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
Machine learning projects too often get stuck in the lab. Bringing the discipline and efficiency of DevOps into AI/ML practices helps move your models to production with ease, even at scale and in real time, and manage and monitor them over time for optimal results.
- By Yaron Haviv
- 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
Using sound to understand data and data to understand sound.
- By Upside Staff
- October 14, 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
When new technology demands efficient automated services, cloud orchestration is the easiest solution for managing multiple tasks and resources.
- By Swamini Kulkarni
- October 13, 2020