You’ve seen the cool demos using machine learning. You see everybody talking about how amazing it is and how it’s going to change the world. And there you are, building your money making, salt-of-the-earth, Java enterprise application. When do you get to do the cool stuff?!

The time is now! This talk is going to show you some of the ways you can simply leverage cloud based machine learning and AI to add pizzazz to your apps and a bounce in your step. While we will be using Azure services in this talk - all the major hyperscalers can give you this ease of use on their platforms.

We will cover two different use cases. The first will be tagging and sorting a large catalog of images. The second will be some sentiment analysis on messages from Twitter Mastodon.
We will take some relatively simple Spring code and then bake in Machine Learning functionality. The big win here is that you don’t need a team of data scientists, large sets of training data, specialized authentication, or a dataops team building your own custom pipelines. This functionality will come out of the box ready to go!

The goal of the talk is to get you familiar with how easy it has become to add machine learning to your everyday applications. We will start with a brief introduction to Machine Learning terms and techniques, then give our use case, data, and code, and then you will see it all running in action.
Come for the information but I hope you stay for the discussion