Summary
In this chapter, we have delved into three common use cases when working with Dynamics 365 Customer Engagement data: data validation, system integration, and data synchronization. For each of these, we identified general considerations that allow us to think about what kind of solution we should propose. We were also able to see that even though the platform offers multiple no-code/low-code options, sometimes we must consider pro-code solutions to ensure the performance and scalability of the solution.
In the next chapter, we will delve into how we can make use of AI Builder to incorporate AI into our processes. We will work with three categories of models: text processing, forms and receipt processing, and predictive models. For each of these, we will go through step-by-step examples of how to start implementing AI models with Dynamics 365 Customer Engagement.
