6 member touchpoints transformed by machine learning

The artificial intelligence (AI) and machine learning sector is poised for explosive growth in the U.S. and worldwide.

In fact, research from McKinsey has found 45 percent of all work activities globally potentially could be automated by adapting currently demonstrated technology – and some 80 percent of that could be implemented with existing machine learning capabilities.

So what does this mean for credit unions, and how will machine learning impact – and improve – the member experience going forward?

According to Phong Q. Rock, Sr. VP, corporate strategy and business development for Feedzai, more than any other technology, today’s machine learning solutions are able to transform the consumer experience for credit union members – across the entire member lifecycle.

Here are six ways members stand to benefit:

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