To alleviate the drudgery of data preparation for your data science team, look for solution providers that are augmenting their data management platforms by using artificial intelligence, machine learning, and advanced analytics.
- By Troy Hiltbrand
- May 20, 2019
Using these four properties will help data scientists successfully establish the right environment for the next breed of smart applications.
- By Michael Berthold
- May 17, 2019
How to approach the study of AI and how machine learning may predict risky behavior from police officers or patients.
- By Upside Staff
- May 16, 2019
Major brands and observers who analyze them both take advantage of modern data-driven insights. These visualizations explore diverse makeup shades, popular office snacks, and the spread of counterfeit goods.
- By Upside Staff
- May 15, 2019
How the data science hiring market is changing, how to retain data scientists, and what new skills data scientists need.
- By Upside Staff
- May 14, 2019
Despite the push into AI and ML, enterprises should be focused on the data platform.
- By James E. Powell
- May 14, 2019
A combination of relational and non-relational technologies opens the path for the level of adaptive, contextual information management urgently needed by modern business.
- By Barry Devlin
- May 13, 2019
What characteristics do third-generation cloud data warehouses share?
- By James E. Powell
- May 10, 2019