FAQs

As technology advances, it is important to focus on products that deliver the best experience and meet our customers’ evolving needs. In order to provide you with a comprehensive macro-to-micro visualization of how work is done in your organization, we are actively working on unifying data from various sources—system data, human activity, unstructured communications, and robot data—into a single view. Our new solution is designed from the ground up to better meet your needs with enhanced features, more seamless integration, and improved reliability.

As we move toward this new chapter, we’d love for you to be a part of it. You’ll have the opportunity to join private previews and give feedback to help us shape these next-generation tools. Simply join our Insider Program and choose Task Mining as your interest in the profile. This way, you’ll stay updated and be among the first to experience these exciting improvements.

Check out the Deprecation timeline for details.

As announced in the release notes, Unassisted Task Mining is a deprecated feature. You can continue to use Unassisted Task Mining until it is officially removed from the UiPath® Task Mining product.

Before the Unassisted Task Mining feature is removed, we recommend you retain an offline copy of your collected data by exporting your results to CSV. Check out Export to CSV for details.

Assisted Task Mining, now called Task Mining, will be UiPath’s offering to customers in Automation Cloud™ and Task Capture for our Automation Suite customers.

Looking ahead, one of UiPath's primary investment areas will be integrating Task Mining into Process Mining. This will enable customers to gain a holistic view of their processes at both macro and micro levels.

Task Mining is AI-driven and applies machine learning to mine user desktop activity across users to determine automation candidates. The word mining implies the nontrivial extraction of previously unknown and potentially useful information from activity data.

Task Capture is human-driven and captures the subject matter expertise and assembles the ideal step-by-step workflow of a known process. Experts can transform siloed knowledge into organizational wisdom by “taking selfies” of their expertise.

Both products can expedite automation by generating PDD without messy manual screenshots or templates and export a skeleton workflow to Studio in seconds.

Task Mining is one of the Task Mining approaches that empowers your employees to capture variations of a known task and easily merge these into a comprehensive picture of the existing process.

Unassisted Task Mining is another Task Mining approach that lets you mine the unknown area by recording your employees' desktop activities and discovering repetitive tasks suited for automation and process improvement.

Task Mining is available as part of the Task Mining service experience.

Task Mining service can be enabled for all Automation Cloud^TM Public Sector organizations included with all enterprise licenses starting 22.10 general availability.

Task Mining consists of two parts - the web-based component for project management, data storage, trace editing, etc. and the desktop recorder client. The web-based part is cross-platform as it’s on cloud only for now, so it can be used on Mac OS. However, the desktop recorder can be used on Windows OS only.

Please read the Hardware and software requirements page for more information.

As of 22.10, the Task Mining contains core features of Task Capture + brings new value with the merging functionality, collaboration and sharing capabilities, etc.

Our plan is to incrementally improve the product by bringing more valuable Task Capture features in 2023+, such as action editing, export to StudioX, etc.

Share your feedback to let us know what we’re missing now!

Our AI and Machine Learning (ML) algorithms are designed around clustering screenshots of desktop activities. We do not take any human attributes such as demographics, age, gender, and race into account as these data points are irrelevant for the problem we’re solving. Our algorithms classify which screens came from the same application across machine themes, window sizes, browsers, and operating systems, etc. Training for these models is done using data generated by UiPath®, although in some older projects previous customer data could be used.

We have unique ML models for specific tasks. With these models, we can track which decision was made where in our pipelines.

Model updates are tracked by UiPath® release and change management system. We share updates publicly with customers via our release notes.

Yes, access is removed when changing roles or leaving an organization.

PII data is removed from the collected images by using Microsoft Azure Cognitive Services before they are processed by the AI models. The content is not what's important for the screens, it's the context of the screens that matters.

Yes, in addition to removing PII data, customers can choose to anonymize who the data was collected from.

We share the responsibility of protecting your data with Azure and strictly adhere to the guidance published by Azure. One key principle we apply is tenant data isolation. Data from each tenant is logically separated from others in our service so that we can enforce access and authorization controls for all tenants as they access data inside our service. For more details, visit our white paper about UiPath® Automation Cloud™ Security, Privacy, and Compliance.

There are no user generated prompts in Task Mining.

The AI Models are run on UiPath® servers and are not exposed directly to customers.

No, we don’t employ techniques to watermark AI models as they are not exposed directly to customers.

We have throttling mechanisms in place on the server side to prevent adversarial attacks. In addition, our AI system is not directly accessible by customers.

AI model parameters are not exposed to customers. They are configured on the server side and controlled through change management/release/DevOps systems operated by UiPath®.