AI and ML are transforming industries, yet a staggering 85% of AI/ML applications fail to make it into production. Why? The lifecycle of ML development demands specialized tools, seamless collaboration, and robust infrastructure.
In this session, Yuval Fernbach, JFrog's VP & CTO of MLOps, discuss JFrog ML, a solution that unifies MLOps and software development. JFrog ML streamlines the entire ML lifecycle, enhances security, and fosters collaboration between data scientists, AI engineers, and development teams - all within the trusted JFrog ecosystem.
Discover how JFrog ML secures ML development through production, enabling organizations to deliver secure models efficiently.
Developing ML Models With Trust
From Silos to Synergy:
MLOps & Developers Unified
Yuval Fernbach, VP & CTO, JFrog MLOps
