The market for machine learning grows, automation expands on Wall Street, and how machine learning may help treat depression.
- By Lindsay Stares
- April 13, 2017
Both humanitarian aid workers and climate researchers are seeking answers in data science; meanwhile, Google is moving in on the enterprise cloud market.
- By Lindsay Stares
- March 21, 2017
Companies with customers, supply chains, partners, and offices in multiple countries must understand how cross-border data restrictions affect cloud computing policy.
- By William McKnight
- March 17, 2017
Financial services can benefit from the many competitive use cases enabled by artificial intelligence and machine learning, but adoption has been slow.
- By Brian J. Dooley
- March 13, 2017
O'Connell spoke recently about his work "at the confluence of analytics software and customers' business problems" and what he sees as the future of AI solutions.
- By James E. Powell
- March 10, 2017
Data availability for the visually impaired, good cloud security practices, and SQL’s importance for data science.
- By Lindsay Stares
- March 9, 2017
In order to use advanced analytics insights, we must identify and control for our biases. In all likelihood, we're going to be surprised by what we find.
Data originating on cloud or migrating to cloud demands best practices just as other valuable data assets do.
- By Philip Russom
- March 6, 2017