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
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
AI and automation are making it easier for users to find the data they need.
- By David Stodder
- September 28, 2020
Using predictive analytics can help utilities safeguard revenues and protect at-risk customers.
- By Alison Alvarez
- September 25, 2020
Using wearable health data for insurance, AI in medical devices, and IoT sensors in hospitals.
- By Upside Staff
- September 22, 2020