Pitfalls in using machine learning for scientific study, applications for AI in investment, carefully using AI in hiring.
- By Upside Staff
- February 28, 2019
How to stay realistic with data science, today’s leading data science tools, and how Twitter data is applied to research.
- By Upside Staff
- February 19, 2019
A case study for smart heating, forecasting the flu, and improving healthcare with analytics.
- By Upside Staff
- February 14, 2019
These articles provide perspectives on how skills and training might soon be viewed by employers in machine learning, data science, and other AI-enabled fields.
- By Upside Staff
- February 12, 2019
How to hire AI skills, how fast those skills lose value, and new models to help solve AI blind spots.
- By Upside Staff
- February 5, 2019
What causes bias in data and technology, how enterprises can avoid ethics violations, and how big tech companies are being challenged on privacy regulations.
- By Upside Staff
- January 29, 2019
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