Do you have millions of dollars and a team of PhD data scientists and AI experts available? If not, read on! (Well, read on either way) Are you hearing "AI" everywhere? Yes, it's a buzzword, but there is also real value for your apps and customers that you can create using AI. And now that specific AI use cases are being enabled with PaaS/SaaS AI services, these capabilities are within reach of almost any developer! In this session, we'll cover two specific scenarios, how some of the newest Azure AI Cognitive Services enable them, and look at demos and sample code. First, we'll look at a typical organizational process like expense reports. We'll discuss opportunities for automation and AI in this process, then look at a specific Azure AI service and see how to implement it, including looking at sample output data. Second, we'll look at a common capability on many web sites and apps, namely "you might also like" recommendations. We'll discuss the area of AI that underlies capabilities like this, then look at another specific Azure AI service and code to implement this more advanced scenario. The takeaways will be: understand how to articulate and implement AI-enabled use cases; understand Azure AI services and what problems they solve; deck and demo code for the two scenarios above.