Data Privacy and Efficiency with Bacalhau Compute Over Data

In this episode, David Aronchick, CEO and Co-founder of Expanso discusses his experiences and insights from working with Kubernetes since its early days at Google. David shares his journey from working on Kubernetes to co-founding Kubeflow and his latest project, Bacalhau, which focuses on combining compute and data management in distributed systems. Highlighting the challenges of data processing and privacy, particularly in edge computing and regulated environments, David emphasizes cost-saving benefits and the importance of local data processing. Throughout, privacy and regulatory concerns are underscored along with solutions for efficient and secure data handling. 00:00 Introduction and Welcome 00:23 Early Days of Kubernetes 01:05 Kubernetes Community and Evolution 02:23 AI, ML, and KubeFlow 03:40 Current Work and Data Challenges 08:20 Privacy and Security Concerns 14:21 Real-World Applications and Benefits 20:42 Conclusion Learn more about Intel® Liftoff for Startups: https://www.intel.com/content/www/us/en/developer/tools/oneapi/liftoff.html Learn more about our collaboration with Expanso in the Open Platform for Enterprise AI (OPEA) project: https://opea.dev Guest: David Aronchick, Founder and CEO at Expanso, formerly led open source machine learning strategy at Azure, managed Kubernetes product development at Google, and co-founded Kubeflow. Previous roles at Microsoft, Amazon, and Chef.