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TDWI Upside - Where Data Means Business

Data Digest: New Uses for Machine Learning

Industries are constantly discovering more applications for machine learning. These articles explain how algorithms are searching for new planets, defending against phishing, and evaluating safety for aircraft configurations.

Data Digest: Deploying and Applying AI

Best practices for AI deployments, enhancements for chatbots, and how to scale AI and machine learning.

Tackling Bias and Explainability in Automated Machine Learning

Automated machine learning is likely to introduce two critical problems. Fortunately, vendors are introducing tools to tackle both of them.

How Automation Is Impacting Jobs During the Pandemic

No matter what impact automation will have on jobs in the future, it's instructive to look at the effect it is having now during the COVID-19 pandemic.

Case Study: Tracking Human Mobility with Mobile Data Amid COVID-19 Lockdown

Did Parisians change their behavior when social distancing regulations were implemented? Here's how one organization conducted detailed research using data on human mobility to check the accuracy of anecdotal news media reports.

Sorting Out AI Job Titles, Skills, and Career Paths

Looking for a job in artificial intelligence? AI job titles vary wildly, which complicates job searches. Dr. Feiyu Xu, global head of artificial intelligence for SAP Cloud Platform, helps decode AI job titles and explains what skills each position needs.

Data Digest: AutoML, MLOps, and Algorithm Choice

Learn about the state of AutoML, the basics of MLOps, and finding the right data science algorithm.

Executive Perspective: Directions in Analytics

From digital twins and contextual AI to graph databases and analytics democratization, many analytics changes are ahead. Todd Blaschka, chief operating officer at TigerGraph, sorts out which trends are worth watching.

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