Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Cloud Wars Live with Bob Evans

How Workday Applies AI and ML Technologies to Healthcare Industry | Workday's John Kravitz on Innovation Agenda

17 May 2023

Description

How Workday Applies AI and ML Technologies to Healthcare IndustryThe Big Themes:Patient-centered care: Workday applies AI and ML technologies to deliver on its promise of delivering patient-centered care, by looking closely at past patient records. "Already, we have seen that AI and ML apply to help our diagnosis, to help with automation, to help guide our care recommendations, and so much more," notes Kravitz.Industry-specific capabilities benefiting patients and providers: Workday's industry-specific capabilities are being utilized by over 375 healthcare systems. The same notion can be applied to other industries, too. Workday releases two major system upgrades a year to its industry-specific software.Driving digital innovation agenda: To drive the digital innovation path forward, Workday offers a true enterprise management cloud for healthcare. "And it's the same cloud for all systems, all environments, and all industries," explains Kravitz. "But the Workday platform is built on an intelligent data core that takes security, privacy, compliance, organizational hierarchy and analytics, and business policies into account as the foundation for the dynamic platform." The Big Quote: "The difference from Workday and other companies that have moved to the cloud, is we didn't have an application that was developed for your data center, and then migrate that to the cloud. Ours was built in 2005, and, the idea behind it was to start moving to the cloud, you know, 18 years ago, we decided we're gonna build it in the cloud. So all the intelligent data core and the frameworks were all built-in with the cloud in mind from day one. So I think that's an important factor." Visit Cloud Wars for more.

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.