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Power Platform and the AI Revolution

You're reading from   Power Platform and the AI Revolution Explore modern AI services to develop apps, bots, and automation patterns to enhance customer experiences

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835086360
Length 356 pages
Edition 1st Edition
Languages
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Author (1):
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Aaron Guilmette Aaron Guilmette
Author Profile Icon Aaron Guilmette
Aaron Guilmette
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Introduction to AI Services FREE CHAPTER 2. Chapter 2: Configuring an Environment to Support AI Services 3. Chapter 3: Talking to ChatGPT 4. Chapter 4: Using ChatGPT and Copilot to Create Flows and Apps 5. Chapter 5: Bootstrapping a Power App with Copilot 6. Chapter 6: Processing Data with Sentiment Analysis 7. Chapter 7: Using Power Automate and AI to Build PowerPoint Presentations 8. Chapter 8: Building an Event Registration App with Identity Verification 9. Chapter 9: Implementing an AI-Enabled Resume Screener 10. Chapter 10: Crafting an Executive Summary with GPT 11. Chapter 11: Using AI to Tag Images in a SharePoint Library 12. Chapter 12: Creating a Generative AI-Based Bot 13. Chapter 13: Publishing a Generative AI-based Bot 14. Index 15. Other Books You May Enjoy

Processing Data with Sentiment Analysis

So far, we’ve looked at using AI (specifically, Microsoft’s Copilot and ChatGPT) to help us create and modify tooling (such as flows and apps). While they can be helpful, it often requires a lot of extra effort to get these types of general-purpose assistants to do very specific step-oriented tasks.

Power Platform allows you to harness AI to make judgments across a wide range of content and data types, helping mimic human evaluations at machine speed.

For instance, humans can easily glance at a business card and discern the person’s name and job title, regardless of their placement on the card. However, this task is considerably more challenging for traditional computer logic to execute. As business card designs evolve, data fields shift and become increasingly challenging for traditional automation engines to recognize and identify. AI models introduce contextual awareness to data, simplifying the automation process...

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