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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. There was some research published earlier in 2020 that found that traditional, less complex algorithms can be nearly as good or better than deep learning on some tasks.

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Five Data Analytics Mistakes Marketers Make (And How to Avoid Them)

Sisense

This illuminates a disconnect: Marketers understand data’s significance, but they don’t know how to use it to best serve their business objectives. When you discover data that means something, you need to be agile enough to make experimental changes.”. She’s been published in Shore Magazine, the Indy Star, and Time Out Chicago.

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The Marketing Analytics Intersect: My Newsletter!

Occam's Razor

I do not plan to publish the newsletters anywhere (no web versions, not even an archive), to allow for more openness and intimacy. It really depends on what your business objectives are! Example: Free report: Do You Need Real Loyalty as a Publisher? ]. I do plan to still engage actively. Bounce rate is a metric.