Tomokazu Tajiri

Head, Analytics & Digital Innovation, Technology Scouting & Integration Labs at Astellas Pharma

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CDO Vision Tokyo 2026

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Tokyo · 7 Aug 2026

On film

11:40–12:10 JST · Panel

Agentic AI and the Future of Enterprise Growth [パネルディスカッション：エージェンティックAIとエンタープライズ成長の未来]

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。]

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Tomo Tajiri, PhD is Head of Analytics & Digital Innovation, Technology Scouting & Integration Labs at Astellas Pharma, where he leads digital transformation initiatives across Pharmaceutical Development and CMC organizations working closely with enterprise digital and IT teams. Tomo advocates a user- and business-centric approach to digital transformation rather than viewing AI solely as a technology challenge. He focuses on redesigning data foundations, business processes, and operating models to unlock sustainable value from AI, digital technologies, and laboratory automation. He is particularly interested in enabling enterprise-wide transformation through Agentic AI and autonomous laboratory systems.Tomo believes that sustainable value creation requires more than deploying AI solutions—it requires rethinking how subject matter experts work, how decisions are made, and how data products are designed and utilized.Tomo frequently collaborates with industry partners, technology providers, and cross-industry consortia to explore the future of Agentic AI, digital laboratories, and next - generation pharmaceutical development.

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