Azure AI Services at Scale for Cloud, Mobile, and Edge

Chapter 6. Machine Learning for Everyone: Low-Code and No-Code Experiences

Cloud AI services aren’t only useful to professional developers who are comfortable writing code that calls APIs like the Cognitive Services we covered in Chapter 4. Business users and enterprise development teams alike are adopting low-code and no-code tools that make it easier and faster to create custom apps that use cloud AI services the same way they use storage or any other function. In this chapter we’ll show you how to use AI in the Power Platform and Logic Apps. In many cases, you’ll still be using Cognitive Services; you don’t need to be an experienced developer to take advantage of them, but we’ll also look at how those developers can bring their expertise to these platforms to help business users achieve more.

Note

In this chapter, we show multiple ways to use AI features and services that have overlapping functionality. As always, when choosing which one you’re going to use, consider what you want to achieve, what tools you’re comfortable using, and where you need to get the results from any AI model you create. If you need a report with visualizations that help people understand the situation and use data to make decisions, Power BI is the place to start, but the models you use in Power BI may be built through the service or elsewhere. Power BI also has tools for preparing and transforming data that will be used in other Azure services. If you need an app or a workflow to take or automate ...