ライフサイエンス向けエージェンティックなコントロールプレーンの活用と展望 Harnessing the Life Sciences Agentic Control Plane

ライフサイエンス業界はAI活用の転換点を迎えていますが、データサイロや断片化されたワークフローがROIを制限しています。SnowflakeのライフサイエンスAI責任者Kelci Miclausが、エコシステム連携・ドメインとフロンティアAIの融合・セマンティックコンテキストの3領域を軸に、創薬加速やリアルタイムの患者データ活用に向けたエージェンティックなコントロールプレーンのビジョンを解説します。

The life sciences industry has reached an inflection point: the value of AI is proven, but siloed data and fragmented workflows are locking programs in pilots and limiting ROI. To harness AI for production-grade workflows, organizations need an open and interoperable agentic control plane purpose-built to power orchestration, governance, task-coordination and scaled intelligence.
Join Kelci Miclaus, Head of Life Sciences AI at Snowflake, to explore our vision for a unified foundation that delivers the life sciences agentic control plane anchored around three priority areas:
Ecosystem Connectivity & Interoperability: Connect critical systems of record, industry workflows, and ontologies to ground trusted agentic development via open frameworks and Snowflake AI Data Cloud partnerships.
Harnessing Domain Intelligence into Frontier Intelligence: Frontier reasoning unified with task-specific models and domain AI built-in (not baked-on) to broader governed data, analytics and machine learning capabilities for a composite approach to life sciences enterprise AI outcomes.
Driving Value with Enterprise Semantic Context: Snowflake uniquely solves for business challenges that require cross-organization connected insights for pipeline acceleration and commercial effectiveness. From cross-domain novel drug discovery signals fueling accelerated cycles, to connected lab, supply, and clinical control towers, ultimately leading to near real-time patient insights driving successful launch and market success