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Rackspace joins McChrystal Group's 'team of teams' to analyze data on management firm's clients FacebookTwitterEmail General (Ret.) Stanley McChrystal speaks on Feb. 11, 2019, at the kickoff event of Priority Midland. Tim Fischer/Reporter-TelegramTim Fischer, Photographer Retired Army Gen. Stanley McChrystal’s consulting firm has enlisted Rackspace Technology to help battle time-consuming and costly data analysis. The San Antonio-based cloud computing company is employing machine learning to analyze surveys the McChrystal Group uses to assess its clients and their business environments. The aim is to build analytical models to help companies make decisions. It’s a relatively new line of business for Rackspace, which has focused mainly on providing cloud computing services to business.
(1) SAN ANTONIO, May 05, 2021, a renowned advisory services and leadership development firm that helps organizations identify opportunities to improve their performance so they can operate optimally in today's complex environments. Leveraging AWS, Rackspace Technology worked closely with the McChrystal Group leadership-development organization to transform a time-consuming and labor-intensive process that was being used to analyze surveys by implementing an automated natural language machine learning (ML) data processing solution. The team then selected the right tools and ML models to ensure the delivery of high-value data derived from processing responses to open-ended questions. The solution transformed a time-consuming and labor-intensive process using an automated natural language ML solution.
(1) SAN ANTONIO, April 20, 2021status in the new Applied Artificial Intelligence (Applied AI) and Machine Learning Operations (ML Ops) categories. This designation recognizes that Rackspace Technology has demonstrated deep experience and expertise in building or integrating machine learning (ML) solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions for the business, from creating, automating, and managing end-to-end ML workflows to modernizing applications with machine intelligence. The AI and ML driven applications are maturing rapidly and creating new demands on enterprises. AWS is keeping pace and continuously evolving AWS Competency Programs to provide customers an ability to engage enhanced AWS Partner technology and consulting offerings. AWS launched the two new categories within the AWS Machine Learning Competency to help customers easily and confidently identify and engage highly specialized AWS Partners with Applied AI and MLOps capabilities. With this program expansion, customers will be able to go beyond the current data processing and data science platform capabilities and find experienced AWS Partners who will help productionize successful models (MLOps) and find off-the-shelf packages for their business problems (Applied AI).