Efficient Data Pipelines for AI and a Healthier World

What this episode covers

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: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.

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How long is this episode of Data Science Leaders?

This episode is 33 minutes long.

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This episode was published on June 19, 2024.

What is this episode about?

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...

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