Press Release

Rackspace Technology Achieved AWS Machine Learning Competency in New Applied AI and ML Ops Categories

April 20, 2021
PDF Version

SAN ANTONIO, April 20, 2021 (GLOBE NEWSWIRE) -- Rackspace Technology®(NASDAQ: RXT), a leading end-to-end, multicloud technology solutions company, announced today that it 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.

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify Consulting and Technology AWS Partners with deep industry experience and expertise.

Rackspace Technology Applied AI and ML Ops Case Studies

Brave Software
Rackspace Technology worked with Brave Software, Inc, a company that provides a free, open-source private and secure web browser for PC, Mac and mobile environments, to improve the scalability of Brave’s software, increase the team’s efficiency and reduce infrastructure costs by 50 percent.

Once on AWS, Rackspace Technology made critical improvements in automating Brave’s ML processes by employing ML Ops Foundations to provide an architecture pattern for Brave. These cloud-based data pipelines provided a consistent structure for ML development, training and deployment, accelerating the process of publishing new models from several days to several hours. As a result of improvements to ML testing and functionality.

“Working with Rackspace Technology and AWS was beneficial to the continued success and scaling of Brave,” said Jimmy Secretan, VP of Services and Operations, Brave Software. “It substantially improved the way we created and deployed new models, which has helped us to be much more responsive to advertisers’ needs."

McChrystal Group
McChrystal Group, 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, worked with Rackspace Technology to develop a machine learning-based natural language processing algorithm to analyze surveys faster and with greater accuracy.

Rackspace worked closely with McChrystal Group to understand the desired output from the ML data processing and was then able to select the right tools and ML models to ensure the delivery of high value data derived from processing responses to open ended questions. The solution uses Amazon Athena, AWS Glue, Amazon Simple Storage Services (Amazon S3), Amazon SageMaker, and Amazon Translate and the automated ML natural language processing solution enables the company to replace a time intensive manual process that consumed considerable resources with an automated process that is significantly faster, more consistent and replicable.

“Rackspace Technology understood our vision and displayed a depth of expertise in designing and implementing a solution that will help us process our surveys faster and more accurately than before,” said Victor Bilgen, Partner and Head of McChrystal Analytics. “Due to our experience working with the Rackspace team gave us a lot of confidence that they would be the right partner to deliver high quality results on the project.”

PipeSearch
PipeSearch, a U.S.-based software company that connects and supports the global pipe industry, worked with Rackspace Technology to expand data modernization and ML capabilities to aide PipeSearch’s efforts to revolutionize the pipe industry with a modern supply chain solution.

The Rackspace Technology team designed a data flow plan and extract data to be fed into a searchable database and provide normalized descriptions, allowing easy access to customers. The solution also allowed the team to identify data it was unsure about, which was then used to retrain the model, further strengthening results.

“The Rackspace Technology team was incredibly collaborative and the company’s expertise in ML and data analytics helped us simplify the difficult problem of normalizing non-standard raw inventory data,” said Briggs Thompson, co-founder of PipeSearch. “Using a combination of an agile approach with sprints and common tools, Rackspace helped us stay on track and delivered a successful solution.”

To learn more about Rackspace Technology AI and ML capabilities, please visit https://www.rackspace.com/data/ai-machine-learning.

About Rackspace Technology
Rackspace Technology is a leading end-to-end multicloud technology services company. We can design, build and operate our customers’ cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products and adopt innovative technologies.

Media Contact
Natalie Silva
Rackspace Technology Corporate Communications
publicrelations@rackspace.com  

Consulting & Advisory Services
Professional Services
Managed Services
Quick Links
© 2024 Rackspace Technology, Inc.
×

You are using an outdated browser and are receiving a degraded experience. Please switch to the latest version of Microsoft Edge, Mozilla Firefox, Safari or Google Chrome. [Dismiss]

Disclaimer

Please note that you are now entering a website directly or indirectly maintained by a third party (the "External Site") and that you do so at your own risk.

Rackspace Technology, Inc.  (“RXT”) has no control over the External Site, any data or other content contained therein or any additional linked websites. The link to the External Site is provided for convenience purposes only.

By clicking “Accept” you acknowledge and agree that neither RXT nor third party provider Virtua Research, Inc. (“Virtua) is responsible, or accepts or assumes any responsibility or liability whatsoever for, the content, the data or the technical operation of the Linked Site. Further, by entering the External Site, you also acknowledge and agree that you completely and irrevocably waive any and all rights and claims against RXT and Virtua and further acknowledge and agree that in no event shall RXT or Virtua, its officers, employees, directors and agents be liable for any (i) indirect, consequential, incidental, special, compensatory or punitive damages, (ii) damages for loss of income, loss of business profits, business interruption, loss of data or business information, loss of or damage to property, (iii) claims of third parties, or (iv) other pecuniary loss, arising out of or related to this disclaimer or the External Site

By entering the External Site, you further acknowledge and agree that the disclaimer of warranties and limitations of liability set out in this disclaimer shall apply regardless of the causes, circumstances or form of action giving rise to the loss, damage, claim or liability, even if such loss, damage, claim or liability is based upon breach of contract (including, without limitation, a claim of fundamental breach or breach of a fundamental term), tort (including, without limitation, negligence), strict liability or any other legal or equitable theory, and even if RXT and Virtua are advised of the possibility of the loss, damage, claim or liability. The waiver and release specifically includes, without limitation, any and all rights and claims pertaining to the processing of personal data, including but not limited to any rights under any applicable data protection statute(s).

If in any jurisdiction, any part of this disclaimer is held to be unenforceable by a court of competent jurisdiction, such part of this disclaimer shall be restricted or eliminated to the minimum extent and the remaining disclaimer shall otherwise remain in full force and effect.

Please note the information presented is deemed representative at the time of its original release. Changes in historical information may occur due to adjustments in accounting and reporting standards & procedures.

Non-GAAP Information

In addition to disclosing results determined in accordance with GAAP, RXT may also disclose certain non-GAAP and pro forma non-GAAP results of operations, including certain ratios, operational and miscellaneous data, as well as net income, diluted earnings per share, operating expenses, and operating income that make certain adjustments or exclude certain charges and gains that are outlined in the schedules included in this website. Management believes that this non-GAAP and pro forma non-GAAP information provides investors with additional information to assess RXT operating performance by making certain adjustments or excluding costs or gains and assists investors in comparing our operating performance to prior periods. Management uses this non-GAAP and pro forma non-GAAP information, along with GAAP information, in evaluating its historical operating performance. RXT and Virtua also take no responsibility for third party pricing data provided for informational purposes and certain ratio results formulated from the provided third party pricing data.

The non-GAAP information is not prepared in accordance with GAAP and may not be comparable to non-GAAP information used by other companies. The non-GAAP information should not be viewed as a substitute for, or superior to, other data prepared in accordance with GAAP.

 

Accept
Decline