Chief AI Officer Fall

DAY 1 Oct. 26
DAY 2 Oct. 27

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7:30AM

Registration & Coffee in the Exhibition Area
8:20AM

Chairperson’s Opening Remarks
8:30AM

Opening Keynote Presentation: AI-Driven, Future-Ready - Accelerating Enterprise Transformation through AI Maturity

Celio Oliveira - Chief Data and AI Officer - GOVERNMENT OF CANADA
- Enhancing customer and employee experiences through intelligent solutions
- Driving sustainable growth by embedding AI into core business strategies
- Fostering a culture of innovation, continuous learning, and AI fluency
- Transforming business outcomes through measurable AI adoption and maturity progression

8:55AM

The Data Leader's Dilemma: Governing What You Can't Fully Control

Panelists:

Kamal Distell, Vice President Enterprise Data – TRAVELERS

Trang Nguyen, Vice President, Data Science – PRUDENTIAL FINANCIAL

Elena Alikhachkina, Chief Data and AI Officer, TE CONNECTIVITY

Achuth Rao, Chief Product Officer & Head of Data & Analytics, AI Products – NEW YORK LIFE INSURANCE COMPANY

Qualytics Moderator

9:20AM

Keynote Presentation: Beyond the Pilot Graveyard, What Actually Separates AI Winners from Everyone Else

Ash Dhupar - Chief AI & Data Officer - HONEYWELL AEROSPACE TECHNOLOGIES
9:45AM

Keynote Presentation: The Architecture Decision That Will Define Your Next Five Years

Manajit Barman - Chief Data Officer - UNITED STATES AIRFORCE

10:10AM

Dirty Data, Broken Promises: The Unglamorous Work That Makes AI Actually FunctionPanelists:

Erin Fidyk, Director Oncology Enterprise Data Science – JOHNSON & JOHNSON

Khizar Hayat, Chief Data Officer & Chief Operating Officer, DAKOTA

Moshmi Sanagavarapu, SVP Group Director, Data Analytics, OMNICOM-IPG MEDIABRANDS

Yogesh Bhardwaj, Sr. Director GSO Business Partner, Data & IT Shared Services, SENSATA

Capegemini/WNS Moderator

10:40AM

Networking Break in the Exhibition Area
11:10AM

Spotlight Session
11:20AM

Keynote Presentation: Decisions at Machine Speed - Putting Analytics where the Action is

11:45AM

The Agentic Leap: From AI that Advises to AI that Acts

We spent three years building AI that helps humans decide. We are now building AI that decides and acts on its own. That demands a fundamentally different kind of thinking. Are organizations ready for it?
Over 70% of enterprises are using agentic AI in some form, but fewer than 20% have a governance model designed for autonomous agents. What does closing that gap require?
Agentic systems fail differently from traditional software. They can fail silently, gracefully, and in cascading chains. How are organizations building the observability and intervention capabilities they need?
At what point does an agentic AI system warrant the same level of scrutiny and validation as a human being given significant business authority?

Panelists:

Ravinath Kausik, Vice President, Data Science, AI and Analytics – THE HARTFORD

Tasneem Nipplewala, Head of Data, Cyber and AI Enterprise Architecture – MASSMUTUAL

Sakat Sankhla, Business Transformation & Product Leader, Modular Data Center for NAM – SCHNEIDER ELECTRIC

Celio Oliveira, Chief Data and AI Officer, FINANCE CANADA (GOVERNMENT OF CANADA)

Ewa Kozlowska, Senior Vice President, Treasury and Trade Solutions - Global In-Business Product Risk – CITI BANK

Mohan Krishna Rayapuvari, Sr Director AI & Machine Learning, MANULIFE

Moderation Reserved for Perforce

12:15PM

From Governance to Velocity: Why Enterprise AI Succeeds or Fails on Internal Alignment, Not Technology

Aiswarya (Ammu) Menon, Chief Data & AI Officer – NYC HEALTH + HOSPITALS

Amritha ArunBabu Mysore, Head of Product – Marketing and AI – STAPLES

David Krauza, Vice President, Enterprise Data Strategy, Products, and Governance – COMCAST

Nirav Parikh, Head of Enterprise Data and AI – MASS GENERAL BRIGHAM HEALTHCARE

Moderator: Taige Eoff, Go to Market Data Practice Lead, Google Cloud – GOOGLE

12:45PM

Lunch & Networking Break in the Exhibition Area
TRACK A: LEADERSHIP

1:45PM

Discussion Group: The CDAO as Change Agent: Leading Transformation When the Organization Isn't Ready

