Democratizing Artificial Intelligence with UiPath: Expand automation in your organization to achieve operational efficiency and high performance

Cover\nTitle page\nCopyright and Credits\nForeword\nContributors\nTable of Contents\nPreface\nSection 1: The Basics\nChapter 1: Understanding Essential Artificial Intelligence Basics for RPA Developers\n	Understanding key AI concepts\n		Differentiating between artificial intelligence, machine learning, and deep learning\n		Appreciating the relevance of supervised learning, unsupervised learning, and reinforcement learning in AI\n		Practical tips\n	Understanding cognitive automation\n		Understanding the expanded roles the RPA developer plays in the cognitive automation lifecycle\n		Understanding the final output of the cognitive automation lifecycle and the RPA lifecycle\n		Practical tips\n	Exploring relevant OOTB models for RPA developers\n		The commonly used OOTB models\n		Practical tips\n	Summary\n	Further reading\nChapter 2: Bridging the Gap between RPA and Cognitive Automation\n	Understanding the spectrum of office work\n		Data collection\n		Data processing\n		Applying expertise\n		Stakeholder interactions\n	Exploring the gap between RPA and cognitive automation\n		Practical tips\n	Designing human-machine collaboration with cognitive automation\n		Demonstrating human-machine collaboration with examples\n		Applying differences between how humans and machines work in cognitive automation design\n		Practical tips\n	Summary\nChapter 3: Understanding the UiPath Platform in the Cognitive Automation Life Cycle\n	Understanding the critical success criteria in choosing a cognitive automation platform\n		Guiding principles of a versatile automation platform\n		Design principles for human-machine collaboration in cognitive automation\n	Introducing UiPath\'s end-to-end cognitive automation platform\n		Discover pillar – discovering, evaluating, and managing automation use case pipelines\n		Build pillar – developing automations\n		Manage pillar – managing, deploying, and optimizing automations\n		Engage pillar – facilitating human-robot collaboration in automations\n		Run pillar – running automations\n	Getting to know UiPath Document Understanding\n		The benefits of UiPath Document Understanding\n		UiPath Document Understanding technical framework\n	Getting to know UiPath AI Center\n		The benefits of UiPath AI Center\n		UiPath AI Center technical concepts\n	Getting to know the UiPath chatbot with Druid\n		Benefits of the UiPath chatbot with Druid\n		Technical components of the Uipath chatbot with Druid\n	Summary\nSection 2: The Development Life Cycle with AI Center and Document Understanding\nChapter 4: Identifying Cognitive Opportunities\n	Searching for automation opportunities\n		The characteristics of an automation opportunity\n		Identifying target goals\n		Seeking automation opportunities\n	Understanding the opportunity\n		Evaluating opportunities\n		Prioritizing the pipeline\n		Looking at the end-to-end process\n	Probing for cognitive automation\n	Summary\n	Questions and Answers\nChapter 5: Designing Automation with End User Considerations\n	Gathering requirements\n		Gathering the current state\n	Setting target goals\n	Designing the solution\n		Choosing the correct automation type\n		Designing automation for the best user experience\n	Summary\nChapter 6: Understanding Your Tools\n	Technical requirements\n		Enabling AI Center in the UiPath enterprise trial\n	Getting started with UiPath Document Understanding\n		Introducing the Document Understanding framework\n	Getting started with UiPath AI Center\n		Using AI Center\n	Getting started with UiPath Computer Vision\n		Using Computer Vision\n	Summary\n	Questions\nChapter 7: Testing and Refining Development Efforts\n	Approaching cognitive automation testing\n		How to test RPA development\n		How to test cognitive components\n	Executing cognitive automation testing\n		Gathering test data\n		Executing RPA testing\n		Executing cognitive testing\n		Executing UAT\n	Closing the feedback loop\n	Summary\n	Q&A\nSection 3: Building with UiPath Document Understanding, AI Center, and Druid\nChapter 8: Use Case 1 – Receipt Processing with Document Understanding\n	Technical requirements\n		Enabling AI Center in the UiPath Enterprise trial\n	Understanding the current state\n	Creating the future state design\n	Building the solution with the Document Understanding framework\n		Setting up the Document Understanding Process template\n		Creating the taxonomy\n		Setting up the digitizer\n		Setting up the classifier\n		Setting up the extractor\n		Setting up the exporter\n	Testing to ensure stability and improve accuracy\n		Enabling the Validation Station\n		Testing with sample receipts\n	Deploying with the end user experience in mind\n		Creating the dispatcher\n		Adding user input prompts\n		Deploying into production\n	Summary\nChapter 9: Use Case 2 – Email Classification with AI Center\n	Technical requirements\n		Enabling AI Center in UiPath Enterprise trial\n	Understanding the current state\n	Creating a future state design\n	Building a solution with AI Center\n		Creating an ML skill\n		Building automation workflows\n	Testing to ensure stability and improve accuracy\n		Testing with sample emails\n		Building a retraining workflow\n	Deploying with the end-user experience in mind\n		Deploying the project\n	Summary\nChapter 10: Use Case 3 – Chatbots with Druid\n	Technical requirements\n	Understanding the current state of the use case\n	Creating a future state design\n	Building a solution with Druid\n		Creating a project\n		Editing the Welcome flow\n		Creating an automation flow\n	Building an automation solution\n		Creating a project\n		Building Reset_Password and Upgrade_App workflows\n		Building the Main workflow\n	Testing to ensure stability and improve accuracy\n		Publishing the Druid chatbot\n		Publishing the UiPath automation\n		Testing the use case\n	Considerations for production\n	Summary\nChapter 11: AI Center Advanced Topics\n	Technical requirements\n		Enabling AI Center in UiPath enterprise trial\n	NER with AI Center\n		Introducing AI Center\'s NER models\n		Custom NER with UiPath\n	Deploying your own custom models to AI Center\n		Preparing a Python model for AI Center\n		Deploying to AI Center\n		Interacting with UiPath automation\n	Summary\nIndex\nAbout Packt\nOther Books You May Enjoy