Book Image

Democratizing Artificial Intelligence with UiPath

By : Fanny Ip, Jeremiah Crowley
Book Image

Democratizing Artificial Intelligence with UiPath

By: Fanny Ip, Jeremiah Crowley

Overview of this book

Artificial intelligence (AI) enables enterprises to optimize business processes that are probabilistic, highly variable, and require cognitive abilities with unstructured data. Many believe there is a steep learning curve with AI, however, the goal of our book is to lower the barrier to using AI. This practical guide to AI with UiPath will help RPA developers and tech-savvy business users learn how to incorporate cognitive abilities into business process optimization. With the hands-on approach of this book, you'll quickly be on your way to implementing cognitive automation to solve everyday business problems. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will help you understand the power of AI and give you an overview of the relevant out-of-the-box models. You’ll learn about cognitive AI in the context of RPA, the basics of machine learning, and how to apply cognitive automation within the development lifecycle. You’ll then put your skills to test by building three use cases with UiPath Document Understanding, UiPath AI Center, and Druid. By the end of this AI book, you'll be able to build UiPath automations with the cognitive capabilities of intelligent document processing, machine learning, and chatbots, while understanding the development lifecycle.
Table of Contents (16 chapters)
1
Section 1: The Basics
5
Section 2: The Development Life Cycle with AI Center and Document Understanding
10
Section 3: Building with UiPath Document Understanding, AI Center, and Druid

Chapter 10: Use Case 3 – Chatbots with Druid

We can bridge conversational artificial intelligence (AI) and UiPath automation with intelligent chatbots to modernize operations and enhance the user experience (UX). With chatbots, we can integrate intelligent communication tools into messaging apps or chat windows, giving end users an almost immediate resolution to their inquiries. With chatbots and UiPath, we can go one step further in fulfilling the requests of customers—not only can we respond to customer inquiries using intelligent chatbots, but we can also launch automation processes to provide end-to-end (E2E) fulfillment of customer requests.

In this chapter, we will work together to build a chatbot that can interact with human users and launch UiPath automations. As we build the use case, we will follow a similar development life cycle as outlined in the previous chapters. We will start with understanding the current state of our automation opportunity, and then...