Pegasystems informs Techzine of a number of APIs that make it possible to link third-party AI applications to Pegasystems’ own AI applications.
Examples of third-party applications include Google Cloud Machine Learning Engine and Amazon SageMaker. With the APIs it will be possible to expand the AI of Pega Customer Desicion Hub with external AI solutions, making the use of deep learning, for example, an option. According to Pegasystems, this makes contact with customers more personal and relevant.
Pega Customer Desicion Hub is designed for organizations that want to use customer recommendations and information in real time to choose the right follow-up action in the customer contact. The mentioned AI solutions of third parties are not used instead of the AI in Customer Decision Hub, they function parallel to each other. The coupling is done by means of the open architecture of Pegasystems. Existing APIs, such as OCR and voice recognition, open up new possibilities in the Pega software.
Three APIs available soon
Pega announces three Realtime AI Connectors that will be available soon. Google Cloud Machine Learning Engine provides access to AI models for deep learning and decision making. Amazon Sagemaker also gives users the opportunity to create and train machine learning models. Then there is Google DialogFlowText Analyzer, a Natural Language Processing (NLP) service designed to build interactive, text-based conversations. This can lead, for example, to better chat sessions with customers.
It’s special to be part of an AI ecosystem that constantly pushes the boundaries to make the customer experience even better, says Rob Walker, vice president of decision making and analytics at Pegasystems. With the open architecture of Realtime AI Connectors, our customers can now implement the latest AI algorithms in their already successful Pega AI system.This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.