Artificial Intelligence (AI) offers vast opportunities across industries and sectors. While traditional project or software management techniques have been around for decades, AI is new territory. According to a Gartner study, 85% of AI Projects are doomed to fail. How could that be and could we prevent our AI Project from failing?
AI Projects differ from traditional software projects. First, brainstorming suitable AI Projects is an art in itself. Next, uncertainty and scoping issues surround almost every AI Project. Can this project really be done? And if it works out, how valuable will it be in the end? And if you come up with a really valuable but risky project, when should you skip or go for it? Finding answers to these questions is vital to securing your first and second steps with AI.
This talk presents you with a practitioner’s approach to delivering AI Projects. The presentation will touch upon topics like finding and evaluating AI Projects and introduce tools like the Impact-Risk AI Matrix, AI Maturity Journey, and the AI Project Canvas.