Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more from just $11.99/month.

846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar

UNLIMITED

846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar

FromSuper Data Science: ML & AI Podcast with Jon Krohn


UNLIMITED

846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar

FromSuper Data Science: ML & AI Podcast with Jon Krohn

ratings:
Length:
18 minutes
Released:
Dec 20, 2024
Format:
Podcast episode

Description

In this Five-Minute Friday, Jon Krohn speaks to Anu Jain, CEO of Nexus Cognitive, and Mahesh Kumar, CMO of Acceldata. They talk about the importance of updating data, especially for predictive models that make key financial decisions for a company, as well as the current state of data governance and why it’s overdue its own update.

Additional materials: www.superdatascience.com/846

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
Released:
Dec 20, 2024
Format:
Podcast episode

Titles in the series (100)

The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.