On the AI journey, automation is often the default, depopulated destination. We must consciously choose to empower humans via augmentation.
- By Barry Devlin
- May 31, 2019
One opinion on how data science jobs will change, a survey on current data preparation challenges, and three deadly sins to avoid in your data science practice.
- By Upside Staff
- May 30, 2019
Too many enterprises try to implement data science applications without first deploying the right platform. Iguazio's Asaf Somekh explains why platforms are so important.
- By James E. Powell
- May 24, 2019
New studies are increasing interest in using machine learning to predict health outcomes and improve treatment.
- By Upside Staff
- May 23, 2019
As enterprises adopt AI, they'll need a sound deployment framework that enables security, compliance, and session management.
- By Ramesh Mahalingam
- May 21, 2019
New technologies and techniques can bring great advances, or they can create malicious fake videos, traffic problems, and racial profiling.
- By Upside Staff
- May 21, 2019
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