Pega to Expand GenAI Framework with Google Cloud & AWS
Pegasystems Inc., the
leading enterprise AI decisioning and workflow automation platform provider, announced an expansion of its Pega GenAI capabilities to
connect to Amazon Web Services (AWS) and Google Cloud’s Large
Language Models (LLMs). The additions are designed to allow Pega clients to
effectively leverage the integration of generative AI technologies powered by
AWS and Google Cloud into the decisions and workflows within Pega Platform.
These services will be on display at PegaWorld iNspire the annual
conference at the MGM Grand in Las Vegas on June 9-11. The new capabilities are
expected to be available in the second half of 2024.
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.
“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.”
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