Protecting consumer privacy is key to securely providing the huge data sets required for innovations in AI analytics.
- By Michael Zeller
- October 27, 2020
How to mitigate AI risks, improve data governance with stewardship, and understand the role of leadership in data quality and governance.
- By Upside Staff
- October 20, 2020
How do you teach machine learning new tricks? These techniques gleaned from math frameworks, gaming, and human trial-and-error interactions can help guide your AI model training.
- By Ranjana Moolya
- October 19, 2020
To take full advantage of data and analytics, organizations must develop the knowledge and skills to use analytics to drive better business decisions.
- By Alex Campos
- October 16, 2020
Using analytics to compile documents for investigation, governing AI responsibly, and implementing data privacy practices.
- By Upside Staff
- October 15, 2020
As you modernize your tools and platforms for data management to keep pace with evolving business requirements, take time to modernize your data team.
- By Philip Russom
- October 15, 2020
Improving data and system security and simplifying employee access from home are among the pluses for moving to "passwordless" authentication. Overcoming users' resistance to change and the cost of new technology remain obstacles.
- By Richard Seeley
- October 14, 2020
AI’s benefits will be severely diminished if it’s hampered by poor quality data.
- By Bill O'Kane
- October 9, 2020