Techstars Startup Week Boise 2019

The world has seen a massive rise in popularity for venture investment, conferences, and business-related queries for “machine learning” since 2012 – but most technology executives often have trouble identifying where their business might actually apply machine learning (ML) to business problems. With new AI buzzwords being created weekly, it can seem difficult to get ahold of what applications are viable, and which are hype, hyperbole or hoax.

In this talk, we’ll break down categories of business problems that are commonly handled by ML provide actionable advice to begin a ML initiative with the right approach and perspective (even it’s the first such project you’ve undertaken at your company).

Best of all, we’ll reference real business use cases, along with expert perspectives on “how to solve business problems with ML” from our panel of AI engineers and executives. The increasing availability of affordable and flexible computing power is making AI and machine learning accessible to more and more businesses, which are using the technology in a wide variety of ways. Should you be using it to solve your present business challenges?