Call them changemakers. Call them rule breakers. We call them Redefiners. And in this provocative podcast, we explore how daring leaders from across industries and around the globe are redefining their organizations—and themselves—to create extraordinary impact in today’s rapidly changing world. In each episode, Russell Reynolds Associates Leadership Advisor Hoda Tahoun and former CEO Clarke Murphy host engaging, purposeful conversations with leaders in and out of the business world who shar ...
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Efficient Data Pipelines for AI and a Healthier World
MP3•Episode home
Manage episode 424368490 series 3279398
Content provided by Domino Data Lab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Domino Data Lab 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.
AI is not all about the data, however, your ability to develop and deploy efficient data pipelines is absolutely critical for unlocking the power of AI at scale. But how do you manage modern data pipelines for AI and how do you deal with fragmented ecosystems and spiraling costs?
In this episode, brought to you from the RevX Philadelphia conference, Richard Swakla, AI/ML Specialist at NetApp, joins us to discuss the current trends and best practices in the life sciences around data and AI.
Join us as we discuss:
To see all of the sessions at the RevX conferences go to domino.ai/revx.
…
continue reading
In this episode, brought to you from the RevX Philadelphia conference, Richard Swakla, AI/ML Specialist at NetApp, joins us to discuss the current trends and best practices in the life sciences around data and AI.
Join us as we discuss:
- The role of AI in enhancing productivity in healthcare and the life sciences, particularly in drug discovery, claims processing and fraud detection.
- The growing importance of hybrid cloud solutions to balance cost, efficiency, and infrastructure access.
- Challenges in transitioning AI projects from pilots to production due to high costs and rapidly evolving models.
To see all of the sessions at the RevX conferences go to domino.ai/revx.
96 episodes
MP3•Episode home
Manage episode 424368490 series 3279398
Content provided by Domino Data Lab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Domino Data Lab 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.
AI is not all about the data, however, your ability to develop and deploy efficient data pipelines is absolutely critical for unlocking the power of AI at scale. But how do you manage modern data pipelines for AI and how do you deal with fragmented ecosystems and spiraling costs?
In this episode, brought to you from the RevX Philadelphia conference, Richard Swakla, AI/ML Specialist at NetApp, joins us to discuss the current trends and best practices in the life sciences around data and AI.
Join us as we discuss:
To see all of the sessions at the RevX conferences go to domino.ai/revx.
…
continue reading
In this episode, brought to you from the RevX Philadelphia conference, Richard Swakla, AI/ML Specialist at NetApp, joins us to discuss the current trends and best practices in the life sciences around data and AI.
Join us as we discuss:
- The role of AI in enhancing productivity in healthcare and the life sciences, particularly in drug discovery, claims processing and fraud detection.
- The growing importance of hybrid cloud solutions to balance cost, efficiency, and infrastructure access.
- Challenges in transitioning AI projects from pilots to production due to high costs and rapidly evolving models.
To see all of the sessions at the RevX conferences go to domino.ai/revx.
96 episodes
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