Abstract: 

Artificial Intelligence. Machine Learning. Data Science. These have been the hot buzzwords for the past several years. And us developers? We've been following this new technology like we always do. But this time it's not just a new programming language or JavaScript framework. AI is different. The world of a developer is about code. Code that defines the behavior of some process. But the world of a data scientist is about data. Data that describes the behavior of some process. An AI Engineer has a foot in each of these worlds.
If you'd like to have a foot in both of these worlds too, this talk will get you started. In it, I'll share what an AI Engineer is and isn't, steps you can take to begin your journey, and some common pitfalls to avoid. When we're done, you'll have a solid idea of exactly how you, as a developer, can fit into the world of data science, how to close the gaps to get there, and what you need to call yourself an AI Engineer.

Bio: 

Guy works for DataRobot in Columbus, Ohio as a Developer Evangelist. Combining his decades of experience in writing software with a passion for sharing what he has learned, Guy goes out into developer communities and helps others build great software.

Teaching and community have long been a focus for Guy. He is President of the Columbus JavaScript Users Group, an organizer for the Columbus Machine Learners, and has even helped teach programming at a prison in central Ohio.

In past lives, Guy has worked as a consultant in a broad range of industries including healthcare, retail, and utilities. He also has spent several years working for a major insurance company in central Ohio. This has given him a broad view of technology application toward business problems.