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2025 IEEE Computer Society Enterprise Generative AI Summit

Enterprise GenAI Summit

The 2025 IEEE Computer Society Enterprise Generative AI Summit (Enterprise GenAI Summit) brings together industry leaders, technology innovators, and AI practitioners to explore how Generative AI (GenAI) is shaping the future of enterprises.

Unlike traditional academic AI conferences or commercially driven AI summits, this event takes a practical, industry-focused approach, emphasizing real-world applications, challenges, and balanced perspectives.

August 20-21, 2025 | San Jose, CA, USA

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Keynote Speaker

Devavrat Shah is an Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. He is co-founder of Ikigai Labs whose mission is to transforming enterprise forecasting and planning with AI. Previously, he co-founded AI start-up Celect (part of Nike) to help retailers with allocation and fulfillment. At MIT, he was the faculty director of Deshpande Center for Tech Innovation between 2020 to 2023, founding director of the Statistics and Data Science Center at MIT between 2016 to 2020. He is a distinguished alumni of his alma mater IIT Bombay. His work has been recognized through career prizes 2008 ACM Sigmetrics Rising Star and 2010 INFORMS Erlang Prize; paper prizes at IEEE Infocom, ACM Sigmetrics, NeurIPS, INFORMS Applied Probability Society, INFORM Management Science and Operations Management; INFORMS George B Dantzig thesis prize and test of time awards at ACM Sigmetrics. He is Kavli Fellow of National Academy of Sciences. He is an adjunct professor at Tata Institute of Fundamental Research, Mumbai and distinguished professor of Data Science and AI at Indian Institute of Technology, Guwahati.

Keynote Speaker

Aishwarya Srinivasan currently leads the Developer Relations – Growth at Fireworks AI. She was previously at Microsoft for Startups as a Senior AI Advisor to help Y Combinator startups build machine learning solutions, leveraging core Microsoft/ OpenAI products. Prior to this, Aishwarya was working as a Data Scientist in Google Cloud and before that an AI & ML Innovation Leader at IBM Data & AI. She holds a post-graduate in Data Science from Columbia University.

Key Objectives

  • Explore the transformative potential of Generative AI – including next-generation foundation models and their applications across industries such as healthcare, finance, manufacturing, and technology.

     

  • Showcase successful enterprise deployments – from automation to AI-augmented workflows, highlighting key case studies.

     

  • Address critical challenges – including ethical considerations, regulatory compliance, governance, and technical roadblocks in scaling GenAI.

     

  • Foster collaboration – between enterprises, AI solution providers, policymakers, and thought leaders to accelerate responsible GenAI adoption.

     

  • Provide hands-on learning opportunities – through interactive workshops, expert-led panels, and strategic discussions tailored to industry professionals.

     

This summit differs from academic AI conferences, which focus primarily on research breakthroughs, and from commercial AI summits, which are often centered around specific products or services. Instead, it delivers a practical, actionable, and enterprise-driven perspective, featuring insights from industry leaders, regulators, and AI developers—with select academic contributions focused on enterprise applications and future trends.

Key Dates

  • Abstract Submission Deadline: 
    May 20, 2025 – New submissions are no longer being accepted.
  • Presenter Notification: 
    June 20, 2025
  • Final Presenter Submission Deadline: 
    July 20, 2025
  • Event Dates:
    August 20-21, 2025 (San Jose, CA, USA)

Who Should Attend?

  • Industry Executives & Decision-Makers – CIOs, CTOs, Chief Data Officers, and Heads of AI/ML responsible for defining and implementing enterprise AI strategies.
  • AI/ML Leaders & Practitioners – AI Architects, Machine Learning Engineers, Data Scientists, and Research Scientists involved in building and deploying AI solutions.
  • Product & Strategy Leaders – VPs of Product, AI Product Managers, AI Strategists, and Innovation Leaders focused on commercializing AI applications.
  • Startups & Entrepreneurs – Founders, AI-driven startup leaders, and enterprising individuals exploring business opportunities in Enterprise AI.
  • Industry Experts & Regulators – Compliance Officers, AI Governance Specialists, Legal Advisors, and Policymakers ensuring responsible AI deployment.
  • Researchers & Academics – Those interested in gaining insights into real-world GenAI applications and enterprise challenges.

Industries Represented

The program will focus on key challenges that large enterprises face in adopting and scaling GenAI, including: 

  • Strategic Implementation
  • Business ROI & Adoption 
  • AI Infrastructure & Scalability 
  • Trust & Governance 
  • Regulatory & Compliance Challenges 
  • Workforce Transformation 

 

We’ll be tackling the industry’s biggest question – How can enterprises harness Generative AI to drive innovation, efficiency, and competitive advantage while maintaining ethical, legal, and operational integrity? 

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Key Takeaways

By the end of the summit, attendees should:

  • Understand the Future of GenAI in Enterprises – Gain insights into how GenAI is shaping industries and workflows.
  • Learn Best Practices for Implementation – Discover frameworks for adopting GenAI responsibly and effectively.
  • Navigate AI Governance & Compliance – Understand regulatory challenges and ethical considerations in AI deployment.
  • Optimize AI Investments – Learn how to measure and maximize the ROI of GenAI initiatives.
  • Develop Actionable Strategies – Walk away with a clear roadmap to integrate GenAI into their organization.

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