Marketing Analytics, Data Science and Leadership – November 9, 2020 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science, and leadership you should be reading.

IBM AI algorithms can read chest X-rays at resident radiologist levels via @ibmresearch

The growth in imaging orders and the availability of high-resolution scanners have led to large workloads for radiologists. Coupled with lower resolution imaging, cognitive biases, and system factors, they are leading to overcalls or missed findings by radiologists.

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The Answer to Paying Down Organizational Data Debt via @insidebigdata

Businesses need to measure current costs and risks associated with poor data quality to ensure these costs aren’t contributing to their Data Debt.

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How using fraud data analytics could save your firm big money via @HowardITWC

A bright staffer in the audit department decided to add data analytics to the unit’s tools.

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Microsoft and Google Open Sourced These Frameworks Based on Their Work Scaling Deep Learning Training via @kdnuggets

Conceptually, Pipeline-parallel computation involves partitioning the layers of a DNN model into multiple stages, where each stage consists of a consecutive set of layers in the model.

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