From Chaos to Control: Future-Proof Your AI Supply Chain
Tired of the AI Chaos? Turn Fragmentation, Compliance Risks, and Project Delays into a Predictable Path to Production.
The pressure to innovate is soaring, but fragmented tools, compliance blind spots, and endless operational overhead are drowning high-performing AI/ML teams. For ML Engineers and Data Scientists, 2026 demands a future-proof, automated foundation—or you risk being left behind.
Join Yuval Fernbach, CTO of MLOps at JFrog, to learn how to:
- Eliminate Bottlenecks: Discover the exact process to transform security and operations from a roadblock into an accelerator, giving your team a clear, fast path to production.
- Create a Single Source of Truth: Learn practical automation techniques for model versioning and packaging, instantly unifying all your AI assets (models, data, and code) into one trusted place.
- Guarantee Trust & Control: Implement a governed supply chain approach to proactively secure models and their critical dependencies before they become a risk.
In this session, Yuval will show you how to eliminate frustrating project bottlenecks and shift your team from reactive AI chaos to a clear, automated, and secure workflow.
Exclusive Registration Bonus:
You’ll receive an exclusive copy of ‘The JFrog Trusted AI 2026’ Playbook, a clear, actionable plan to help you immediately build a unified, automated, and secure AI foundation in 2026.
Presenter Information
Yuval Fernbach has an unwavering passion for unleashing the potential of data and technology to drive innovation. He has over a decade of hands-on experience in the realm of data and machine learning and as an ML Specialist, crafting advanced machine learning models. He co-founded and served as the CTO of Qwak, a fully managed, user-friendly ML Platform, enabling creators to reshape data, construct, train, and deploy models, and meticulously oversee the complete Machine Learning lifecycle. Since the acquisition of Qwak by JFrog, Yuval now serves as the VP and CTO of MLOps at JFrog.
