The fate of Feature Engineering: No longer necessary, or much easier?

Feature engineering

Feature engineering occupies a unique place in the realm of data science. For most supervised and unsupervised learning deployments (which comprise the majority of enterprise cognitive computing efforts), this process of determining which characteristics in training data are influential for achieving predictive modeling accuracy is the gatekeeper for unlocking the wonders of statistical Artificial Intelligence.

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Facebook’s feckless ‘Fairness Flow’ won’t fix its broken AI

AI Fairness

Facebook today posted a blog post detailing a three-year-old solution to its modern AI problems: an algorithm inspector that only works on some of the company’s systems. Up front: Called Fairness Flow, the new diagnostic tool allows machine learning developers at Facebook to determine whether certain kinds of machine learning systems contain bias against or towards specific groups of people. It works by inspecting the data flow for a given model.

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How to choose the best MLOps platform for your organization

Man at workstation

MLOps (Machine Learning Operations) facilitates the collaboration between data scientists, ML engineers, and IT operations. The idea behind this practice is to have one place to deploy, manage, and govern machine learning models, in order to increase efficiency and lower failure rate.

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The next-level of operationalizing Machine Learning: Real-time Data Streaming into Data Science Environments

2 people network infrastructure

New Stack’s Streaming Data and the Future Tech Stack report (2019) show a 500% percent increase in the number of companies processing data in real-time for AI/ML use cases. And experts posit a more massive increase in the number of companies following this trend as we approach 2021.

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Video highlights: AI’s role in fight against COVID-19

Corona Virus graphic

Legal and compliance technology company, Relativity premiered its latest installment of its On the Merits documentary series, which aims to showcase how people use data for the greater good. This year’s documentary explores how AI was leveraged in the race for answers around COVID-19.

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