Pega to Expand GenAI Framework with Google Cloud & AWS, to Allow for Enterprise Generative AI Choice
Pegasystems (NASDAQ: PEGA) announced its expansion of Pega GenAI capabilities to connect to AWS and Google Cloud’s Large Language Models (LLMs). This integration aims to enhance decision-making and workflow automation for Pega clients using generative AI technologies. The new capabilities, showcased at PegaWorld iNspire on June 9-11, will be available in the second half of 2024. The offerings include models like Amazon Bedrock, Amazon Titan, Google Vertex AI, Google Gemini, and Claude from Anthropic. This extension allows enterprises to build AI applications with security and compliance, boosting productivity through Pega’s low-code development platform.
- Expansion of Pega GenAI capabilities to incorporate AWS and Google Cloud LLMs.
- New capabilities to be showcased at PegaWorld iNspire on June 9-11.
- Availability in the second half of 2024 allows time for strategic adoption.
- Includes integration with Amazon Bedrock, Amazon Titan, Google Vertex AI, and Google Gemini.
- Enables custom generative AI-powered workflows to enhance productivity.
- Provides unified governance, auditability, and controls across generative AI applications.
- Enhances decision-making and workflows with comprehensive AI integration.
- The new capabilities will not be available until the second half of 2024, potentially delaying immediate benefits.
- The integration's success depends on the effective implementation by Pega clients, which may vary.
Insights
The integration of generative AI capabilities from AWS and Google Cloud into Pega's platform represents a significant advancement for enterprises seeking to leverage AI in their workflows. By connecting to robust AI models like Amazon Bedrock, Amazon Titan, Vertex AI, Google Gemini and Claude from Anthropic, Pega provides a versatile and scalable solution for AI-driven decision-making. This integration is likely to enhance the platform's attractiveness by offering flexibility and choice to clients, tailored to their specific needs. The capability for low-code developers to quickly incorporate AI functions like document summarization into their workflows can significantly improve productivity and efficiency, aligning with the growing trend of democratizing AI development. However, the success of this integration will heavily depend on the ease of use, security and privacy measures implemented, as well as the real-world effectiveness of the AI models in diverse industry applications.
The announcement of Pega expanding its GenAI framework to include AI models from AWS and Google Cloud has strong potential financial implications. By leveraging these high-performance AI models, Pega can potentially increase its market share and customer base, attracting enterprises looking for advanced AI capabilities integrated into their workflows. This move could also drive higher subscription revenues for Pega Cloud services, given the added value and functionality these integrations bring. For investors, the key metrics to watch following this announcement would be client acquisition rates, subscription growth and any reported increases in productivity and efficiency by existing clients. Additionally, the partnership with well-established names like AWS and Google Cloud adds credibility and may positively influence Pega's valuation in the market. Nonetheless, it is important to monitor the execution of these integrations and their actual impact on financial performance in upcoming quarters.
The strategic expansion of Pega's generative AI capabilities through partnerships with AWS and Google Cloud addresses a growing demand for AI-driven solutions in enterprise environments. The ability for clients to choose from a variety of AI models ensures that Pega remains competitive in a rapidly evolving market. This versatility is attractive to enterprises that require tailored AI applications to fit unique operational needs. Furthermore, showcasing these capabilities at PegaWorld iNspire and involving prominent partners like AWS and Google Cloud in presentations can generate substantial interest and awareness among potential clients. It’s also noteworthy that Pega is emphasizing responsible AI deployment, a critical factor for businesses concerned with ethical AI use. This could differentiate Pega from competitors and foster trust among clients and potential investors. Nonetheless, the long-term success of this strategic move will depend on continuous innovation and the ability to demonstrate tangible ROI for clients.
New connectors to be provided so Pega clients can leverage generative AI capabilities to their employees and customers utilizing their preferred LLM
With this expansion, Pega’s enterprise platform will provide clients the ability to connect with a vast range of generative AI services and models with Pega GenAI architecture to support generative AI models within Pega solutions. These will include solutions from AWS, including Amazon Bedrock – a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies via a single API – and Amazon Titan; from Google Cloud, including Vertex AI and Google Gemini; and Claude from Anthropic. This provides a broad set of capabilities organizations need to build generative AI applications with security, privacy, and responsible AI.
Enterprises that leverage Pega for generative AI-infused development, engagement, service and back-to-front office operations workflows will benefit from unified governance, auditability, and controls across all applications of generative AI throughout their operations. Pega GenAI is available to all Pega clients through Pega Cloud.
AWS and Google Cloud generative AI models will be available in Pega Connect GenAI, a plug and play architecture that allows low-code developers to author prompts and get immediate value from generative AI in any workflow or decision. This enables Pega low-code developers to build custom generative AI-powered capabilities into their workflows to help boost the productivity of employees and agents interacting with them. For example, if a process, such as a claims or approvals workflow, includes a range of documents, Pega GenAI can be used to build a component to summarize documents on the fly and give end-users an at-a-glance overview of critical information when they open their assignments.
AWS and Google Cloud will be presenters at PegaWorld iNspire. AWS will discuss how it and Pega will enable businesses to extract real value by deploying generative AI responsibly on Monday, June 10th at 3:15 pm. Visit them at Booth 28 to learn more. Google Cloud will discuss how it and Pega are driving innovation with generative AI on Tuesday, June 11th at 2:15 pm. Visit them at Booth 14 to learn more.
For more information, visit www.pegaworld.com
Quotes & Commentary:
“The generative AI market is evolving rapidly as are generative AI strategies,” said Don Schuerman, chief technology officer, Pega. “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.”
“We’re excited to expand our partnership with Pega and provide its clients with access to our curated set of over 150 models in Vertex AI,” said Rodrigo Rocha, Head of Global Apps ISV Partnerships, Google Cloud. “Generative AI empowers organizations to transform their operations, making it more important than ever to equip customers with the ability to choose the best model to suit their business needs.”
About Pegasystems
Pega provides a powerful platform that empowers the world’s leading organizations to unlock business-transforming outcomes with real-time optimization. Clients use our enterprise AI decisioning and workflow automation to solve their most pressing business challenges – from personalizing engagement to automating service to streamlining operations. Since 1983, we’ve built our scalable and flexible architecture to help enterprises meet today’s customer demands while continuously transforming for tomorrow. For more information on how Pega empowers its clients to Build for Change®, visit www.pega.com.
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View source version on businesswire.com: https://www.businesswire.com/news/home/20240610288244/en/
Press:
Jon Brigden
Pegasystems
jon.brigden@pega.com
Twitter: @pega
Source: Pegasystems Inc.
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