As society strives to master artificial intelligence, it is recognizing the need for explainable AI. This emerging trend will force organizations to create models that are effective and good for society.
- By Troy Hiltbrand
- November 26, 2018
Why machine learning messes up, facial recognition doesn’t work, and AI isn’t what most people think it is.
- By Upside Staff
- November 20, 2018
Humans see less data as businesses collect more of it, which means we need something beyond data scientists.
- By Barry Devlin
- November 19, 2018
The hidden costs of IoT device vulnerabilities, the new issues IT departments have to handle with cloud computing, and how machine learning can accelerate data governance.
- By Upside Staff
- November 15, 2018
How smart developers can help their enterprises get the most value from data.
- By Web Webster
- November 14, 2018
Read about new big data practices, how big data is being applied for good purposes, and how AI and NLP are changing the use of big data.
- By Upside Staff
- November 13, 2018
Semantic knowledge graphs accelerate data engineering for machine learning, helping you maximize results.
- By Sean Martin
- November 9, 2018
Getting a great candidate for a job requires writing a good job description and being careful about AI-driven hiring trends. Plus, how data science is applied to higher education.
- By Upside Staff
- November 8, 2018