Duyum Ryan, Finance Chief Operating Officer & SVP (Finance Data Strategy), THE CIGNA GROUP

Frederique De Letter, Head of Data Analytics & AI – PLANTE MORAN

Fariha Chaudry, Head of Engineering M&A – GE HEALTHCARE

Data AI Literacy

2:15PM

Track Panel Discussion: From Data Movement to Data Momentum: Rethinking Integration in an AI-First World

Richard Inserro, Director, Data Governance, Standards, and Assurance – MERCK

Aaron Chang, Director, Head of Data Science, Disease Area X – NOVARTIS

Aidar Kadess, Sr Director, Data and AI Governance – CLEAN HARBORS

Anu Sundaram, Vice President Business Analytics – RUE GILT GROUPE

2:45PM

Track Presentation: Data Without Delays: The Business Impact of Self-Service Analytics
3:15PM

Track Presentation: Measuring What Matters: Building an AI ROI Framework That Actually Holds Up to Scrutiny
TRACK B: FINANCIAL SERVICES & CHIEF AI OFFICER
1:45PM

Discussion Group: The Model Risk Conversation Nobody in Financial Services Wants to Have Out Loud

Al Yazdani, Senior Vice President, Data Science & Applied Ai, Investor & Issuer Services – CITI BANK

Mitch Holt, AVP – Head of Data & Analytics, Pet Insurance – METLIFE
2:15PM

Track Panel Discussion: From Insight to Action: Turning Financial Services Analytics into Business Impact:

Bill Carey, Managing Director, Client Analytics, Commercial Insurance Risk Control Services – LIBERTY MUTUAL INSURANCE

2:45PM

Track Presentation: From AI Vision to Business Value - Aligning Strategy, Technology, and Data End-to-End

Sathish Balasubramanian - Vice President, Head of Enterprise Data, Analytics, GRC, Artificial Intelligence & Machine Learning - BRIGHT HORIZONS

What does a successful transition from AI vision to measurable business value look like?
Which business objectives should be prioritized when defining an AI strategy?
How can organizations ensure alignment between business strategies, technology investments, and data capabilities?
What are the key enablers of successful end-to-end AI transformation?

3:15PM

Track Presentation: The Power of your AI Consumption Data: An Evidence-based Approach to Security, Governance, and ROI

Neil Cohen - Vice President, Marketing - PORTAL26

Every time a human or an agent uses AI in your organization it creates a treasure trove of valuable signal. Be it risk, innovation, use cases, business objectives, spend, ROI — visibility into your AI consumption data creates an evidence-based approach to successfully guide you to a secure and well-governed AI program that delivers on productivity and ROI. In this session you will hear first hand how one company, lead by an AI-skeptic, leveraged full visibility into their AI consumption to create a winning program.

Neil Cohen, Vice President, Marketing,
PORTAL26

Christopher Hippensteel, Director of Information Technology/CISO,

NEW RESOURCES CONSULTING

3:45PM

Networking Break in the Exhibition Area
TRACK A: LEADERSHIP
4:15PM

Regulation is Coming Whether You're Ready or Not: Building AI Governance that Doesn't Break the Business

Panelists:

Colleen Tartow, Senior Director, Enterprise Data Engineering, CAPITAL ONE

Theodora Skeadas, Trust and Safety Policy Manager – DOORDASH

4:45PM

Keynote Presentation: Ensuring Trust, Integrity, and Reliability in AI-Powered Organizations

Sreedhar Sistu - Vice President, AI Offers - SCHNEIDER ELECTRIC

How to establish clear AI governance frameworks to define accountability, oversight, and decision rights?
How to ensure data integrity and quality through standardized data management and validation processes?
How to implement ethical AI principles covering fairness, transparency, and accountability?
How to design explainable AI systems that build user trust and support decision-making?
How to mitigate bias and unintended outcomes through continuous testing and monitoring?

5:15PM

Keynote Presentation: Human in the Loop is not a Strategy - Rethinking Oversight for Systems that Move Faster than People Do

Besa Bauta - (Former Chief Information Officer) Assistant Professor - NYU
TRACK B: CHIEF AI OFFICER

4:15PM

Aligning AI Initiatives with Business Priorities: A Framework for Impact

Identifying high-impact AI use cases that address real business challenges
Linking AI initiatives to key performance indicators such as revenue, cost reduction, and productivity
Assessing data readiness by ensuring quality, accessibility, and governance
Evaluating technical and organizational capabilities to support AI delivery

Panelists:

Lauren (Liutong) Li, Executive Director, Head of AI & Innovation Product Strategy, NOVARTIS

Sreedhar Sistu, Vice President, AI Offers, SCHNEIDER ELECTRIC

Lily Li, Head of AI Adoption and Solutions, FRANKLIN TEMPLETON

4:45PM

Inside Successful AI Leadership: What sets High-Impact CAIOs apart?

