The Future of Enterprise AI? AI in Production!

What this episode covers

What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order - that’s because it is! However, large advanced organizations (yes, even outside of the tech sector) are already seeing success deploying AI solutions and we can expect the pace to accelerate rapidly in the next 1-2 years.To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes. Join us as we discuss:The pressure to shift from experimentation to productionBreaking down the data, infrastructure and organizational silosBest practices for tackling governance, security and cost challengesExamples of AI efficiency gains in healthcare, pharma, and beyond

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How long is this episode of Data Science Leaders?

This episode is 42 minutes long.

When was this Data Science Leaders episode published?

This episode was published on March 5, 2025.

What is this episode about?

What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order - that’s because it is!...

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