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
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
How companies are using AI to cope with COVID-19 and improve business decisions, plus how AI applications are different from AI research.
- By Upside Staff
- October 13, 2020
AI’s benefits will be severely diminished if it’s hampered by poor quality data.
- By Bill O'Kane
- October 9, 2020
Using AI to manage COVID-19 risks and applying predictive models for multiple kinds of retail.
- By Upside Staff
- October 8, 2020