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Agiloft Named a Strong Performer in Contract Lifecycle Management Report

Agiloft Named a Strong Performer in Contract Lifecycle Management Report Agiloft contract lifecycle management (CLM) suite recognized for easy workflow configuration and extensions by independent research firm. News provided by Share this article Share this article REDWOOD CITY, Calif., March 4, 2021 /PRNewswire/  Agiloft, the global standard in no-code contract and commerce lifecycle management, today announced that global research and advisory firm Forrester recognized the company as a Strong Performer in The Forrester Wave™: Contract Lifecycle Management for All Contracts, Q1 2021. Forrester identified the 11 top vendors in the space, researching, analyzing, and scoring their products on 32 evaluation criteria broken into three categories: current offering, strategy, and market presence.

Is overseeing cloud operations the new career path to CEO? – TechCrunch

Is overseeing cloud operations the new career path to CEO? At Microsoft, IBM and Amazon, signs point to yes When Amazon announced last week that founder and CEO Jeff Bezos planned to step back from overseeing operations and shift into an executive chairman role, it also revealed that AWS CEO Andy Jassy, head of the company’s profitable cloud division, would replace him. As Bessemer partner Byron Deeter pointed out on Twitter, Jassy’s promotion was similar to Satya Nadella’s ascent at Microsoft: in 2014, he moved from executive VP in charge of Azure to the chief exec’s office. Similarly, Arvind Krishna, who was promoted to replace Ginni Rometti as IBM CEO last year, also was formerly head of the company’s cloud business.

Enterprise IT Leaders Face Two Paths to AI

Informationweek Enterprise IT Leaders Face Two Paths to AI Enterprise IT leaders no longer always need to follow the build-it-yourself path to AI. Here s how the market will shape up in the future. First mover organizations in the initial wave of big data, machine learning, and artificial intelligence generally had to blaze their own paths. The technology leaders inside of these organizations hired the expensive and hard-to-find unicorn data scientists to build their own data science platforms by cobbling together open-source tools and technologies. But while some enterprises may continue to build their own, greater market maturity in the data, machine learning, and AI space is establishing some easier and less expensive paths for other leaders help their organizations gain a foothold with these technologies.

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