Measure, Monitor and Manage AI Models for ROI

Simply rolling out an AI solution isn’t going to ensure ROI; there is no one-size-fits-all approach. Multiple discrete AI algorithms should be coordinated and orchestrated in line with business processes and AI models to ensure the desired business outcomes complement each other. Business leaders should also continuously monitor and challenge AI’s performance and fine-tune algorithms so their AI solution doesn’t deviate from the anticipated performance outcome needed to ensure ROI. In this second installment of our three-part podcast series ‘Upping Your Data Game: How Leaders Are Getting Greater Bang from AI’, Ben Pring, Co-founder and Managing Director of Cognizant’s Center for the Future of Work, Bret Greenstein, Senior Vice President of Cognizant’s AI & Analytics Practice, Damon Caiazza, Director of Digital Strategy and Innovation at AbbVie, and Michele Goetz, Vice President & Principal Analyst at Forrester, discuss the mainstreaming of machine intelligence, causality clarity and workarounds for AI’s success.

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