Machine Learning Week, Predictive Analytics World, June 19-24, 2022 l Caesars Palace, Las Vegas
1.30PM, June 21, 2021
Case Study: AT&T, Walmart, Barclays, MTN, Chrysler
Making AI work in real applications involves a lot more work below the surface than the AI hype would have you believe. The weaknesses of AI and machine learning algorithms have been compensated for by the availability of a lot more data. For organizations to succeed in the new digital economy of interactions, data (structured and unstructured) has to be turned into an asset that is easy to collect, manage and utilize. We cover some of the lessons learned in making AI work in the context of case studies at Fortune 500 companies.