Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

MLOps Coffee Sessions #138 with Dattaraj Rao, Explainability in the MLOps Cycle, co-hosted by Vishnu Rachakonda.// AbstractWhen it comes to Dattaraj's interests, you'll hear about his top 3 areas in Machine Learning. What he sees as up and coming, what he's investing his company's time into, and where he invests his own time.Learn more about rule-based systems, deploying rule-based systems, and how to incorporate systems into more systems. There is no difference between ML systems and deploying models. It's just that this machine learning model is much smarter than traditional rule-based models.// BioDattaraj Jagdish Rao is the author of the book “Keras to Kubernetes: The Journey of a Machine Learning Model to Production”. Dattaraj leads the AI Research Lab at Persistent and is responsible for driving thought leadership in AI/ML across the company. He leads a team that explores state-of-the-art algorithms in Knowledge Graphs, NLU, Responsible AI, MLOps, and demonstrates applicability in Healthcare, Banking, and Industrial domains. Earlier, he worked at General Electric (GE) for 19 years, building Industrial IoT solutions for Predictive Maintenance, Digital Twins, and Machine Vision.Dattaraj held several Technology Leadership roles at Global Research, GE Power, and Transportation (now part of Wabtec). He led the Innovation team out of Bangalore that incubated video track inspection from an idea into a commercial Product. Dattaraj has 11 patents in the Machine Learning and Computer Vision areas.// MLOps Jobs boardjobs.mlops.community  // MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related LinksKeras to Kubernetes: The Journey of a Machine Learning Model to Production book:https://www.amazon.com/Keras-Kubernetes-Journey-Learning-Production/dp/1119564832Responsible Data Science Research | Talk @ VLDB 2022| Dattaraj Raohttps://www.youtube.com/watch?v=5_19KvSiy8sOperationalizing AI/ML: Journey of an ML Model to Production | Masterclass by Dattaraj Raohttps://www.youtube.com/watch?v=Zk3RiiG07UsDattaraj Rao presenting workshop on MLOps at VISUM 2021https://www.youtube.com/watch?v=wonUvbMDTUAMachine Learning Design Patterns book: https://www.oreilly.com/library/view/machine-learning-design/9781098115777/--------------- ✌️Connect With Us ✌️ -------------Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/Connect with Dattaraj on LinkedIn: https://www.linkedin.com/in/dattarajrao/Timestamps:[00:00] Dattaraj's preferred coffee[01:12] Introduction to Dattaraj Rao[02:57] Takeaways[05:10] This podcast is brought to you by Superwise![06:10] Dattaraj's background[12:37] Top 3 interests of Dattaraj[16:23] Examples of Large Language Models use cases are not a good application[21:44] Future of Large Language Models - change or inherent problem[23:12] Remote Monitoring and Diagnostic[29:25] Keras to Kubernetes book[33:44] Dattaraj's title for his next book[37:12] Machine Learning Design Patterns to keep in mind[43:10] Model registries and multi-tenancy[44:49] Wrap up