Data

Machine Learning: More Common Than You Think

Headshot of Sue Yasav
By Sue Yasav

[Today, Sue is hosting Sanjay Sidhwani, SVP of Advanced Analytics for Synchrony Financial, as a guest blogger for The Consumer Connection.]

There’s a lot of buzz lately about machine learning. In many ways, it’s transforming the consumer experience and improving the products and operations of many companies. Plus, it’s not just for data analysts — machine learning has real benefits in the lives of the average consumer.

Ever wonder how Netflix serves up recommendations for the next movie or how your smartphone knows that you will be driving to work on Monday morning? Those are both examples of machine learning.

How is machine learning different from ordinary analytics? With traditional methods, an analyst defines the objective and looks for correlations between the objective and a defined set of data inputs.

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Headshot of Sue Yasav

Sue Yasav

Sue Yasav is the VP of Thought Leadership at Synchrony Financial. She's responsible for developing strategic insights through surveys, social listening and academic studies on topics related to the financial services and retail industries. She authors white papers on consumer trends and articulates impactful strategies for marketers in the areas of digital transformation, customer experience and insights into specific growth segments of the U. S. population.  Sue has 20 years of experience in the credit card industry, encompassing 10 years at Citi Cards as VP in the Finance and Marketing organizations.  In the past 11 years at Synchrony Financial, Sue has been a Lean/Six Sigma Master Black Belt, a marketing leader for a high-end retail partner in NYC and the leader of Value Proposition Development.

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