Wednesday, May 27, 2026, 9:00 AM - Thursday, May 28, 2026, 3:15 PM PT
South San Francisco Conference Center, 255 S Airport Blvd, South San Francisco, CA 94080
AI DevSummit 2026
AI DevSummit is the world’s leading AI management & engineering conference, with tracks covering AI Management & Leadership as well as Chatbots, Machine Learning, Open Source AI Libraries, AI for the Enterprise, and Deep AI / Neural Networks. This conference targets AI managers & executives as well as software engineers and data scientists who are looking for an introduction to AI as well as AI dev professionals looking for a landscape view on the newest AI technologies.
2 DAYS
1000+ ATTENDEES
60+ SESSIONS
50+ SPEAKERS
30+ EXHIBITORS
AI Executive
AI now dominates every conversation in every business. As AI leaders develop and launch new capabilities and the market crowds with solutions, it can become difficult to track how best to evaluate their potential for your business and how best to integrate them into your workflows. In this track, experts will help start to untangle this complexity and effectively evaluate and implement AI tools into your organization.
AI Ops and Technology Management
As AI systems scale from experimental projects to production environments, the operational complexity of managing models, infrastructure, and workflows intensifies dramatically. This track brings together engineering and operations leaders to share proven strategies to support and deploy compute power for AI workloads, including model deployment pipelines, monitoring and observability frameworks, and efficient resource management.
AI Strategy, Case Studies, and Success Stories
Hear from technical experts and industry leaders who have successfully forged a path forward in their AI roadmap as they share their best practices, how they measure success, the personas and customer challenges they target, and how to best bring about real organizational change as AI is rolled out across the organization.
Machine Learning, Models, and Architecture
Researchers, developers, and data scientists share their expertise and best practices in predictive model training, effective use of transformers, and the state of the art in data manipulation and analysis.
AI Frameworks, Tools, and Applied AI
Developers building agentic applications, AI-enabled bots, or other software that integrate AI technologies and models will learn from experts on topics including how to leverage and customize LLMs and other generative AI techniques through retrieval augmented generation (RAG), engineering prompts that return effective results, how to make AI integration easier with frameworks such as LangChain, and how to integrate AI directly into the development workflow using AI co-pilots.
Data Access, Data Management, and Operations
Data engineers supporting AI training and application workloads both in local datacenters and in the cloud share their experience and best practices on topics including streaming data, managing and applying vector and similar databases, cleaning and preparing data for ingestion, maintaining and optimizing workflows using MLOps / AIOps best practices, and more.
AI Enterprise Dev
As AI moves from R&D into core business systems, developers are expected to deliver reliable, scalable, and secure AI-powered applications within complex enterprise environments. This track focuses on the practical side of enterprise AI development — adapting and applying models to legacy, experience hardened systems, deploying AI-augmented tools responsibly with minimal workflow disruption, ensuring performance at scale, and capturing and measuring meaningful results and outcomes. Learn from experienced engineers how to ship production-ready AI features, work with internal data and APIs, and align AI capabilities with business-critical software systems.
ADDITIONAL TOPICS
AI in the Cloud
Agents
LLMs
Generative AI
Machine Learning
Data Engineering
AI Integration Strategy
AI Product Strategy
AI Code Generation
AI Ethics and Bias
AI-driven Automation
Governance and Regulation
Learn. Connect. Experience.
Thanks to DevNetwork for the listing and graphics for this startup event.
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