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)

Configuring Azure

There are a number of ways to use OpenAI-based services such as ChatGPT in the Azure environment. Depending on your context, you may be willing to use a public service such as ChatGPT for your generative needs. However, if you want to configure OpenAI to work against your own dataset within the boundaries of your Azure tenant, you’ll want to request access to Azure OpenAI Service.

One of the many benefits of enabling OpenAI in your Azure tenant is that you can connect it to your own tenant data. When you start to review the terms of service for public or free AI interfaces, you’ll notice that the service providers can claim ownership over the results that you produce, as well as use the data you supply to further train models. If your goal is to use AI to work against your own proprietary data (which may contain anything from personally identifiable information (PII) to trade secrets), you need to be assured that you remain in control (both from a...