Protecting consumer privacy is key to securely providing the huge data sets required for innovations in AI analytics.
- By Michael Zeller
- October 27, 2020
Machine learning projects too often get stuck in the lab. Bringing the discipline and efficiency of DevOps into AI/ML practices helps move your models to production with ease, even at scale and in real time, and manage and monitor them over time for optimal results.
- By Yaron Haviv
- October 20, 2020
Planning a high-level data strategy takes solid foundations, the ability to scale, and knowledge about larger trends.
- By Upside Staff
- October 6, 2020
How can you move data analytics from being a cost center to become a revenue generator? Roman Stanek, CEO of GoodData, explains how this transformation drives business growth.
- By James E. Powell
- October 5, 2020
How organizations can respond with agility, performance, and speed to the rapid business changes of the pandemic era.
- By Eva Murray
- September 18, 2020
Data visualizations help us think about how much data is being created, how popular the biggest websites are, and what the future of data looks like.
- By Upside Staff
- September 9, 2020
Our brains have the natural ability to see clusters of like objects and identify outliers. With unsupervised learning algorithms, computers can start doing the same.
- By Troy Hiltbrand
- September 8, 2020
Data protection and careful access control can become part of the value equation when you monetize your data.
- By Zdenek Svoboda
- August 24, 2020