Why data privacy is important in 2019, how the data science job market is going, and popular side jobs.
- By Upside Staff
- January 24, 2019
AI was big news in 2018, but we overlooked the two distinct aspects of AI -- how it can augment human decision making or automate decision making. Here's why the distinction is important.
- By Barry Devlin
- January 22, 2019
The potential of big data is thrusting AI and machine learning into an indispensable role.
- By Ira Cohen
- January 18, 2019
No matter what industry you're in, autoML can help you use machine learning successfully and extract and leverage business insights hidden in places where only machine learning can reach.
- By Abhi Yadav
- January 15, 2019
How humans cause bias in machine learning, how marketers can improve personalization, and why some problems might not be solvable.
- By Upside Staff
- January 15, 2019
The intersection of machine learning and IoT is creating a need for new ways of thinking about -- and understanding -- data, sensors, citizen data scientists, and a host of other issues.
- By Brian J. Dooley
- January 14, 2019
Improving predictive analytics, the dangers of customer unfriendly AI, and new medical uses for machine learning.
- By Upside Staff
- January 10, 2019
Executive survey on new technology adoption, how new trends are changing assumptions about databases, and top trends for technology and related skills.
- By Upside Staff
- January 8, 2019