Solving AI Problems the Easy Way With Off the Shelf Tools

These days we do not need to be an AI expert to reap the benefits of the research community. Off-the-shelf open source tools exist which are powerful enough to solve many industrial problems. In this talk we will map business problems to tools and show how to translate a problem domain into the expected input of the tool. Using these tools will help us identify development opportunities that we might have otherwise missed and save time by not re-implementing common solving techniques.

----

# Jordan Thayer

Jordan Thayer received his PhD in Artificial Intelligence in 2012 from the University of New Hampshire. Ever since, he’s been applying artificial intelligence in academia and industry to problems including intrusion detection, planning, static analysis, and program generation.

As a thought leader at SEP, he’s been proving that AI isn't futuristic technology. Rather, it's a collection of techniques of varying levels of maturity that can often reliably solve problems they have today. He gives talks, runs workshops, visualizes algorithm behavior, and builds proofs of concept as well as products to show what AI can do already.

# Robert Herbig

Robert Herbig is passionate about leading teams that can deliver products that users love.

He is a Lead Software Engineer at SEP, a software product design and development company. In his 10+ years in the software industry, he has worked on products ranging in size from small apps to enterprise systems; embedded, desktop, web, and cloud platforms; and in a variety of markets and domains including aerospace, medical, agriculture, construction, and secure communication.

As an AI Practice Lead at SEP, he strives to educate clients and peers about what AI can do, identify complex problems AI can address in whole or in part, and incorporate AI into software products that make a difference for their users.