With the increasing importance being placed on ethical AI, organizations are turning more to “explainable AI” -- a set of processes and methods that allow them to understand the output of machine learning algorithms.
- By Mark Do Couto
- February 22, 2024
These data visualizations look at population trends across many countries and their impacts.
- By Upside Staff
- February 21, 2024
Tips for new data scientists, why the U.S. Department of Agriculture is implementing a data science training program, and how AI is changing the job market.
- By Upside Staff
- February 20, 2024
Thanks to AI, next-generation data observability tools will extend beyond identifying problems and explain how to resolve the problem. To do so, your data platforms will need these three key features.
- By Eric Chu
- February 20, 2024
By leveraging end-user trend analysis, your organization can create a proactive, preventive approach to IT management that ensures your employees have the best possible experience.
- By Amitabh Sinha
- February 16, 2024
Learn about basic data management challenges, the importance of app security, and the function of identity governance.
- By Upside Staff
- February 15, 2024
Fern Halper, Ph.D., vice president and senior research director for advanced analytics at TDWI, talks about the six pillars of data governance for artificial intelligence -- including transparency and ethics.
- By Upside Staff
- February 15, 2024
Getting started with data visualization, plus understanding the pros and cons of pie charts and donut charts.
- By Upside Staff
- February 14, 2024
In the last part of our series, we examine how data mesh enhances performance and can help your organizations and data teams work more effectively.
- By Sumit Pal
- February 14, 2024