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.
