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ODSC AI East 2026 | The #1 AI Builders Conference

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About this event

What to expect

ODSC AI East 2026 is the premier conference for AI builders, data scientists, and tech leaders looking to level up practical skills and strategic know-how in AI. This hybrid event (on-site in Boston and virtual attendance) runs from April 28–30, 2026, with a packed agenda designed to deliver hands-on learning, plus extensive networking and real-world case studies. Expect 300+ hours of content across 250+ expert speakers, with a balance of technical tracks and business-focused sessions. Whether you’re early in your AI journey or a seasoned practitioner, this conference offers tangible, job-ready insights you can apply immediately to build, deploy, and govern AI at scale.

Key value proposition:

  • Deep, hands-on tracks in LLMs, GenAI, and RAG; AI engineering, MLOps, data science, and AI for robotics
  • Agentic AI and workflow automation tracks to help you design and implement AI-powered processes
  • Separate leadership and governance content for AI strategy, risk, and enterprise adoption
  • A diverse program featuring practical tutorials, workshops, and real-world deployment stories from academia and industry

Format and experience:

  • Three days of sessions, hands-on trainings, and tutorials
  • On-site at the Hynes Convention Center (Boston) with a virtual conference option for remote attendees
  • Expanded ecosystem events including AI X Leadership Summit, AI Mini-Bootcamp, and the AI Expo & Demo Hall
  • Networking opportunities, including targeted lunches, main network receptions, and VIP sessions

Target audience and outcomes:

  • Data scientists, ML engineers, AI researchers, and software engineers
  • Technical leaders, product managers, and AI decision-makers seeking practical guidance on building AI at scale
  • Attendees looking to pivot into an AI-driven career or expand existing AI programs with governance and risk considerations

What you’ll gain:

  • Hands-on mastery of core AI tooling and architectures (LLMs, GenAI, RAG, MLOps, AI engineering)
  • Practical strategies for AI adoption, governance, and risk management in enterprise settings
  • Insight into build vs. buy decisions, vendor landscape, and productization of AI solutions
  • Networking with peers, mentors, and potential collaborators from around the world

Registration and links:

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