JFrog uses AI and ML internally. Our Story Revealed!
Creating a validated and secured Data Science and Model Training for an Enterprise is a challenge that many of us face. In this talk, we will discuss how JFrog applied our sense of good DevOps practices, to automate these AI and ML processes, from ideation and into deployment and production. We will explore:
Co-Founder and Chief Data Scientist at JFrog
Co-founder of JFrog in 2008 (Artifactory and Bintray creator) which delivers solutions for streamlining the process of managing software artifacts in modern development, build and runtime environments. Release Fast or Die! Historically, after years of experiences on C/C++ software, I co-founded AlphaCSP in 1998 to ride the Java wave. AlphaCSP was the first BEA professional services partner in France.
Head of Data Science
Prior to heading the data science practices at JFrog, Matan was the leader of the Artificial intelligence group at IBM’s professional services. He was responsible for developing AI and ML solutions for a variety of enterprise customers. As part of the role, he designed and implemented multiple first-of-a-kind AI solutions such as the first worldwide AI assistant via WhatsApp channel and a unique orchestration platform for supporting multiple AI assistants conversations in a single chat session. In 2017, Matan took a major part in establishing the BI & analysis platform of the Israeli national cyber security centre. He holds a MSc degree in big data and data mining.
