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Rackspace Technology Achieved AWS Machine Learning Competency


Rackspace Technology.,a leading end-to-end, multicloud technology solutions company, has achieved Amazon Web Services (AWS) Machine Learning Competency status 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).

Achieving the Applied Artificial Intelligence (Applied AI) and Machine Learning Operations (MLOps) category differentiates Rackspace Technology as an AWS Partner with deep domain expertise and proven customer success.

“Rackspace Technology is proud to be one of the first AWS Partners to achieve the new Applied AI and ML Ops category status,” said Jeff Deverter, CTO, Solutions at Rackspace Technology. “Our team is dedicated to helping companies achieve their business transformation goals by leveraging the agility, breadth of services, and pace of innovation that AWS provides and accelerating a customer’s ability to move to Cloud Native. Our new category status further spotlights our strengths in the data practice and our strong achievements with AWS.”

Applied AI empowers a customer’s data to make automated recommendations, take preemptive action, and streamline decision-making while leveraging the Rackspace Technology proven cloud-native AI frameworks and deep expertise to design, develop, deploy, and maintain ML applications. ML Ops significantly reduces the ML lifecycle with Rackspace Technology model factory framework leveraging automation, an easily repeatable model, and resource training to achieve rapid development, training, scoring and deployment of models.

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