Erick Brethenoux

This session will explore how generative AI technology will evolve over the next decade, moving from large, general-purpose models to agentic, multimodal and deeply personalized systems. IT leaders will gain foresight into the architectural, ethical, and strategic shifts that will define the next wave of enterprise AI.

AI agents are permeating applications and systems across organizations. Their flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. However, their adaptive strength comes with nondeterministic weaknesses. Increased autonomy and complexities in multiagent systems, compounded by GenAI models, dangerously raise uncertainty, prompting the question: are multiagent systems worth it?

Explore what AI agents truly are, how they autonomously operate in digital and physical worlds, and why multiagent systems will revolutionize business. Join our roundtable to separate hype from reality, discover the real capabilities and limits of AI agents, and how this can be applied in your industry setting.

AI is moving faster than ever. AI techniques should bring adaptability to an uncertain world in constant flux. However, despite its extraordinary power and early promises, AI has not been leveraged to its full potential. What is missing? Where did we go wrong? Join us as we discuss our ambition for the future of AI and AI should do for us to deliver the value that we are expecting.

AIはかつてない速さで進化している。AI技術は、絶えず変化する不確実な世界に適応力をもたらすだろう。しかし、その並外れたパワーと当初の期待にもかかわらず、AIの潜在能力は最大限に活用されていない。何が不足しているのか。どこで誤ったのか。本セッションでは、 AIの未来に対する我々の大志と、期待する価値を実現するためにAIが果たすべきことについて議論する。

AIエージェントは、組織内のさまざまなアプリケーションやシステムに広がりつつある。その柔軟性は、リアルタイムでの監視や制御が現実的でない予測困難な環境において大きな価値を持つ。一方で、状況によって結果が変わるという特性は、思わぬ弱点も生み出す。自律性の向上やマルチエージェント・システムの複雑化、さらに生成AIモデルの導入によって、不確実性は危険なほど高まっている。本セッションでは、「マルチエージェント・システムは本当に導入する価値があるのか」という問いに迫る。

AIリーダーの役割は、 組織の生き残りに不可欠なものとしてさらに重要性を増している。GartnerのAIリーダーに関する調査では、成熟度の高い組織の91%が専任のAIリーダーを配置していると回答しているが、これはAI主導のトランスフォーメーションにとって極めて意義がある。本セッションでは、AIリーダーの役割の要点 と、AIファーストな組織の創造という目的を果たす方法について解説する。

As the CDAO role continues to evolve in the AI era, organizations face critical decisions about the direction and impact of their data leadership. This session explores the future of the CDAO through three distinct archetypes: Expert, Collaborator and Pioneer. Attendees will learn how to assess and choose the archetype that best aligns with their organization’s AI ambition and strategic goals. Attendees will leave with actionable insights to define their CDAO journey and position themselves and their organizations for success in a rapidly changing digital landscape.

AI agents are permeating applications and systems across organizations. Their flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. However, their adaptive strength comes with nondeterministic weaknesses. Increased autonomy and complexities in multiagent systems, compounded by GenAI models, dangerously raise uncertainty, prompting the question: are multiagent systems worth it?

The role of the artificial intelligence leader has rapidly emerged as essential for enterprise survival. Gartner's AI leaders survey shows that 91% of high-maturity organizations report having dedicated AI leaders, and it is crucial for AI-driven transformation. This session discusses the essentials of the AI leader role and how it fulfills its purpose of creating an AI-first enterprise.

AI agents are permeating applications and systems across organizations. Their flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. However, their adaptive strength comes with nondeterministic weaknesses. Increased autonomy and complexities in multiagent systems, compounded by GenAI models, dangerously raise uncertainty, prompting the question: are multiagent systems worth it?

AI is moving faster than ever. AI techniques should bring adaptability to an uncertain world in constant flux. However, despite its extraordinary power and early promises, AI has not been leveraged to its full potential. What is missing? Where did we go wrong? Join us as we discuss our ambition for the future of AI and AI should do for us to deliver the value that we are expecting.