Effective AI business projects deliver measurable business improvements. So it seems self-evident that business people need to be actively and closely involved. What's less obvious is how much AI knowledge business people on a project need.
Successful business implementation of AI is a blend of people, process and technology changes, aligned around measurable business results. Some projects achieve that, but anecdotal evidence suggests they're still the minority.
What's the difference between good and great AI projects? Most advice focuses on the data science and technical aspects of work. These are of course crucial, but here we consider 7 other characteristics of successful commercial AI work.
Estimating technology projects is hard at the best of times, but when the technology is AI, it becomes even harder. This article explains some of the underling principles of accurate estimating, and offers 4 rules of thumb to help improve estimates for AI projects.
Can off-the-shelf AI solutions solve your business problem? If not, should you build your own solution on an AI business platform, or create it from scratch using technical AI tools?
Most businesses will be affected by AI in coming years, and the impact for many will be significant. As an executive, how prepared are you for what this will mean for your organisation?