomes.
This session explores the rise of AI tokenomics and what it means for executive decision-makers. From budgeting and governance to workforce productivity and ROI, leaders must understand how token consumption impacts operating models, investment strategies, and competitive advantage. The organizations that master the economics of AI will be best positioned to scale innovation while maintaining financial discipline.
Key themes:
• The relationship between AI usage, token consumption, and enterprise spend
• Balancing innovation with cost governance
• Measuring AI ROI beyond productivity metrics
• How AI economics will reshape technology and workforce investment decisions
Swami Chandrasekaran, Head of AI and Data Labs, KPMG
Last year, the big questions were around what could be put in an LLM and how to get people prompting safely. Things have now changed. Fast.
Join Section's Head of AI, Michael Domanic for a deep dive on the subjects you'll need a strategic answer to next. He'll tackle questions like:
· Do you have an AI strategy, or just a bunch of AI projects?
· Are your people more capable with AI, or just a bit more productive?
· It's been 12+ months now - where is the ROI?
You'll leave with a framework for the questions your board is asking
Michael Dominic, Head of AI, Section AI
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.
Kristine Lee, Chief Transformation Officer, The Permanente Medical Group
[Main Stage] Leading Through the Shift: What Change Management Actually Looks Like Inside a Fortune 500
A thought-provoking perspective on what it takes to move an entire organization through AI-driven change — where resistance actually comes from, and what leadership has to do differently than it did five years ago.
Tandra Perkins, Executive Vice President, Chief Digital and Administrative Officer, Phillips 66
Most AI investment in customer experience has gone into automation customers barely notice — faster routing, more self-service, shorter tickets. Far less has gone into the AI that actually grows the relationship: turning a support call into a renewal, an upsell, or a saved account. Latané Conant argues that's the bigger opportunity most enterprises are sitting on and underusing. This conversation tests that claim — where the growth actually sits inside customer conversations today, what's stopping most companies from capturing it, and whether closing that gap is a CX initiative or a commercial bet most boards haven't sized yet.
Lantane Conant, Chief Marketing Officer, Parloa
Every AI initiative competes for capital, compute and talent. Learn how leading enterprises are balancing innovation with cost control, managing the rising expense of models and infrastructure, and building operating models that turn AI investment into long-term business impact.
Travis Nixon, Chief Data & AI Officer, Dollar General
Kim Hales, Chief Data & AI Officer, NRG
Braden Holstege, Vice President - Enterprise AI, Mercor
Moderator – Jeff McMillian, CEO, McMillian AI
Get the governance architecture that makes enterprise scale AIÂ viable, from policy as code to real time oversight and walk away with a blueprint that accelerates deployment while keeping your board, legal and security teams aligned.
Chintan Mehta, CIO, Wells Fargo
Christopher Sestito, CEO & Co-Founder, HiddenLayer
Moderator - Caleb Max, President, NAIA
AI is changing how organizations create value, but it's also changing how they consume it. As enterprises scale AI adoption, tokens are emerging as a new unit of economic measurement, directly linking usage, cost, and business outcomes.
This session explores the rise of AI tokenomics and what it means for executive decision-makers. From budgeting and governance to workforce productivity and ROI, leaders must understand how token consumption impacts operating models, investment strategies, and competitive advantage. The organizations that master the economics of AI will be best positioned to scale innovation while maintaining financial discipline.
Key themes:
• The relationship between AI usage, token consumption, and enterprise spend
• Balancing innovation with cost governance
• Measuring AI ROI beyond productivity metrics
• How AI economics will reshape technology and workforce investment decisions
Swami Chandrasekaran, Head of AI and Data Labs, KPMG
[Blue Stage] You Can't Automate a Broken Process: Rebuilding Trusted Workflows for an AI-First Enterprise
Most organisations are accelerating AI adoption without rethinking the workflows, controls and decision points that underpin them. This session explores how leaders are redesigning core processes, governance models and human oversight mechanisms to build AI-enabled workflows that are scalable, accountable and trusted.
Michael Friedlander, CIO, Magnum Ice Cream
Suzanna Fowler, AVP, National Operations, AT&T
Nuray Yurt, AVP, Digital & Analytics Strategy, Merck
As AI becomes central to enterprise strategy, leadership — not technology — is now the primary constraint on scale. This session examines how senior leaders are clarifying ownership, funding, and accountability for AI, and how decisive executive mandates are replacing fragmented sponsorship across the C-suite.
Allen Bates, SVP, Chief Digital & Information Officer, Personal Care North America, Unilever
Jena Holtberg-Benge, Chief Digital & Information Officer, AGCO
Sriram Thiagarajan, EVP & Chief Technology Officer, Ancestry
Moderator - Kyle Langworthy, Partner and Head of AI, ML & Data Practise, Riviera Partners
[Blue Stage] Building an AI-Ready Workforce: What 20,000 Employees Taught Principal About AI Literacy
Buying the tool was the easy part — the harder challenge is building a workforce that actually knows how to use it. This fireside chat looks at how Principal made AI literacy a company-wide priority in 2025, upskilling over 90% of its 20,000 employees, and what's next as that foundation turns into lasting adoption.
Rajesh Arora, Chief Data & Analytics Officer, Principal Financial Group
Last year, the big questions were around what could be put in an LLM and how to get people prompting safely. Things have now changed. Fast.
Join Section's Head of AI, Michael Domanic for a deep dive on the subjects you'll need a strategic answer to next. He'll tackle questions like:
· Do you have an AI strategy, or just a bunch of AI projects?
· Are your people more capable with AI, or just a bit more productive?
· It's been 12+ months now - where is the ROI?
You'll leave with a framework for the questions your board is asking
Michael Dominic, Head of AI, Section AI
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.
Kristine Lee, Chief Transformation Officer, The Permanente Medical Group
The customer journey is changing fast. As AI agents increasingly search, compare, recommend and purchase on behalf of users, businesses must rethink how they market, sell and build products. This session explores what it takes to compete when AI is no longer just powering the experience — it's actively shaping purchasing decisions and influencing revenue growth.
Christina Vallery, Chief Desing Officer, Cigna Group
Mike Krug, Director of Product, unitQ
Moderato: Nikita Sachdev, CEO, Luna PR
[Main Stage] Leading Through the Shift: What Change Management Actually Looks Like Inside a Fortune 500
A thought-provoking perspective on what it takes to move an entire organization through AI-driven change — where resistance actually comes from, and what leadership has to do differently than it did five years ago.
Tandra Perkins, Executive Vice President, Chief Digital and Administrative Officer, Phillips 66
Most AI investment in customer experience has gone into automation customers barely notice — faster routing, more self-service, shorter tickets. Far less has gone into the AI that actually grows the relationship: turning a support call into a renewal, an upsell, or a saved account. Latané Conant argues that's the bigger opportunity most enterprises are sitting on and underusing. This conversation tests that claim — where the growth actually sits inside customer conversations today, what's stopping most companies from capturing it, and whether closing that gap is a CX initiative or a commercial bet most boards haven't sized yet.
Lantane Conant, Chief Marketing Officer, Parloa
Every AI initiative competes for capital, compute and talent. Learn how leading enterprises are balancing innovation with cost control, managing the rising expense of models and infrastructure, and building operating models that turn AI investment into long-term business impact.
Travis Nixon, Chief Data & AI Officer, Dollar General
Kim Hales, Chief Data & AI Officer, NRG
Braden Holstege, Vice President - Enterprise AI, Mercor
Moderator – Jeff McMillian, CEO, McMillian AI
