Leverage the intersection of AI, ML and automation to enable robots to analyze and understand communications including emails, tickets, notes and more.
By combining ML models or leveraging the latest developments in NLP from UiPath Communications Mining (formerly Re:infer), developers can build workflows that classify and extract structured data from messages, such as custom entities, and intent labels. This new source of structured data from communications unlocks AI-driven automation and expands automation into new areas.
This session is designed for Automation Developers that are interested in learning how to harness the capabilities of ML models within their UiPath RPA workflows to deliver automations that understand intent and can handle complex scenarios.
📕 During the session, we will cover:
- Leveraging AI Center and Studio to build and deploy models
- How you can combine models to address complex scenarios such as ITSM triaging
- UiPath Communications Mining, what is it and how can it be leveraged for analysis and automation use cases
🔽 Download the free-text ticket automation for ITSM
Dhruv Patel, Senior Sales Solution Architect @UiPath
Tom Golebiowski, UiPath Communications Mining Expert @UiPath
👉 Register for our upcoming Dev Dives Session 4: How to create user-friendly attended automations from beginning to end