Data Privacy and Efficiency with Bacalhau Compute Over Data

Open at Intel

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.