Building Ethical Data Practices in Cross-Functional Communities | Featuring Kevin Hartman, Databricks - Part 2

Listen to Part One of our interview with Kevin here wherever you get your podcasts - or find a link at the bottom of the Show Notes. *** In part two of this episode, we continue our conversation with Kevin Hartman, Head of Partner Solutions Architects in the Americas at Databricks and Lecturer at UC Berkeley. A visionary in the tech and data space, Kevin shares how his work at Databricks exemplifies collaboration across industries, academia, and diverse disciplines. From open-source technology to fostering grassroots initiatives like the LMOps program, Kevin emphasizes that sustainable solutions come from a commitment to openness and shared innovation. Highlighting the vibrant culture at Databricks where passion and innovation go hand in hand, the company has evolved from pioneering Apache Spark to introducing cutting-edge technologies like the Photon engine, Delta Lake, and MLflow. Breaking down silos—whether in data or among people—has been central to their success, enabling an exchange of ideas that fuels continuous improvement. Tune in to explore Kevin’s philosophy, Databricks’ journey, and how open-source principles are shaping the future of data science. Links and resources: Link to Part One. Connect with Kevin Hartman on LinkedInSponsor: CorrDyn, a data consultancy