- Pegasystems Inc. broadens Pega GenAI integration to AWS and Google Cloud’s LLM.
- Clients gain access to generative AI services and models within Pega solutions.
- Integration includes AWS solutions like Amazon Bedrock and Google Cloud’s Vertex AI.
- Pega Connect GenAI enables low-code developers to leverage generative AI models.
- Don Schuerman, Pega’s CTO, emphasizes client choice in selecting AI models.
- Pega GenAI facilitates the creation of custom AI-powered capabilities in workflows.
Main AI News:
Pegasystems Inc., a leading provider of workflow automation platforms, has broadened its Pega GenAI integration to include Amazon Web Services (AWS) and Google Cloud’s Large Language Models (LLMs).
This expansion empowers clients to seamlessly connect with generative AI services and models utilizing Pega GenAI architecture, enhancing support for generative AI models within Pega solutions. These offerings encompass solutions from AWS such as Amazon Bedrock and Amazon Titan, as well as those from Google Cloud like Vertex AI and Google Gemini, alongside Claude from Anthropic.
Pega Connect GenAI, a plug-and-play architecture facilitating low-code developers in authoring prompts and deriving value from generative AI within any workflow or decision, will incorporate AWS and Google Cloud generative AI models. According to the company, this integration enables clients to select the most suitable model based on factors such as strategy, infrastructure, effectiveness, performance, speed, trust, and cost.
Don Schuerman, Chief Technology Officer at Pega, emphasized the importance of choice for clients: “Clients know the best model for them will depend on a variety of factors, including their own strategy and infrastructure, effectiveness, performance, speed, trust, and cost, so having choice is key. The extension of these relationships underline Pega’s commitment to becoming the workflow backbone for generative AI solutions to enable truly transformational change for our clients. Our trusted partners play an important role in helping us to deliver these outcomes.”
This expansion empowers Pega low-code developers to integrate custom generative AI-powered capabilities seamlessly into their workflows. For instance, Pega GenAI can facilitate the creation of a tool that summarizes documents, providing users with an overview of information as soon as they open their tasks.
Conclusion:
The expansion of Pega GenAI’s integration with AWS and Google Cloud’s LLMs signifies a strategic move by Pegasystems to provide clients with enhanced flexibility and choice in leveraging generative AI within their workflows. This move aligns with the growing demand for AI-driven solutions in the market, positioning Pegasystems as a key player in meeting the evolving needs of businesses seeking transformative automation and decision-making capabilities.
