The Ecommerce Intelligencer

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machine learning

Here’s our top retail tech prediction for 2018

  Hari Viswanath      January 16, 2018

What do the shopping season, the 2018 Tax Bill, Artificial Intelligence and Omnichannel all have in common?

Product Matching — A Visual Tribute

  Govind Chandrasekhar      July 27, 2017

Product matching is a challenging data-science problem that we’ve been battling for several years at Semantics3. The variety of concepts…

The GIGO Principle in Machine Learning

  Govind Chandrasekhar      July 05, 2017

And its implications for PMs, designers, salespeople and data scientists

“Hot Dog and a Not Hot Dog”: The Distinction Matters

  Govind Chandrasekhar      May 18, 2017

And why Periscope Should’ve Held Out for a Little Longer

Questions & Intuition for Tackling Deep Learning Problems

  Govind Chandrasekhar      May 09, 2017

Working on data-science problems can be both exhilarating and frustrating. Exhilarating because the occasional insight that boosts your…

Inside the AI-as-a-Service Phenomenon

  Govind Chandrasekhar      April 18, 2017

And a peek into AWS’s latest playbook

How to avoid your own personal AI winter

  Hari Viswanath      April 11, 2017

It’s not the algorithms — it’s the data, silly!

Measure twice, cut once — Questions before starting with machine learning

  Semantics3      February 28, 2017

With many articles promoting machine learning as the magic bullet to solve tough problems, the pressure has never been higher for data…

Here’s what Consumers Expect in the Age of AI

  Semantics3      January 19, 2017

Part 1 of a three-part series on the “Future of Ecommerce Search”

This year’s #NRF17 is going to be epic

  Semantics3      January 05, 2017

Put retailers (flush with their 2016 shopping season winnings) and e-commerce tech companies together, and you could have happy fireworks