Call for Proposals: IEEE CS Enterprise Generative AI Summit 2025
August 20-21, 2025 | San Jose, CA
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Submissions Due: 7 May 2025
Abstract Submission Deadline: 7 May 2025
Author Notification: 8 June 2025
Final Submission Deadline: 10 July 2025
Conference dates: 20-21 August 2025
Enterprise GenAI: Shaping the Future
The IEEE CS Enterprise Generative AI Summit 2025 is your premier opportunity to explore cutting-edge advancements, foster collaboration with industry leaders, and shape the future of Generative AI in enterprises.
Why Attend?
Gain actionable insights from top AI experts and industry pioneers.
Participate in keynotes, panel discussions, hands-on workshops, and networking events.
Explore real-world applications and challenges of GenAI in healthcare, finance, manufacturing, and technology.
Engage in discussions on emerging innovations, strategic opportunities, and trust-worthy and responsible AI deployments.
Call for Submissions – Opportunity to Share Your Expertise!
We invite industry professionals and innovators to submit their proposals for: Presentations (20 – 30 minutes) – Share insights, case studies, and innovative enterprise GenAI applications.
Workshops (1-2 hours) – Deliver hands-on sessions or technical deep dives.
Panel Discussions – Organize a panel and lead thought-provoking discussions on GenAI and its application challenges
Submission Guidelines
We solicit your proposal in the form of a 1-page abstract. Also include, preferred duration, your brief bio outlining your experience and contributions, and contact details
Upload your submission at [Easychair submission Web address]
Submitted abstracts will be reviewed by an expert committee and shortlisted.
Authors of selected submissions will be invited to participate. They must attend in person for an oral presentation or workshop.
Outstanding contributions will be highlighted onComputer.org.
Key Themes & Tracks
1. Strategic Integration of GenAI in Enterprises
GenAI’s Role in Digital Transformation
Building a GenAI-Driven Enterprise: Strategies for Success
Industry-Specific Use Cases: Healthcare, Finance, Retail, Manufacturing
ROI and Business Impact of GenAI Adoption
Challenges in Scaling AI from Pilot to Production
2. Technology and Infrastructure for GenAI
Architecting Scalable Systems for GenAI
Optimizing Compute and Storage for LLMs
Hybrid Cloud vs. Edge Deployments for AI Workloads
Advances in Model Compression and Fine-Tuning
3. Open Source and Democratization of GenAI
The Rise of Open Source Models: Opportunities and Challenges
Ecosystems for Innovation: Hugging Face, OpenAI, Stability AI, and Beyond
Building Custom Solutions with Open-Source GenAI Frameworks
Open Source Licensing and Compliance in Enterprise AI
4. AI Ethics, Regulation, and Governance
Trustworthy AI: Standards, Frameworks, and Policies
AI Bias and Fairness
Legal and Regulatory Challenges in GenAI Deployment
Data Privacy and Security in Generative AI
AI Watermarking, Copyright, and Intellectual Property Protection
5. Industry Insights and Case Studies
Scaling Startups in the GenAI Era
Enhancing Productivity with AI-Augmented Workflows
GenAI for Software Development and IT Operations
Revolutionizing Customer Experiences with Chatbots
Enterprise Adoption Roadblocks: Lessons from AI Implementations
6. Emerging Trends in GenAI and Future Prospects
Multi-Modal Generative AI: Beyond Text
Green GenAI: Reducing AI’s Carbon Footprint
Autonomous Agents: The Next Frontier
Advances in Reinforcement Learning and Self-Supervised Learning
Synthetic Data and AI-Augmented Training Pipelines
Hironori Washizaki, President, IEEE Computer Society
Jyotika Athavale, Past President, IEEE Computer Society, Synopsys
San Murugesan, IEEE Computer Society Publications Executive Committee
Program Chairs:
Ajay Mungara, Intel Corporation
Neelay Shah, Nvidia Corporation
Richard Tong, Chair, IEEE Artificial Intelligence Standards Committee
Program Committee:
Joaquim Jorge, UNESCO Chair on AI & XR
Dr. Cyril Onwubiko, Barclays
Sourabh Bansod, Google
Rajdeep Mazumder, HSBC
Meghana Rao, Intel Corporation
Nikita Tiwari, Nvidia Corporation
Get Involved!
Submit your proposal: Contribute to shaping the GenAI conversation. Sponsor an event: Promote your activities and leadership in enterprise AI, gaining visibility among your stakeholders
Serve as a volunteer: Support the summit and collaborate with industry professionals.
