Moving to a hybrid cloud analytics model can help you remove analytics roadblocks, but today's new data environment can introduce new problems because it is so complex. Being aware of these issues is the first step to overcoming them.
- By James E. Powell
- December 14, 2018
Results of a recent survey about databases shed light on enterprise use, priorities, and trends.
- By James E. Powell
- December 13, 2018
Prescriptive analytics builds on predictive analytics by evaluating and recommending actions through heuristics (rules), machine learning, and other AI constructs. Here's how it's being used today and its prospects for the future.
- By Brian J. Dooley
- December 10, 2018
As society strives to master artificial intelligence, it is recognizing the need for explainable AI. This emerging trend will force organizations to create models that are effective and good for society.
- By Troy Hiltbrand
- November 26, 2018
The hidden costs of IoT device vulnerabilities, the new issues IT departments have to handle with cloud computing, and how machine learning can accelerate data governance.
- By Upside Staff
- November 15, 2018
Data warehousing is not dead, but it is changing as new technologies, including Hadoop and cloud platforms, have an impact.
- By David Stodder
- November 8, 2018
How healthcare firms are using predictive analytics, AI, and machine learning today.
- By Upside Staff
- October 23, 2018
Reasons not to be a data scientist, how to ensure you’re ready for machine learning, how to determine what kind of analytics you need.
- By Upside Staff
- October 18, 2018