Pega Extends Cloud Choice Through Expanded Collaboration With AWS

LAS VEGAS, June 06, 2017 (GLOBE NEWSWIRE) -- Pegasystems Inc. (NASDAQ: PEGA), the software company empowering customer engagement at the world’s leading enterprises, today at PegaWorld announced that it has deepened its relationship with Amazon Web Services (AWS) to give customers additional options for deploying Pega software on AWS.

The extended collaboration enables seamless integration between Pega® Customer Service – Pega’s artificial intelligence-based customer service management solution for personalized, real-time customer interactions – and Amazon Connect – a cloud-based contact center management service for businesses. Pega clients can now embed the Amazon Connect experience directly into Pega Customer Service to provide agents with full customer context and the ability to easily manage telephone-based interactions.

In addition, this collaboration extends Pega’s mission to provide its customers with true cloud choice. Clients can choose to run on Pega® Cloud – Pega’s fully managed cloud platform powered by AWS and optimized for Pega software – or seamlessly deploy Pega technology directly on their own AWS cloud, maintaining full control of their environment with Pega support. Pega clients running Pega® Platform or Pega’s suite of customer engagement applications on client-managed AWS instances have 24/7 access to Pega’s global support team.

These enhancements build on a seven-year relationship with AWS, which continues to provide the cloud services for Pega Cloud, providing customers with quality, speed, and overall ease of use.

Pega’s enhanced cloud capabilities will be demoed in the Tech Pavilion at PegaWorld 2017 to be held June 4-7 at the MGM Grand in Las Vegas. For more information, visit: https://www.pega.com/events/pegaworld.

Quotes & Commentary:“Today’s organizations aren’t looking for a one-size-fits-all solution; they are seeking a set of tools that can be customized to work best for their business,” said Don Schuerman, chief technology officer and vice president, product marketing, Pegasystems. “This extension of our work with AWS further enables clients with choice, flexibility, and scalability to deliver increasingly personalized experiences to their customers. We look forward to continuing our work with AWS to give our clients optimal solutions for their business needs.”

”Pega’s focus on empowering enterprises to achieve more meaningful customer engagement makes this collaboration a natural fit that will benefit many of our customers,” said Terry Wise, vice president, Amazon Web Services. “Amazon Connect is designed to make it easy for enterprises to set up a cloud-based contact center in a matter of minutes, and enable seamless integrations with key technologies like Pega Customer Service.”

Supporting Resources:Cloud Choice ebook: Cloud Choice Matters: A Guide for Selecting the Right Guide for Your Pega ApplicationsProduct background: Pega CloudProduct background: Pega Customer Service

About Pegasystems Pegasystems Inc. is the leader in software for customer engagement and operational excellence. Pega’s adaptive, cloud-architected software – built on its unified Pega® Platform – empowers people to rapidly deploy, and easily extend and change applications to meet strategic business needs. Over its 30-year history, Pega has delivered award-winning capabilities in CRM and BPM, powered by advanced artificial intelligence and robotic automation, to help the world’s leading brands achieve breakthrough business results. For more information on Pegasystems (NASDAQ: PEGA) visit www.pega.com.

Press Contacts:
Ilena Ryan
Pegasystems Inc.
[email protected]
(617) 866-6722
Twitter: @pega 

You May Also Be Interested In

• Ascletis Reinforces Its Differentiated Obesity Portfolio at American Diabetes Association (ADA) 2026 Scientific Sessions, Showcasing ASC30 Clinical Data and Exciting Preclinical Findings from ASC37 an
• VolitionRx Announces Pricing of $4.6 Million Public Offering
• NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories