Never deploy AI without doing these 3 things -- ArthurAI

AI is hard at work delivering huge ROIs and efficiencies for businesses in every sector of commerce, but it's also something that can (quite spectacularly) fail, causing major financial losses, and harm to the brand your team has worked so hard to build. If not done carefully, AI deployments can quickly turn into disaster, as we see more and more of in the news each day. A business interested in building reliable AI, whose decisions can be trusted, is a business that puts appropriate guard rails around their model maintenance, long after it's been trained, tested, and deployed. But seldom do businesses truly take steps to ensure that, after those models are trained, they stay relevant, operational, and healthy. We will be updating this blog with deep explainers for all 3 of the above in the weeks to come, but to be quick about it, we'll explain why they're important… right now!