Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
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Exploring the Past, Present, and Future of AI/ML
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Manage episode 463592898 series 2632853
Content provided by Data Science Salon and Dat Science Salon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Science Salon and Dat Science Salon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two influential leaders in AI and data science to discuss their experiences, challenges, and insights into the evolving landscape of the industry. First, Fatma Tarlaci, Chief Technology Officer at Rastegar Capital, shares her journey as an AI engineering leader, discussing the intersection of technical execution and strategic leadership. She explores the importance of responsible AI, open-source contributions, and aligning technical teams with business goals to drive impactful solutions. Fatma provides actionable insights on fostering innovation while maintaining ethical AI development. Next, Brent Schneeman, Director of AI and Software Engineering at PMG, brings his unique perspective on building high-performing interdisciplinary teams and navigating the evolving expectations in AI and machine learning. He shares lessons learned from his journey, insights into stakeholder collaboration, and the importance of cultivating a “test and learn” culture within organizations. Both guests provide invaluable perspectives on leading AI initiatives, overcoming industry challenges, and staying ahead in an era of rapid technological change. Tune in to gain practical knowledge and inspiration from their experiences.
…
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46 episodes
MP3•Episode home
Manage episode 463592898 series 2632853
Content provided by Data Science Salon and Dat Science Salon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Science Salon and Dat Science Salon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two influential leaders in AI and data science to discuss their experiences, challenges, and insights into the evolving landscape of the industry. First, Fatma Tarlaci, Chief Technology Officer at Rastegar Capital, shares her journey as an AI engineering leader, discussing the intersection of technical execution and strategic leadership. She explores the importance of responsible AI, open-source contributions, and aligning technical teams with business goals to drive impactful solutions. Fatma provides actionable insights on fostering innovation while maintaining ethical AI development. Next, Brent Schneeman, Director of AI and Software Engineering at PMG, brings his unique perspective on building high-performing interdisciplinary teams and navigating the evolving expectations in AI and machine learning. He shares lessons learned from his journey, insights into stakeholder collaboration, and the importance of cultivating a “test and learn” culture within organizations. Both guests provide invaluable perspectives on leading AI initiatives, overcoming industry challenges, and staying ahead in an era of rapid technological change. Tune in to gain practical knowledge and inspiration from their experiences.
…
continue reading
46 episodes
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