How to be smart about hiring skills, bring data science projects from abstract to practical, and use augmented analytics to expand data access.
- By Upside Staff
- October 17, 2019
Which languages do programmers want to learn, which pay the most, and which cause more developers to search for help?
- By Upside Staff
- October 16, 2019
The right machine learning algorithms can predict natural disasters, improve customer service, and detect online criminals.
- By Upside Staff
- October 15, 2019
With the advent of algorithmic business, data scientists are a critical resource for the organization of the future. Increased demand creates a tight labor market, forcing companies to look inward to develop their own data scientists.
- By Troy Hiltbrand
- October 11, 2019
Common mistakes with predictive analytics, how predictive analytics can improve staffing, and communication for data scientists.
- By Upside Staff
- October 10, 2019
Film is already a visual medium. What is gained by using data visualization techniques to compare quality, look at box office returns, and explore storylines?
- By Upside Staff
- October 9, 2019
Improving AI with neuroscience, using the public cloud for AI, and putting ML models into production.
- By Upside Staff
- October 8, 2019
How managing change will help self-service analytics deliver value faster.
- By David Stodder
- October 8, 2019