Ai+ Training

Bringing machine learning functions within a business into alignment with the rest of the organization can be a struggle, especially now when AI has advanced so much technologically, and become such an important part of business innovation and success. In this talk, I'll discuss how ML teams and other business areas fail to communicate effectively, why AI is so misunderstood by laypeople, and why this can lead to the failure of business critical AI initiatives. To solve these problems, ML/AI professionals need to take the initiative to communicate about what they do and what value they can contribute. Educated, smart laypeople are frankly confused and misinformed about what AI is, which leads to unachievable expectations and eventual disappointment, even when machine learning is successfully implemented. At the same time, ML/AI professionals need to deeply understand the goals of the business in order to build AI solutions that will meet those goals. AI represents a significant change to business technology, and massive potential for productivity and problem solving, but as practitioners know only too well, it’s not magic. Attendees to this talk will learn how to bridge the gap between business and AI, and will learn key lessons about how to design and deploy AI initiatives to achieve business success.