EJ Kim
Global Managing Director, TRUE Global Intelligence, FleishmanHillard
Leadership priorities
of 734 themed leaders · 228 leaders
Source: 734 CIO Vision leader profiles with at least one priority theme, from 742 leaders in the series. Leaders can be counted in more than one theme.
Leaders using technology, data and partner ecosystems to open new revenue and markets. The focus is on innovation, new products and collaboration with vendors, startups and peers.
CIO AI Priorities 2027
Hyperscalers dominate announced AI partnerships, model labs are thinly spread, and 130 of 410 enterprises name no AI partner.
Read the findingGlobal Managing Director, TRUE Global Intelligence, FleishmanHillard
Executive Director - (Head) Transformation - Group Data Office, OCBC
CTO & Head of Enterprise Technology Services, Memorial Sloan Kettering Cancer Center
Chief Analytics Officer, Delta Dental of New Jersey and Connecticut
Chief Digital Officer (CDO) - Personal Banking & Wealth Management, Bank of China (Hong Kong)
Every ambitious AI roadmap eventually collides with an unglamorous truth: models are only as good as the data and infrastructure beneath them. This panel brings together enterprise tech leaders to talk candidly about the foundational work that determines whether AI initiatives scale or stall, cleaning up fragmented data, modernising legacy systems, and paying down technical debt, all while continuing to ship. Expect a practical conversation on where to invest first, how to fix the plumbing without halting progress, and why the least visible work often decides who wins with AI.
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.
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. [エンタープライズの成長の未来は、自律的な実行を可能にするエージェンティックAIの導入と密接に結びついています。このパネルでは、エージェンティックAIがビジネスプロセスの継続的な改善をどのように実現し、より速いイノベーションサイクルを通じて競争上の差別化を促進し、顧客体験を支えるかを検討します。リーダーたちは、エージェンティックAIのポテンシャルを最大限に活用するための強靭なエンタープライズアーキテクチャの構築方法について議論します。また、AIイニシアティブを組織目標と整合させ、倫理・ガバナンス上の課題に対応し、AI主導の変革に向けて人材を準備するための戦略についても考察します。]
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.
This opening Vision Talk will explore what it takes to build secure, AI-ready enterprises where innovation, trust, and execution operate in sync at scale. Moving beyond experimentation, the session will present a practical execution lens grounded in real enterprise realities across Southeast Asia, addressing regulatory complexity, cross-border data considerations, and ecosystem dependencies that ultimately shape successful AI outcomes.
In a world where AI is being deployed everywhere, the key question for CDOs and CAIOs is no longer whether to invest, but where to focus to maximize outcomes. In this keynote, Rémy Thellier argues that real AI ROI does not come from productivity gains alone. It comes from targeting the levers that matter most in the boardroom: reducing spend, accelerating revenue, lowering risk, and improving working capital. Joined by four leaders from Snowflake’s AI/ML ecosystem partners, Rémy shares four enterprise stories that show where AI delivers the strongest payoffs—and why. The pattern is clear: value is captured when AI is embedded in governed data foundations, integrated directly into workflows, and tied to explicit economic metrics. Designed for CDOs and CAIOs, this session offers practical guidance on where to place bets, how to avoid diluted effort, and how to move beyond pilots and “hours saved” toward faster time-to-value, safer scale, and durable ROI.
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 CXOs 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.
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.
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.
A published Pulse finding for this priority is not yet available.