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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Conversational AI use cases for enterprises

IBM Big Data Hub

ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events. In the back end, these platforms enhance inventory management and track stock to help retailers maintain an optimal inventory balance.

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The Hacker Mind Podcast: Going Passwordless

ForAllSecure

Moffatt: I think tokens are typically what I guess happens once somebody has authenticated so once the authentication event is taking place, and you've identified it, yeah, this is some Simon coming back. So the tokens are very important and they are really sort of an output of the sort of authentication event. pretty substantially.