Bridging Business Needs and Data Assets – Emerj AI Leader Insight

Daniel Faggella

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and leading enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders.

Bridging Business Needs and Data Assets

In the vast land of opportunities that AI creates, how do we select the projects that will generate ROI? Do we gain inspiration from reading AI use-cases relevant to our industries? Do we search through our own lists of existing priorities and hope the applications for AI will become clear?

In May, we sat down with Adam Oliner, Slack’s then-Head of Machine Learning. An industry expert who ran ML for one of Silicon Valley’s most successful start-ups, Oliner took us through the process to discover AI opportunities by bridging business needs to data assets. He then gave us five steps to help us navigate our own unique universes of potential applications for AI and form the connections between our business problems and the galaxies of data scattered among them.

“I think about it as a constellation of potential business problems that you would want to attack with AI on the one hand and a bunch of data on the other hand. And the process of assessing those business problems, assessing t...

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