May 5, 2026 - May 6, 2026
Machine Learning Week’s HYBRID AI 2026 in San Francisco is the confluence of cutting-edge innovation and practical application in the realm of AI. As the event enters its 18th year, it tackles the pressing challenges of deploying AI solutions with a focus on marrying generative and predictive AI to unlock their full potential. Attendees will learn how this hybrid approach can turn AI’s promise into tangible outcomes.
What to Expect:
- Keynotes from leading experts like Dr. Eric Siegel, offering insights into the hybridization of AI.
- Engaging workshops that delve into the strategic embedding of humans-in-the-loop.
- Networking opportunities with professionals such as Ravi Jain of Alphabet’s innovation lab.
- Interactive sessions on developing a reliability layer for AI systems.
- Real-world case studies showcasing successful AI deployments.
Focus Areas:
- Hybrid AI Applications
- Reliability Layer Development
- Human-Machine Collaboration
- Predictive AI Deployment
- Generative AI Utilization
Keywords: hybrid AI, predictive AI, generative AI, machine learning, human-in-the-loop
Target audience:
AI practitioners, data scientists, machine learning engineers, and business leaders looking to harness AI’s full potential.
What attendees say:
Attendees often praise Machine Learning Week for its insightful sessions and actionable strategies. The event is noted for fostering a collaborative atmosphere where industry leaders and newcomers alike can connect and share knowledge. Itβs a must-attend for those eager to stay ahead in the rapidly evolving AI landscape.
Join HYBRID AI 2026 to connect with pioneers in AI and explore innovative solutions that drive real-world impact.
