Friday, 30 January 2026
@Ease 605, Oasis Assembly
100+
CIOs and enterprise AI leaders and decision makers
Celebrating excellence in data & AI leadership.
Chief Data Analytics Officer
U.S. Army CECOM SEC
Head, Enterprise Data, Analytics, & AI
IFF
CTO
Nokia
Chief Tech, Data, Digital & Innovation Officer
Sodexo
Executive Vice President, Chief Analytics Officer
Radian
Vice President, Enterprise Digital Solutions (Data, Digital & AI)
Genmab
Global Head - Enterprise AI & Technology Products - Executive Director
Alcon
SVP Strategy and Analytics
Royalty Pharma
Managing Director, AI Adoption, Finance Transformation, Engineering CoE & Investment Technology
Nuveen
Chief Data & Analytics Officer
CheckedUp
Chief Data Officer and Senior Vice President (AI Data Engineering)
The Hartford
Chief Data and Analytics Officer
Scotiabank
A live read of the executives confirmed — from their professional profiles.
Meet the CIOs and enterprise AI leaders joining us at this event.
Leaders who have already been part of the Vision journey, including previous editions in this city.
Introduce the CDO Vision Series, its core objectives, and the key themes driving the day's strategic discussions.
This talk explores how leaders can bridge generational divides, amplify inclusion, and shape a workplace where every voice matters. When we move from multi-generational to multi-mindset, the future of work becomes not just collaborative but truly collective. The Future of work won’t be built by one generation, it will be conducted where every voice counts!
As AI becomes central to business transformation, its direction is increasingly being shaped in the boardroom. No longer just a technology initiative, AI strategy now sits at the intersection of leadership, culture, and enterprise vision. This discussion will explore how CEOs, CDOs, and CIOs can align on defining AI priorities, balancing innovation with governance, and ensuring measurable business outcomes. The panel will also examine how executive collaboration can bridge the gap between experimentation and enterprise-wide adoption—turning AI from a tool into a core driver of competitive advantage.
Tsvi Gal
Memorial Sloan Kettering Cancer Center
Douglas Hegley
The Metropolitan Museum of Art
Mikhail Lisovich
Redwood Logistics
David Fapohunda
Barclays
Henry Tirri
Nokia
Tsvi Gal
CTO & Head of Enterprise Technology Services
Memorial Sloan Kettering Cancer Center
Douglas Hegley
Chief Digital Officer
The Metropolitan Museum of Art
Mikhail Lisovich
Chief Data Officer
Redwood Logistics
David Fapohunda
Managing Director – Operations Strategy, Transformation, Data Science & Analytics, and Delivery
Barclays
Henry Tirri
CTO
Nokia
As agents take on more decisions, preserving how and why those decisions are made becomes critical – not just for accuracy, but also for trust, governance, and explainability. Join Neo4j Field CTO Jesús Barrasa as he explores how context graphs are the connective tissue that lets AI systems make informed & transparent decisions and achieve better outcomes over time.
In this keynote-style talk, Rémy Thellier confronts the “illusion of AI productivity”—the growing gap between individual time savings and enterprise-level ROI. While AI adoption is accelerating, most organizations still struggle to translate usage into measurable economic outcomes. The core argument is simple: ROI doesn’t fail because models aren’t good enough; it fails because workflows, governance, operating models, and measurement systems aren’t redesigned to capture value. To move from pilots to profit, Rémy is joined by four guest leaders from four of Snowflake’s most strategic AI/ML ecosystem partners. Together, they present a series of customer stories showing how enterprises convert AI from isolated productivity boosts into measurable financial impact—by embedding AI into governed data foundations, integrating it directly into operational workflows, and tying initiatives to concrete economic levers: cycle-time reduction that accelerates revenue, external spend compression, and operational risk reduction. Examples include an agentic application for IT software license management that identifies waste and automates reclamation, and a centralized, AI-powered marketing & sales decision engine that unifies signals across channels to improve pipeline quality, conversion, and execution speed. Designed for CDOs and CAIOs, the session delivers pragmatic shortcuts to results: repeatable patterns, proven metrics, and implementation playbooks that help leaders move beyond “hours saved” to board-ready outcomes—faster time-to-value, safer scale, and durable ROI.
As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.
The future of enterprise growth is closely tied to the adoption of agentic AI, which offers capabilities far beyond traditional AI by enabling autonomous execution. This panel will examine how agentic AI enables continuous improvement in business processes, drives competitive differentiation through faster innovation cycles, and supports customer experiences. Leaders will discuss how to build resilient enterprise architectures that fully leverage agentic AI’s potential. They will also explore strategies for aligning AI initiatives with organizational goals, addressing ethical and governance considerations, and preparing the workforce for AI-driven transformation.
