Powered by artificial intelligence, intelligent apps in healthcare, retail, financial services, manufacturing, and transportation are transforming business processes, delivering operational efficiencies and improving customer experiences. But infusing business apps with AI isn’t easy. You need to master the entire AI process from data to models to operationalization so you can build, train, and deploy predictive models that unleash smart business apps and enable data-driven decisions.
Mate Radalj explains how a GPU-accelerated database enables data science teams to develop, test, and train algorithms while making them directly available to business users through point-and-click apps to enable a data-driven enterprise.
This session is sponsored by Kinetica.
Mate Radalj is vice president and principal software engineer at Kinetica. Previously, he was associate vice president and principal technologist at Infosys and a vice president and principal software engineer at SAP. Earlier in his career, Mate worked at Netezza, IBM, SignalDemand, Celquest, Callixa, Softport, Informix, and American International Credit and was a US Army military intelligence officer. Mate holds a BS in computer science from Fordham University.
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