UiPath Announces New Platform Features to Enable Organizations to Build Better, Faster, and More....
UiPath, a leading enterprise
automation and AI software company, recently announced
several new features in its platform which infuse GenAI deeply into the UiPath
Business Automation Platform to help businesses achieve greater outcomes with
AI and automation. UiPath showcased its latest capabilities at UiPath on
Tour London: AI at Work summit on July 2 at the
InterContinental London.
UiPath Autopilot™ for developers and testers
In the digital enterprise, rapid
development and testing speeds are a top priority. UiPath delivers on the promise of AI-powered
productivity with the release of UiPath Autopilot™ for developers and testers.
- UiPath Autopilot
for developers uses the
power of GenAI and natural language processing (NLP) in UiPath Studio to
create workflows, generate expressions, and help build automations. With
an over 70% acceptance rate, Autopilot for developers text to workflow is
making things easier for less experienced developers and speeding up
scaffolding for experienced developers. It delivers:
· Text to workflow: developers can simply
describe an automation idea in natural language, and Autopilot will create the
initial workflow.
· Text to expressions: with Autopilot, developers no longer need to
remember the exact syntax and structure of expressions. They can describe what
they need in natural language and allow AI to generate the correct expression.
· Text to code: generate code from natural language descriptions to
shorten time to deployment for automation projects.
· PDF form, text, or image to UiPath Apps: in UiPath Apps, Autopilot enables developers to
quickly create a new app—either from a PDF file or from an image of a paper
form.
· UiPath Autopilot for testers accelerates every aspect of software testing
by leveraging GenAI to refine and improve requirements, generate step-by-step
tests from those requirements, and uses those tests to create coded
automations. It provides:
· Quality checks:
Autopilot analyzes and evaluates requirements to ensure they are clear,
consistent, and complete.
· Test design: from those requirements and supporting docs,
Autopilot generates manual tests with step-by-step instructions.
· Test automation:
Autopilot converts any text, such as manual tests, into automated tests in
UiPath Studio with little to no effort.
· Test insights:
Autopilot provides real-time, actionable insights into the test case portfolio
to offer continuous improvement.
UiPath plugin and integration with Copilot for
Microsoft 365
Now in preview, the integration
enables joint customers to automate end-to-end business processes with
co-workers directly within Microsoft Teams. Customers will have access to a
prebuilt automation library to run automations that complete common, repetitive
tasks, along with specialized automations for function- or industry-specific
tasks. Users can also discover and run automations their company has developed.
UiPath is committed to building the
best-in-class AI models for core business tasks. At UiPath On Tour London, the
company released new AI enhancements for intelligent
document processing (IDP)
capabilities, including:
- UiPath DocPath
and CommPath: specialized
large language models (LLMs) enabling out-of-the-box processing of any
document or message, with increased accuracy, speed, and scale. Both LLMs
are now in general availability.
- Active learning: reduced training effort by 80% with the introduction of active
learning techniques. Now, anyone can easily train their own models with
active guidance from AI; no machine learning or coding skills are
required.
- Generative
validation: use GenAI to
validate Document Understanding model outputs. Generative validation
offers a “second opinion” on the data extracted from documents, reducing
the workload of human annotators. This reduces the time spent on human
validation, decreases average handling time, and boosts automation rates
by up to 200%.
UiPath is using AI to simplify and
improve higher-level automation tasks. GenAI activities are a
curated collection of activities that simplify common GenAI use cases for
automation developers, including:
- Content
generation: generates a chat
response for the provided request using chat completion models.
- PII filtering: scans the input text, identifies any Personally Identifiable
Information (PII) or Protected Health Information (PHI), and replaces such
data with a redaction marker.
- Summarize
text: summarizes text
using an LLM.
- Translate: detects and reports the language of any given text.
- Object Detection: identifies and locates objects within images for tasks like automated
inspections or data collection.
- Image
Classification: categorizes
images into predefined classes to support processes like sorting products
or analyzing documents.
- Categorize: organizes data into categories for improved analysis and decision
making in workflows.
- Named Entity
Recognition: extracts
specific entities (like names, places, and dates) from text, aiding in
information retrieval and organization.
In addition, Intelligent UI
form-handling capabilities leverage UiPath specialized AI and the
learnings from Clipboard AI. These activities accelerate development and reduce
maintenance as they deal with a form as a single entity, rather than a
collection of individual fields. They include:
- Form fill: uses AI to complete a form. Given input data and a form, the
activity will use AI to map data to the available input fields, fill in
the data, and submit the form.
- Form copy: uses AI to read the data from a form. Given a target form, the
activity will use AI to extract data and map it to a derived data
structure.
- Set value: uses AI to input data into a single field.
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