Measuing value in #ai projects to avoid useless use cases

So many of these projects just go nowhere. The use cases have no apparent reason, and it's just another tick box for an AI driven project. Now, for us, it's really key to understand how the project's progressing, putting in place key metrics and KPIs to really monitor the project, being able to understand if we are driving value, if the project is on time, in full, with no errors, and obviously understand some of the risks associated with these projects as well. This really allows us to keep everybody engaged in terms of where we are, where we're going, and how we're performing in terms of that journey. Now, for us, again, like I say, this has proved to be the most efficient way, and the best way of actually ensuring that we deliver tangible projects that see the light of day, or being able to pivot early and move on to something that potentially can drive more value as well.