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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.

Executive Perspective: DataOps in Volatile Times

Chris Bergh describes himself as "CEO and Head Chef" of DataKitchen, a company that enables analytics teams to iterate and innovate with their DataOps platform. He shares his enthusiasm for DataOps in this interview, explaining what makes it so popular and what's driving its adoption, as well as how to get the most from AI.

Data Digest: Collaboration, Probable Answers, and Ethics for Data Science

How data scientists can work with data engineers, why data science doesn’t provide hard answers, and establishing ethical guidelines.

Data Digest: Machine Learning Errors, Sales Applications, IoT for Monitoring

Avoiding machine learning problems, using ML to help sales, and using IoT for machine monitoring.

Data Digest: How Machine Learning Affects Decision Making, Computing Resources, and Coronavirus Testing

Getting started with machine learning, the challenge of training multiple ML models, and how machine learning may improve pooled testing programs.

Data Digest: Data Science Culture, Hiring, and Training

How to support data science projects, hire the right skills, and train for data science work.

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