Summary: At the Open Source Summit, a few weeks ago, IBM and Linux Foundation announced the public availability of Machine Learning eXchange or MLX. Fast forward to KubeCon NA (2021), IBM open-sourced ModelMesh, a core component of Watson. We sat down with Animesh Singh, CTO of Watson Data and AI Open Source Platform at IBM to deep dive into these announcements and updates. Topics we covered in this show include: Animesh explained more about MLX, what it does and how it’s going to help data-scientist and data teams in managing the life-cycle of all of your data and AI artifacts. What other AI/ML open source projects is IBM involved with at the Linux Foundation? At KubeCon IBM made many announcements including taking KFServing out of Kubeflow and renaming it as KServe as an independent project on GitHub. IBM also announced taking the core component of Watson for \ model serving and management, called ModelMesh and releasing it as an Open Source project. He explained the governance of both projects. We also discussed if it's fair to say that just the way we used to talk about digital transformation as the core of modern businesses, it’s now time to start talking about AI/ML as core part of software strategy for modern businesses? Is it fair to say the modern world runs on AI/ML? Guest: Animesh Singh (LinkedIn, Twitter) Company: IBM (Twitter)