Knowledgent Achieves AWS Machine Learning Competency Status

Warren, NJ – May 10, 2018 – Knowledgent, the data intelligence company, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Knowledgent for their consulting practice.

Achieving the AWS ML Competency differentiates Knowledgent as an AWS Partner Network (APN) member that has built solutions that help organizations solve their data challenges, enable ML and data science workflows or offer SaaS/API based capabilities that enhance end applications with machine intelligence. Attaining the AWS ML Competency, demonstrates to our customers that Knowledgent has validated ML expertise on AWS.

“Achieving AWS ML Competency status recognizes Knowledgent’s proven track record of delivering innovative data and analytics solutions that drive real business outcomes for our customers,” said Shail Jain, Chief Executive Partner. “Our team is dedicated to helping customers achieve their goals by leveraging the agility of AWS.”

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 APN Partners with deep industry experience and expertise.

Knowledgent is focused on innovating in and through data to impact our client’s business using ML, Artificial Intelligence (AI), Robotics, and Natural Language Processing. Knowledgent’s team of more than 300 Informationists is a pure-play data intelligence company with a focus on Healthcare, Life Sciences, Financial Services, and Commercial industries.

About Knowledgent

Knowledgent is a data intelligence company that innovates IN and THROUGH data. We eat, sleep, and breathe data to enable advanced and agile analytics, digital enterprise, and robotics. We combine our data and analytics expertise with business-specific domain knowledge. We are Informationists that are passionate about data. For more information, visit

Media Contact

Leslie Arturi


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