Operationalizing AI for Scale and Sovereignty

实现人工智能的规模化与主权化

Companies are taking control of their own data to tailor AI for their needs. The challenge lies in balancing ownership with the safe, trusted flow of high‑quality data needed to power reliable insights. This conversation from MIT Technology Review’s EmTech AI conference examines how AI factories unlock new levels of scale, sustainability, and governance—positioning data control as a strategic imperative for governments and enterprises.

企业正在掌控自身数据，以根据需求定制人工智能。其挑战在于如何在数据所有权与驱动可靠洞察所需的高质量数据安全、可信流动之间取得平衡。本次来自《麻省理工科技评论》EmTech AI 大会的对话探讨了“AI 工厂”如何解锁规模化、可持续性和治理方面的新高度，并将数据控制定位为政府和企业的战略要务。

About the speakers

关于演讲嘉宾

Chris Davidson, Vice President, HPC & AI Customer Solutions, HPE Chris Davidson，HPE 高性能计算与人工智能客户解决方案副总裁

Chris Davidson is Vice President of HPC & AI Customer Solutions at Hewlett Packard Enterprise. He leads HPE’s global strategy for AI Factory solutions and Sovereign AI, working with governments, enterprises, and research institutions to build secure, scalable national- and enterprise-grade AI capabilities. He also directs Product Management and Performance Engineering across HPE’s HPC and AI portfolio, including large-model training platforms and Cray exascale systems. His teams define product strategy, performance architecture, and deployment models that position HPE at the forefront of high-performance and AI computing. During his nine years at HPE, Chris has led key initiatives across Performance Engineering, AI Cloud, and Professional Services, shaping how HPE delivers optimized, cloud-native, and globally deployed high-performance systems. He previously held technical and leadership roles in the biotech and medical diagnostics sectors. Chris holds an M.B.A. in Entrepreneurship and Finance and a B.S. in Biology from Loyola University Chicago.

Chris Davidson 是慧与科技（HPE）高性能计算（HPC）与人工智能客户解决方案副总裁。他负责 HPE 在 AI 工厂解决方案和主权 AI 领域的全球战略，与政府、企业及研究机构合作，构建安全、可扩展的国家级和企业级 AI 能力。他还负责管理 HPE HPC 和 AI 产品组合的产品管理与性能工程，包括大模型训练平台和 Cray 百亿亿次（exascale）系统。他的团队负责定义产品战略、性能架构和部署模型，使 HPE 始终处于高性能计算和 AI 计算的前沿。在 HPE 工作的九年间，Chris 领导了性能工程、AI 云和专业服务领域的关键项目，塑造了 HPE 提供优化、云原生且全球部署的高性能系统的方式。此前，他曾在生物技术和医学诊断领域担任技术和领导职务。Chris 拥有芝加哥洛约拉大学的创业与金融工商管理硕士学位（M.B.A.）以及生物学学士学位。

Arjun Shankar, Division Director, National Center for Computational Science, Oak Ridge National Laboratory Arjun Shankar，橡树岭国家实验室国家计算科学中心部门主任

Mallikarjun (Arjun) Shankar is the Division Director for the National Center for Computational Science at the Oak Ridge National Laboratory. His research focuses on the interdisciplinary bridge between computer science and large-scale scientific discovery campaigns that rely on scalable computing and data science. He is a joint faculty appointee at the University of Tennessee’s Bredesen Center, a senior member of the IEEE and a senior member of the ACM.

Mallikarjun (Arjun) Shankar 是橡树岭国家实验室国家计算科学中心的部门主任。他的研究重点是计算机科学与依赖可扩展计算和数据科学的大规模科学发现项目之间的跨学科桥梁。他是田纳西大学 Bredesen 中心的联合教员，同时也是 IEEE 高级会员和 ACM 高级会员。