Defining a clear AI vision aligned with business strategy and measurable outcomes
Building cross-functional collaboration between business, IT, data, and risk teams
Embedding responsible AI principles into every stage of the lifecycle
Prioritizing high-impact use cases that deliver tangible value quickly
Establishing strong governance frameworks without slowing innovation
Investing in talent development and fostering an AI-driven culture

Panelists:

Biswa Sengupta PhD, Chief AI Technologist: LLM Suite (CDAO), JPMORGAN CHASE & CO

Haroon Abbu, Senior Vice President, Digital Technology, AI & Data Analytics & CDAIO, BELL AND HOWELL

5:15PM

Keynote Presentation: Redefining the AI–Business Relationship – Are CAIOs prepared to Lead?

Anitha Sivasubramanian - Chief AI Officer - LYCA GROUP

Managing the evolution of the CAIO role from technology advocate to business strategist
Preparing organizations for an AI-first future through leadership, governance, and operating-model transformation
Evaluating whether today's CAIOs are ready to lead the next phase of enterprise AI transformation

5:50PM

Networking Drinks Reception

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8:00AM

Registration & Coffee in the Exhibition Area
8:45AM

Chairperson’s Opening Remarks
9:00AM

Driving Accountability in AI: Defining Success Metrics and Governance Models
- How has the definition of “accountability in AI” evolved in the past few years?
- What does “success” look like for AI beyond model accuracy?
- What leading indicators should organizations track to ensure AI initiatives are on the right path?
- How are organizations preparing for evolving regulatory requirements around AI?
Panelists:

Ramesh Natarajan, Head - GenAI/ML Solutions, DAIICHI SANKYO US

Prashant Singh Tewatia, Vice President, JPMORGAN CHASE & CO
9:30AM

Opening Keynote Presentation: AI Readiness Starts with Foundations - Data, Governance, and Model Trustworthiness
- Which data quality challenges pose the greatest risk to AI success?
- Where do data silos limit visibility, insights, or innovation?
- Who owns accountability for AI-related decisions and outcomes?
- How important is explainability for business-critical AI decisions?
10:00AM

Keynote Presentation: Agentic AI Strategy - Balancing Cost, Performance, Autonomy, and Control

Ramesh Natarajan - Head - GenAI/ML Solutions - DAIICHI SANKYO US
- Optimizing cost structures by balancing compute intensity, model complexity, and usage patterns
- Prioritizing performance through rigorous evaluation of accuracy, latency, and scalability
- Designing autonomous systems that can act independently while respecting defined boundaries
- Establishing control mechanisms to govern agent behavior, decision rights, and escalation paths
10:25AM

Keynote Presentation: AI Governance in a Regulated Environment - How a Large Healthcare and Research Institution Actually Governs Enterprise AI Adoption and Clinical Data Sharing — The Policy, Licensing, and Data-governance Mechanics Behind Putting AI into Production Responsibly

Monica Jang, JD, CLP - Associate Director of Artificial Intelligence Innovation and Data Strategy - BOSTON CHILDREN’S HOSPITAL
- How is AI governance formally structured across clinical, research, legal, compliance, privacy, and IT functions?
- How often are AI governance policies reviewed and updated as technology evolves?
- What governance principles determine whether specific datasets can be used for AI development?
10:45AM

Networking Break in the Exhibition Area
11:15AM

Responsible AI: Balancing Innovation with Ethics, Privacy, and Regulation
- Promoting innovation while ensuring ethical AI development and deployment
- Balancing technological advancement with privacy protection and data security
- Navigating evolving regulatory requirements across global markets
- Mitigating bias and enhancing fairness in AI models and decision-making
11:45AM

Keynote Presentation: Closing the Strategy-Execution Gap with AI, Analytics, and Agentic Systems

Lily Li - Head of AI Adoption and Solutions - FRANKLIN TEMPLETON
- What are the biggest barriers to operationalizing AI and analytics at scale?
- How do you ensure AI-generated recommendations are acted upon rather than ignored?
- What organizational changes are required to embed AI into day-to-day execution?
- How do you break down silos between strategy, operations, technology, and business teams?
12:05PM

