In this episode, Andreea Munteanu of Canonical discusses Data Science Stack, an out-of-the-box machine learning environment solution. Emphasizing the industry's shift to Kubernetes and cloud native applications, she outlines her vision for accessible and secure open source AI. The conversation also covers the importance of community contribution, challenges faced by data scientists, and the future of AI being open source.
00:00 Introduction
01:50 Data Science Stack Introduction
03:31 Community and Collaboration
06:30 Getting Started with Generative AI
08:56 Andreea's Journey into Data Science
10:59 The Future of AI and Open Source
14:57 Encouraging Open Source Contributions
17:28 Conclusion and Final Thoughts
Guest: Andreea Munteanu helps organizations drive scalable transformation projects with open source AI. She leads AI at Canonical, the publisher of Ubuntu. With a background in data science across industries like retail and telecommunications, she helps enterprises make data-driven decisions with AI.
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My Favorite Murder is a true crime comedy podcast hosted by Karen Kilgariff and Georgia Hardstark. Each week, Karen and Georgia share compelling true crimes and hometown stories from friends and listeners. Since MFM launched in January of 2016, Karen and Georgia have shared their lifelong interest in true crime and have covered stories of infamous serial killers like the Night Stalker, mysterious cold cases, captivating cults, incredible survivor stories and important events from history like the Tulsa race massacre of 1921. My Favorite Murder is part of the Exactly Right podcast network that provides a platform for bold, creative voices to bring to life provocative, entertaining and relatable stories for audiences everywhere. The Exactly Right roster of podcasts covers a variety of topics including historic true crime, comedic interviews and news, science, pop culture and more. Podcasts on the network include Buried Bones with Kate Winkler Dawson and Paul Holes, That's Messed Up: An SVU Podcast, This Podcast Will Kill You, Bananas and more.