Call for Submissions - Share Your Expertise!
Submission Guidelines
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
We solicit your proposal in the form of a 1-page abstract with the following details:
- Preferred duration
- Brief bio outlining your experience and contributions
- Contact details
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 on Computer.org.
Key Dates
- Abstract Submission Deadline:
May 20, 2025 - Author Notification:
June 20, 2025 - Final Submission Deadline:
July 20, 2025
- Event Dates:
August 20-21, 2025 (San Jose, CA, USA)
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