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
Latest version accelerates data tagging, onboarding, and encryption for GDPR, CCPA, and LGPD compliance.
New functionality enables secure data sync from cloud to edge and directly between edge devices for enhanced application availability and responsiveness.
Using analytics to compile documents for investigation, governing AI responsibly, and implementing data privacy practices.
- By Upside Staff
- October 15, 2020
New release provides enhanced security and policy engine for large-scale workloads.
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