By navigating our site, you agree to allow us to use cookies, in accordance with our Privacy Policy.

Pega Launches Real-Time AI Connectors at Pega World 2019

Pegasystems announced the introduction of Real-Time AI Connectors at PegaWorld. These new set of APIs enable Pega clients to plug in third-party AI engines to their already-powerful Pega AI. Built on Pega’s open approach, the offering allows clients to enhance their Pega customer experience software with other leading AI services such as Google Cloud Machine Learning Engine and Amazon SageMaker.


Pega Customer Decision Hub serves as a brand’s centralized AI brain to optimize customer touchpoints on each channel along the customer journey.

“With access to the Real-Time AI Connectors, clients get the flexibility to complement Pega AI with even more AI power – including new deep learning and machine vision capabilities and alternative machine learning and NLP services which makes the Pega Customer Decision Hub even smarter by adding new ways for clients to bring more personalization and relevance to every customer engagement while driving higher customer lifetime value.” the company commented.

Real-Time AI Connectors tap directly into the global ecosystem of the latest AI algorithms from outside organizations. Pega seamlessly integrates with these third-party AI engines by initiating service callouts in tandem with Pega’s native AI capabilities, giving clients the power of both services at the same time. Modeled on Pega’s open architecture, these connectors build off existing APIs for OCR and speech-to-text processing that bring other capabilities into the Pega environment.

The initial Real-Time AI Connectors scheduled for release include the following:

  • Google Cloud Machine Learning Engine gives access to advanced AI models, including TensorFlow for developing and training deep learning models and XGBoost for gradient-boosted decisions trees. This API is scheduled for availability by the end of Q3 2019.
  • Amazon SageMaker provides clients the ability to build, train, and deploy machine learning models in a fully managed service. This API is scheduled for availability by the end of Q4 2019.
  • Google DialogFlow Text Analyzer provides an alternative NLP to building interactive text-based conversations. This allows clients already using Google NLP skills to leverage Pega to perform more complex data orchestrations, bringing more utility to chat sessions.

Pega AI Connectors were introduced at PegaWorld, Pega’s annual conference being held at the Las Vegas MGM Grand.

Further information: Click here


Jyoti Gazmer

A Mass Comm. graduate believes strongly in the power of words. A book lover who dreams to own a library some day. An introvert but will become your closest friend if you share mutual feelings about COFFEE. I prefer having more puppies over humans.

Related Articles

Upcoming Events