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Data Science Leaders

Data Science Leaders

Domino Data Lab
Veröffentlicht: 2025-03-05
© Copyright Domino Data Lab
Data Science Leaders - QR Code
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93 Folgen
Audio
Anhören auf Apple Podcasts
GratisNeu
93 Folgen
Audio
Anhören auf Apple Podcasts
Veröffentlicht: 2025-03-05
© Copyright Domino Data Lab
Aktuelle Folge
The Future of Enterprise AI? AI in Production!

The Future of Enterprise AI? AI in Production!

Länge: 41:29
Abspielen
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
Folgen-ID: 1000698171793
GUID: https://api.spreaker.com/episode/64701225
Erscheinungs­datum: 5.3.2025, 16:00:13

Beschreibung

Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Dr. Kjell Carlsson, for Season 2 as we interview pioneering data science leaders and industry watchers to unearth the secrets to driving transformative business outcomes—and avoiding a myriad of pitfalls—with the latest ML & AI technologies. Our conversations are full of real stories, breakthrough strategies, and unique insights—to help you build your own model for enterprise data science success.

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