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)

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...