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 sound to understand data and data to understand sound.
- By Upside Staff
- 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
As the death toll from COVID-19 rose over one million, news organizations tried to convey the scale in multiple ways.
- By Upside Staff
- October 7, 2020
Learn how to select the best visualization to tell your story.
- By Stan Pugsley, Meg Pugsley
- October 6, 2020
To successfully adopt a self-service BI and analytics program, enterprises need a mature governance strategy that is effective, all-encompassing, and realistic. Here are five key components to that strategy.
- By Manish Kedia
- October 2, 2020