Using AI to Fix Everyday Business Problems

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According to research firm, Gartner seventy percent of organizations will seek to boost employee productivity by integrating. A I in workplace systems will happen within the next two years. But I they need to make sure employee's outside of technology hubs are involved in the process at the recent WSJ pro artificial intelligence event in New York, Gina Chung, for example, DHL's lead of innovation for the Americas addresses, first and foremost, how may I can greatly help business. We're working on a range of different AI base problems that the child were structured and unstructured on I'll start with one which was actually what we started with five years ago, which is the use of machine learning for full costing algorithms for variety of different applications, if right planning volume planning on what we did that then was to see if we could shift the way we make how full costs from traditional kind of way of full costing and shifting using machine. Lou. Winning and that was a huge project at the time five years ago at DHL required. Also, a lot of business transformation in by using machine learning and being able to increase the accuracy of L full costing we're actually able to generate an eight digit saving, and that's really what's triggered. I would say data analytics and the topic of AI Michael Clemente, one of Unilever's, vice president of human resources talks about how a is efficiency has been crucial to his business. We started down the journey really talking about fixing the the speed to candidacy so one of the things that many of you probably work on now like when you go to campus recruitment. It's really the same process that you've followed for one hundred years where you go to campus, and you got to pick your schools and go and meet lots of people, and it just takes a long time and it's expensive. So we thought if there's got to be a better way to do that. So the business problem we are really getting at. This. How can we be more efficient more effective save time reduce cost? And so what we tried to what we did is we stop going to campus, and we wanna mentally took that spend and invest it both in in technology and online branding. So people would come to us. It was pretty cool actually what we found in the first year. Just starting that discussion was that we went from being able to go to twenty campuses, spending, months and months and months to go into every campus in America, creating an incredibly diverse base of of applicants and all of the key all of the key KPI's. We wanted to see went in the right direction, increasing diversity increases speed. We went from six months to four weeks in the process, and you know, so it wasn't that the was solving all problems, it was solving the first level of difficulty. And I think that that's one of the cool things that businesses. Now figuring out is the integration of these things. Right. How do you get technology to work with business problems and meters? And if you're thinking that this stuff is getting easier by now, it's not the key to success as always expectation management. So even when we think that eight I would be able to Seoul, something I make it very clear from the beginning. You know, this is cutting edge technology, it's still very nascent at least in our world. And let's just you know, have a fail fast approach and just try it out and do a technical proof of concept before we do a full blown project and governance board around it. So I try to do kind of both, you know, bring people along

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