Traci is a Partner in KPMG's Data, Analytics & AI Center of Excellence- The Digital Lighthouse - where she leads the US Artificial Intelligence, Analytics and Engineering team. Traci is also responsible for the firm's Global Artificial Intelligence platform, KPMG Ignite. Leveraging 18 years of experience in professional services, Traci helps clients articulate their business opportunities and challenges, understand the implications of using data, advanced analytics and artificial intelligence as part of the solution, as well as, develop and implement plans to realize and measure value.Traci has led numerous large scale programs to assist in translating business needs and challenges into actionable solutions. Traci leads a team of data scientists and engineers focused on delivering artificial intelligence solutions to increase automation, improve accuracy and produce enhanced insights. She has reported to executive-level client decision makers on key initiatives, leveraging her deep strengths in managing complex projects to drive business results. Traci’s experience has focused on developing and executing strategies with a strong emphasis on analytics and technology enablement.View the profile
About the talk
During the AI Summit in San Francisco, Traci Gusher, principal for data, analytics and artificial intelligence at KPMG, talked about the emerging trends in enterprise AI adoption.
KPMG is helping its customers harness the power of AI through something it calls the connected enterprise. AI Business sat down with Gusher to find out more.
Keep up-to-date with all the latest AI news and insight at https://aibusiness.com/
Welcome to a different TV. We're here at the AI Summit San Francisco Rivera. Peace be joined today by Tracy Garcia how we Tracy please tell me what what's on the agenda today. I believe it's the 80 trans Lookout because of a I got a surprise but so funny earlier this year looking at what kind of friends were seeing in large organizations adopting artificial intelligence and the keynote today is a little bit of an overview on I eat one of those eight friends. I'm really what we're singing in terms of AI adoption challenges acceleration Point benefits
and really just kind of digging in about a little bit amazing cake Angie marchetti than what they do. How do you continue to leverage AI machine learning and such to get a kind of meant a new lead? There's certainly a lot of different places and lovers and industries that that we focus on and the breadth and depth of where we're bringing artificial intelligence is pretty deep put one of the ways that said that they said we're really bringing Focus isn't something we call her connected Enterprise and and what this is really about is how do
you connect the back office to the middle office to the front office and bring artificial intelligence through all three layers of an organization up a lot of what we've seen in artificial intelligence in the Enterprise over the last few years has really been very Customer Center map of the bad thing, but we're we've done a little bit stuck on the customer and you know, I don't think anything's going to slow down or focus on customer, but we need to take a step back and be looking at how does that customer experience and they had word riveting for driving in the customer space? How does it
connect the middle office? How does it connect to the back office? And how do we connect it all together? And it's a it's a it's a message then approached. Really resonating with a lot of our clients particularly those that are that are aiming to get both revenue and cost savings benefits out of AI applications Beyond just what they're doing with the customer about a few misconceptions around AI for Enterprise, What would you think there is one of those misgivings I'm a generator is the day that we stay with him in private and I'd be hard-pressed to kind of pick one
and say this is the biggest butt but as soon as it comes to mind our won the the amount of time and effort it takes to train a I I think there's there's there's often a misconception that I'm going to turn the machine on and it's just going to learn and suddenly I'm going to have these amazing insights but it really does take a lot of work to train a i to be effective if I think that's one is at the level of effort it takes from the humans actually trained. I I I think the second is the misconception that is all about replacing humans cuz it really is about a dog. And
I'm one of the things that I talked a lot about with my clients is that the best AI is a guy that is closely connected and complimented by the human involvement. If you don't have close to human involvement in from the very beginning through how it's being applied and then in the organization that it's really a eye for a eye steak vs something that's really going to drive value. So I think that's another one. I didn't think of like this is functions within an organization. Where do you see a I being utilized to toothpaste to fix at the moment. I mean anything
customer-centric is certainly an area where there's a lot of Heavy II adoption and there's some clear benefits that are being generated. I need with completely change the way that that we interact with, you know, as it relates to our overall customer Journey, but but there's a there's a lot of other areas that are really starting to emerge in that middle and back-office one area is is in supply chain. You know things like demand forecasting and improving supply chain functionality. And how do I better get control over my inventory in forecast what I need there's a lot of AI application
happening there today that I think is really proving some significant benefits for organization another areas in finance. So things like intelligent forecasting and being able to sit to bring different types of approaches into the way that we forecast financially. It's something that I think is it is really starting to gain some momentum. Thank you so much.
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