Jun Wu, Forbes – October 9, 2020 Most of this year, enterprises have been reviewing the lessons learned in the past few years from their Enterprise AI initiatives, i.e., what has worked, what hasn’t, and how to move forward to modernize their infrastructures and take full advantage of AI. According to Garner’s recent research report, […]
Stu Bailey, Forbes – June 30, 2020 There’s a growing awareness of the widening gap between the ability of data scientists to create models and the ability to deploy them in production. This has driven growing interest in ModelOps, which is the enterprise-wide discipline that enables organizations to scale and govern their AI initiatives by […]
By Shrikant Dash – August 22, 2020 This is the first part of a 2-part blog series. Part 1: The Organizational Case/Context for Model Production In the last five years, the proliferation and maturing of open-source computational tools and an expansion in modeling techniques as well as the availability of low-cost elastic private and public […]