NetApp’s AI data platform, integrated with ONTAP storage, enables enterprises to quickly adopt AI innovations like agents, multi-modal data, knowledge graphs, and chain-of-thought reasoning for accurate, insightful answers.

Arindam 是 NetApp 的第一位技術院士。他同時也是首席架構師暨 NetApp 平台副總裁,負責 NetApp 的技術願景、策略和架構。他目前正引領下一代 AI 基礎架構和 AI 資料平台的架構與設計。Arindam 在分散式儲存基礎架構和資料平台領域擁有超過 25 年的經驗。他在 NetApp 工作了 19 年,並在檔案系統、分散式儲存設備和 AI 領域推動了多項創新。Arindam 撰寫或共同撰寫了超過 50 項專利和專利出版物,這些專利在電腦資料系統和技術領域已獲得超過 500 次引用。

Shiva Subramanyam is the Vice President of AI Engineering at NetApp. With more than 16 years of expertise in developing large-scale distributed backend systems, Shiva spearheads the engineering efforts behind NetApp's cutting-edge solutions in AI, governance, and Kubernetes. His team is dedicated to advancing NetApp's mission to create the next-generation AI data engine, focusing on guardrails, governance, cloud-native, and AI-driven insights across enterprise storage. This work aids organizations in accelerating their AI journey in a compliant and secure manner. Before joining NetApp, Shiva held senior engineering positions at Salesforce, where he led cloud-native transformations and scaled resilient infrastructure for thousands of customers worldwide.

Tore is a product leader with 20+ years building AI-powered, category-defining products at Microsoft, Google, and now NetApp. One standout achievement was leading the concept, pitch, build, and launch of Microsoft Office’s first machine-learning stack and AI features, reshaping how hundreds of millions work. Across roles, he has repeatedly spotted high-impact opportunities, set vision and roadmaps, developed world-class teams, and forged product and partner ecosystems that have delivered breakthrough innovation. His work spans product strategy, design, UX, data platforms, and GTM, consistently turning new technology into durable customer value at global scale. At NetApp, he’s helping shape and lead the company’s AI vision and product portfolio—uniting data discovery, security and privacy, transformation, and semantic search/retrieval to bring governed, cutting-edge, production-ready AI to the enterprise - so organizations ship high-scale, high-perf, compliant AI products much faster.\n