UiPath Accelerates How Customers Can Create Generative AI Applications
UiPath , a leading enterprise automation software company,
today announced a new Integration Service Connector that gives customers access
to Amazon Bedrock, a fully managed service that provides access to
industry-leading foundation models (FMs) via an API to build and scale
generative AI applications.
Using UiPath’s connector for Amazon Bedrock, automation developers and
citizen developers alike can seamlessly integrate Generative AI directly in
their UiPath Studio and Studio Web automations, using the model of their
preference and within Amazon Web Services (AWS). The connector supports
text/chat capabilities through Amazon Titan FMs and several other FMs from
leading AI providers via Amazon Bedrock, including the Jurassic-2 family of
multilingual LLMs from AI21 Labs, which follow natural language instructions to
generate text in Spanish, French, German, Portuguese, Italian, and Dutch.
Customers can also choose Claude, Anthropic’s LLM, which can perform a wide
variety of conversational and text processing tasks and is based on Anthropic’s
extensive research into training honest and responsible AI systems.
“The UiPath connector for Amazon Bedrock is simple to use and brings the
power of foundation models to all UiPath customers so they can accelerate
building their own Generative AI applications,” said Graham Sheldon, Chief
Product Officer at UiPath. “With its open, flexible, and responsible approach,
UiPath provides organizations with a comprehensive platform for implementing
and harnessing the power of AI-powered automation. This functionality
complements our vision for helping customers innovate faster with Generative
AI.”
Generative AI is powered by FMs—very large models that are pre-trained
on vast amounts of data. According to AWS, “FMs can
perform so many more tasks because they contain such a large number of
parameters that make them capable of learning complex concepts. And through
their pre-training exposure to internet-scale data in all its various forms and
myriad of patterns, FMs learn to apply their knowledge within a wide range of
contexts.”
In addition, since all data is encrypted and does not leave a customer’s
Virtual Private Cloud (VPC), customers can trust that their data will remain
private and confidential.
Earlier this year, UiPath also announced that data
science teams using Amazon SageMaker, an
end-to-end machine learning (ML) service, can now quickly and seamlessly
connect Amazon SageMaker-hosted ML models into UiPath business processes
without the need for complex coding and manual effort. By connecting Amazon SageMaker to UiPath, users can
interact with deployed models via the connector and use their outputs in their
workflows.
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