How to use data science for hiring and retention, why you should avoid relying on one employee’s knowledge, and what the next big data role to hire might be.
- By Upside Staff
- September 20, 2018
Goal is to ensure that AI capabilities maintain integrity and trust in its solutions.
Why you should avoid rainbow color schemes, alternatives to consider, and best practices for color use.
- By Upside Staff
- September 19, 2018
Real challenges that data scientists face, steps to develop a great data science project, and how to tell if you need data science.
- By Upside Staff
- September 18, 2018
Bringing analytics closer to decision makers has long been a goal of both IT and business leaders. Data democracy is one important step toward maintaining competitiveness and promoting growth.
- By Brian J. Dooley
- September 18, 2018
Organizations can take advantage of the latest data cataloging technology to bring users closer to a complete view of information.
- By David Stodder
- September 17, 2018
Machine learning can enable new forms of predictive analytics and embed algorithm-driven intelligence into many software applications. However, none of that is possible without the right data, captured and processed the right way.
- By Philip Russom
- September 14, 2018