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Let’s Talk About IBM’s ModelMesh, KServe And Other Open Source AI/ML Technologies | Animesh Singh


Summary: At the Open Source Summit, a few weeks ago, IBM and the 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)

Topics: KubeCon NA 2021, AI/ML

About Animesh Singh: As CTO for Watson AI/ML Open Technology for IBM, Animesh Singh serves as Watson Distinguished Engineer and Executive, and is responsible for Watson AI/ML Platform Open Technology strategy, architecture and execution, delivering joint IBM Watson and Red Hat technical roadmap and products, working with Watson customers and partners, leading IBM leadership and engagement in Linux Foundation Data and AI, Trusted  AI (AI Fairness, Robustness and Explainability) and MLOps (Kubeflow, ML Pipelines, ML Serving) communities. He also drove the strategy and execution for Kubeflow, OpenDataHub and in products like IBM Cloud Private for Data, Watson OpenScale and Watson Machines Learning. Prior to that, he led the launch of IBM Developer as well as the first IBM public cloud offering and launched initiatives around Kubernetes and Istio, Bluemix (Cloud Foundry).

About IBM: IBM is a global leader in hybrid cloud and AI, serving clients in more than 170 countries. More than 2,800 clients use our hybrid cloud platform to accelerate their digital transformation journeys and, in total, more than 30,000 of them have turned to IBM to unlock value from their data. Guided by principles of trust, transparency and support for a more inclusive society, IBM also is committed to being a responsible steward of technology and a force for good in the world.

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