From Chaos to Control: Future-Proof Your AI Supply Chain
The pressure to innovate and ship new models is drowning AI/ML teams in chaos - fragmented tools, compliance blind spots, and constant project delays. For ML Engineers and Data Scientists, building a future-proof, automated path to production is no longer optional for success in 2026.
If operational overhead and process bottlenecks are still slowing you down, join Yuval Fernbach, CTO of MLOps at JFrog, on December 3rd for a focused session on the JFrog AI Catalog.
We’ll cover:
- How to automate model versioning and packaging to create a single source of truth for all your AI assets (models, data, and code).
- Practical ways to guarantee control with a governed supply chain approach to proactively secure models and their critical dependencies.
- How the AI Catalog removes security and operations as a bottleneck, giving your team a clear, fast path to get models into production.
In this session, Yuval will show you how to eliminate project bottlenecks and shift from AI chaos to a clear, automated workflow.
Bonus: You’ll receive an exclusive copy of The JFrog Trusted AI 2026 Playbook, featuring a clear, actionable plan to help you build a unified and secure foundation.
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.
