PRESENTER: Now that the process has been documented,
let's automate it.
Meet Eric, who leads the team of RPA developers.
They used UiPath Studio to create automation workflows.
Multiple developers can collaborate and build
automation using pre-built activities.
They can use the skeleton workflow
exported from task capture.
UiPath uses selectors to reliably identify
on-screen elements within a user interface.
If an application has changing layouts,
developers can create dynamic selectors.
UiPath provides robust native integrations
with technologies you use today.
The API-based integration increases development base
and reliability.
The platform integrates with best of breed CRM, BPM, ERP,
and other enterprise technologies
like SAP, Salesforce, Google, Microsoft, ServiceNow, and AWS.
UiPath studio also offers flexibility in integrating with
popular programming languages like Visual Basic, C#,
and Python.
The center of excellence team provides
reusable components and automation libraries
for developers.
These components are built in-house or downloaded
from UiPath Marketplace.
The CEO team evaluates available components from Marketplace
to check feasibility and security.
In invoice processing, people handle many different types
of data inputs.
It can be challenging for robots to extract data
from non-digital formats or semi-structured data.
Typical OCR solutions, or rule-based extraction,
would not be sufficient when there are multiple templates.
To overcome this challenge, Eric's team of developers
use UiPath's document understanding solution.
The tools provide an intelligent hybrid approach
to data extraction which allows users to combine rules,
templates and machine-learning models to ensure the highest
accuracy of the output.
Integrations with UiPath's partner ecosystem
enable robots to process even more document types.
Document Understanding gives your robot
new AI skills provided directly from UiPath.
However, sometimes you need to enhance your robot
with your own custom models that are unique to your business.
In our example, we find that it is
difficult to identify accounting codes in non-PO invoices.
To address that, we can leverage UiPath AI Fabric
to supply the robot with a custom machine learning
model that helps determine the fields.
With AI Fabric.
You can apply AI to RPA workflows in just minutes,
providing the ability to automate
more advanced and cognitive processes.
AI Fabric allows you to easily deploy your own ML models, as
well as breed-trained ML models, developed by UiPath
or our technology partners.
Developers can simply drag and drop the model right
into an RPA workflow via UiPath Studio.
Also, they can monitor and manage the model,
and constantly train and improve it
using the human validated data.
RPA and AI work together to let you automate more processes
with ease.
Now that your automation is built, it should be tested.
To ensure deployed robots are resilient and will require
minimal maintenance in the future, the developers
users UiPath Test Suite.
Using the advanced capabilities available in Studio Pro,
the developer can generate tests directly
within his or her workflow.
In addition, developers can create data-driven tests
to ensure that robots will be able to handle different data
variations, and to handle exceptions.
After testing, the developer can quickly
evaluate the results and test coverage for their workflow.