Batel Zohar
Developer Advocate
Batel Zohar is a Developer Advocate for JFrog and has a background in DevOps support engineering, web development, and embedded software engineering. Prior to this, Batel served as an Enterprise Solutions Lead on a dedicated team that accompanies and assists large customers through the architectural implementation of the JFrog platform. She loves her dogs, plays guitar, and is a fan of Marvels movies
Presentations
By 2027, Gartner predicts 90% of new applications will contain machine learning [ML] models. However, the MLOps space is fragmented, lacking appropriate standards and not often managed with new and coming compliance requirements in mind. In our session, we will delve into the security part of ML Models and the way we should store and govern our models and data sets
The session will focus on the primary concepts and current trends in machine learning projects, addressing their necessity, the key individuals involved in these projects, and the pertinent processes involved in machine learning. These processes encompass data preparation, exploratory data analysis, model training, model deployment, monitoring, and more.
Furthermore, the session will explore the importance of MLOps, which involves handling dependencies, facilitating communication among multiple teams, mitigating model risks, and establishing a resilient infrastructure for scaling purposes.