Book Image

Power Platform and the AI Revolution

By : Aaron Guilmette
Book Image

Power Platform and the AI Revolution

By: Aaron Guilmette

Overview of this book

In this AI era, employing leading machine learning and AI models such as ChatGPT for responding to customer feedback and prototyping applications is crucial to drive business success in the competitive market. This book is an indispensable guide to integrating cutting-edge technology into business operations and leveraging AI to analyze sentiment at scale, helping free up valuable time to enhance customer relationships. Immerse yourself in the future of AI-enabled application development by working with Power Automate, Power Apps, and the new Copilot Studio. With this book, you’ll learn foundational AI concepts as you explore the extensive capabilities of the low-code Power Platform. You’ll see how Microsoft's advanced machine learning technologies can streamline common business tasks such as extracting key data elements from customer documents, reviewing customer emails, and validating passports and drivers’ licenses. The book also guides you in harnessing the power of generative AI to expedite tasks like creating executive summaries, building presentations, and analyzing resumes. You’ll build apps using natural language prompting and see how ChatGPT can be used to power chatbots in your organization. By the end of this book, you’ll have charted your path to developing your own reusable AI automation patterns to propel your business operations into the future.
Table of Contents (16 chapters)

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

actions 5, 6, 277

AI Builder 8

custom models 8

prebuilt models 8

AI Copilot 6

AI-Enabled Resume Screener

attachment and candidate record, processing 215-218

candidate record, updating 218-220, 225-227

confirmation messages, sending 228, 229

flow, creating 213

flow, testing 230, 231

information, extracting from resume 218-220

resume, evaluating with prompt 220-224

solution, designing 197, 198

solution prerequisites configuration 199

trigger and variables, configuring 213-215

AI model 2

AI, to tag images

computer vision 263-267

flow, creating 260

flow, testing 269, 270

image details, updating in library 268, 269

solution, designing 255

solution prerequisites configuration 255

trigger, configuring 260-262

algorithm 1

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