AI in the enterprise: Creating incremental value that's adding up fast paid Workday
Artificial intelligence , especially machine learning, promises to transform the enterprise as we know it. But just how close is AI to widespread adoption?, I had the privilege to listen in on a fascinating discussion about AI and machine learning with Joe Korngiebel, Workday’s senior vice president, enterprise technology, and tech leaders from two U.K.-based companies.
Read on to learn how David Henderson, chief technology officer at Global Radio, and Russell Smith, head of IT: HR, legal and global sustainability at AstraZeneca, are starting to deal with these game-changing tools in this edited transcript of that conversation.: I think every conversation about AI or machine learning has to start with digital, so can you tell us a little bit about your journey to digital transformation?: I’m very blessed.
“For HR, we’re using AI to help remove unconscious bias in job descriptions and recruitment.”—Russell Smith, AstraZeneca: I wanted to talk a little bit about how you define AI and the benefits that you’re getting out of it today from a practical perspective.: I think of it from the perspective of how you apply algorithms to try to solve complex problems, solving things that are commercially interesting but too difficult for our employees to figure out alone.
For example, we capture every single word that’s sung during a song or in an ad break and all those words are transcoded, categorised in an engine and put through sentiment analysis. That’s a lot of data which on its own isn’t that interesting. We can overlay that with demographic, weather and major event data and combine this with behavioural activity data of millions of people listening on our apps such as which songs they like or when they stop listening.
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