Becoming an AI-native organisation isn't just about adopting new technology; it's a transformation spanning people, data, and strategy. It starts with culture: shifting AI from a specialist tool to an embedded capability that augments every role. Even with the right mindset, AI is only as powerful as the data beneath it. The real value often lies hidden in the connections between data silos, not within them. Organisations that uncover and reason across these relationships unlock insights that flat, siloed data cannot reveal. Get culture and connected data right, and competitive advantage follows. This roundtable explores the journey from AI adoption to AI-native, examining the cultural shifts required, the data architectures that enable it, and how organisations that master both will outpace the competition.
«CDO Vision 2026 has been an upgraded experience for us—with better participants, stronger conversations, and real opportunities to engage with prospective customers. It’s a space where we not only build our brand but also learn from enterprise experiences and fine-tune how we approach the market.»

Rajaraman Srinivasan
Founder and CEO, Neoware Technology Solutions
Relive the highlights and key moments.
Inside CDO Vision New York: Orchestrating the AI-First Enterprise Can the enterprise truly become AI-First? At AIM Media House, we believe the answer lies in the hands of a few select leaders who are navigating the transition from experimental pilots to scalable, production-grade intelligence. This aftermovie brings you inside CDO Vision New York, an exclusive, invite-only summit curated by AIM.
In this conversation, Jesús Barrasa, Field CTO at Neo4j, shares why graphs are quietly becoming a foundational layer in modern AI strategies. From the evolution of knowledge graphs to what he calls the next step, he hints at a shift that could redefine how organizations build more reliable and explainable AI systems. He also touches on what it really takes to move AI beyond experimentation, highlighting the importance of business alignment and the need for stronger ways to measure what actually works. This conversation was recorded at CDO Vision New York 2026, part of the global CDO Vision Series by AIM Media House, where data and AI leaders come together to exchange real-world use cases, ideas, and strategies shaping enterprise AI. 🔗 Learn more: https://cdovision.aim.media/
In this conversation, Josie Reinhardt from Hex shares how organizations are rethinking data in the age of AI and why the goal is no longer limited to analysts, but to make everyone a “data person.” She touches on how companies are unlocking insights across teams, and why this shift is becoming central to how modern organizations operate. Beyond the tech, she also reflects on the real value of conversations happening on the ground where leaders openly share challenges, trade ideas, and learn from what’s actually working. This conversation was recorded at CDO Vision New York 2026, part of the global CDO Vision Series by AIM Media House where enterprise data and AI leaders come together to exchange real-world insights, strategies, and experiences shaping the future. 🔗 Learn more: https://cdovision.aim.media/
This talk explores how leaders can bridge generational divides, amplify inclusion, and shape a workplace where every voice matters. When we move from multi-generational to multi-mindset, the future of work becomes not just collaborative but truly collective. The Future of work won’t be built by one generation, it will be conducted where every voice counts!
In this conversation, EJ Kim, Global MD of True Global Intelligence at FleishmanHillard, shares her perspective on how AI is evolving in 2026 and why the conversation is shifting beyond hype. From rethinking how organizations apply AI to navigating the messy transition from pilots to real-world deployment, she dives into the mindset shifts leaders need to embrace today. She also touches on a subtle but powerful trend shaping enterprise AI one that has less to do with outputs, and more to do with how we think, question, and build behind the scenes. This conversation was recorded at CDO Vision New York 2026, part of the global CDO Vision Series by AIM Media House bringing together top data and AI leaders to exchange ideas and real-world learnings.
In this conversation, Rajaraman Srinivasan, Founder and CEO of Neoware Technology Solutions, shares his insights on scaling enterprise AI and turning data into real business intelligence. He highlights a key challenge organizations face today—treating AI as a technology-first initiative rather than starting with clear business goals. From ROI measurement to the evolving role of Generative AI, Rajaraman explains how enterprises can move beyond proof-of-concepts and drive meaningful impact. He also touches on how GenAI is reshaping traditional workflows, especially in software development and enterprise operations. This conversation was recorded at CDO Vision New York 2026, part of the global CDO Vision Series by AIM. The series brings together Chief Data Officers and enterprise AI leaders across major cities for high-impact discussions, peer learning, and strategic insights on data and AI transformation. New York marked one of the flagship gatherings of the series, setting the tone for conversations around enterprise AI, governance, and real-world execution.
As agents take on more decisions, preserving how and why those decisions are made becomes critical – not just for accuracy, but also for trust, governance, and explainability. Jesús Barrasa, Field CTO at Neo4j, explores how context graphs serve as the connective tissue that enables AI systems to make informed, transparent decisions and achieve better outcomes over time.
Why AI ROI Slips Away—and Four Enterprise Stories That Solved It
Interested in attending, partnering, or sponsoring? Fill out the form below.
CDO Vision New York 2026 takes place on January 30, 2026 at Convene 605 Third Avenue in New York, United States. It is a one-day, invite-only summit for Chief Data Officers and enterprise AI leaders.