Keynote Presentation: AI Innovation at Scale - Balancing Opportunity with Risk Management

Yousuf Khatib - Chief AI Strategy Officer - VANTAGE FINANCIAL ALLIANCE
- Unlocking AI-driven growth while maintaining strategic and operational control
- Establishing governance and risk frameworks that enable innovation at scale
- Managing security, compliance, and regulatory challenges in a rapidly evolving landscape
- Building trust through responsible AI practices and transparent decision-making
12:25PM

Lunch and Networking Break in the Exhibition Area
1:25PM

AI: What's Next? Hype Cycle to Hard Reality

AI is expensive, operationally complex, and increasingly impossible to justify as a blanket investment strategy. As organisations move from experimentation to scale, the real constraint is no longer ambition, it's prioritization, cost discipline, and deciding what not to do.
• If AI is not cheap to build or run, what use cases should simply be stopped, even if they look innovative?
• Are organizations being honest about ROI, or are they subsidizing experimentation under the label of transformation?
• Who should have the authority to shut down AI initiatives that don't deliver measurable impact — the CDAO, CAIO, or the business?

Panelists:

Yvonne Li, Chief AI and Data Officer, STARR INSURANCE

Amin Assareh, Vice President, Data Science, FIDELITY INVESTMENTS

Mitch Holt, AVP – Head of Data & Analytics, Pet Insurance, METLIFE
1:55PM

Keynote Presentation: What the Next Generation of Data Leaders Actually Needs That We Are Not Teaching Them

Meghan Barrett Welch - Chief Data Officer - MASSACHUSETTS EXECUTIVE OFFICE OF ENERGY AND ENVIRONMENTAL AFFAIRS 
- The pipeline of future data and AI leadership talent is real but incomplete. What are the gaps between how organisations are developing the next generation of data leaders and what those leaders are actually going to need?
- Technical excellence gets people into senior data roles. It is rarely what determines whether they succeed once they get there. What are the non-technical capabilities that make the difference?
- Mentorship, sponsorship, and deliberate career architecture for data talent are all underinvested relative to their impact. What do organisations that do this well look like?
- What is the one thing you wish someone had told you earlier in your career that would have meaningfully changed your trajectory as a data leader?
2:15PM

Keynote Presentation: From AI Strategy to Enterprise Execution - Prioritizing What to Automate, What to Augment, and What to Leave Alone

Ravi S. Chaudhary - VP - Intelligent Automation / AI Strategy - WATTS WATER TECHNOLOGIES
- How to prioritize AI use cases across the enterprise without chasing every new capability
- Where AI adds genuine value versus where traditional automation may be faster, safer, or more cost-effective
- How to turn AI strategy into execution across teams, processes, and business units
- What leaders need to consider when balancing innovation, risk, governance, and operational readiness
2:35PM

The New Power Couple: How the CDAO and CAIO Have to Work Together or Watch Everything Fall Apart
- The CDAO and CAIO roles were created to solve different problems but are increasingly inseparable in practice. Where does the real friction between these functions live, and how are organizations resolving it before it becomes a structural problem?
- Data strategy and AI strategy are often developed separately and then expected to align. How do you build genuine joint ownership of the decisions that sit at the boundary?
- The reporting line for CDAO and CAIO functions varies enormously across organizations. How much does structure matter versus the quality of the working relationship between the people in those seats?
- What are the decisions that look like CDAO decisions or CAIO decisions but are actually only good decisions when both functions are genuinely in the room together?
3:05PM

Networking Break in the Exhibition Area
3:35PM

Keynote Presentation

David Krauza - Vice President, Enterprise Data Strategy, Products, and Governance - COMCAST
4:05PM

The Future is Unevenly Distributed: Where Enterprise Data and AI goes from Here
- The gap between AI leaders and AI laggards is widening faster than most people anticipated. What happens to the organizations that are still in early stages of their data and AI journey as the leaders pull further ahead?
- Agentic AI, multimodal models, and real-time decision intelligence are converging into something that looks qualitatively different from the AI landscape of two years ago. How should data and AI leaders be positioning their organizations for what comes next?
- The pace of change in foundational AI capability is forcing organizations to make architectural and strategic bets on platforms and approaches that may look very different in 18 months. How do you make durable decisions in an environment that keeps shifting underneath you?
- If you had to bet on the two or three developments in data and AI that will most significantly change how enterprise organizations operate in the next three years, what would they be?
4:25PM

END OF CONFERENCE

CAIO Fall schedule

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