In the wake of the recent CrowdStrike incident it’s easy to become an armchair critic. For those with experience in IT, isn’t it likely that such issues are multi-dimensional, spanning technical, managerial, cultural, and even simple human errors?
Tag: AI
Deploying AI: What Somebody Seems to be Putting Together
After posting last weeks article (Deploying AI: What nobody seems to be putting together) where I suggested that we have fragmentation in approaches to AI deployment I saw a number of things come together. EY launched EY.ai (actually, back in Sept 2023), then a great post from Chris Howard at Gartner (Top of Mind – “Are 100% Accurate AI Language Models Even Useful?”) where Chris mentions ‘…as we hit the trough of disillusionment with generative AI…”.
Deploying AI: What Nobody Seems to be Putting Together
No surprise – it’s a (‘it’ in this case being the deployment of AI from a corporate perspective) a challenge and an opportunity. From the Artificial Intelligence perspective, businesses have access to a variety of tools and frameworks designed to facilitate AI adoption….that often operate in silos.
AI Risk and AI Management Formalised by NIST & ISO
These two subjects, with separate sections below are intertwined – understanding AI risk and the management of AI systems go hand in hand. Luckily NIST and ISO provide us with some tools to help with both.