AI can warn a maintenance team that a machine may fail, but McKinsey argues that the opportunity lies in what the organization does next. A prediction is useful when it changes how maintenance is planned and carried out. That requires more than a model. Microblog by @antgrasso Suppose a warning arrives days before a possible breakdown. The repair still waits because the schedule has not changed or the required part is unavailable. The model has supplied information that the process cannot yet use. Who can act on that warning while there is still time? McKinsey estimates potential cost reductions and additional uptime across asset-heavy industries. Its analysis emphasizes redesigning the maintenance process so that insights can influence decisions and lead to timely interventions. I would put maintenance teams at the center of that redesign, giving them access to information while they are planning work and enough authority to adjust priorities. #IndustrialAI #Maintenance

A familiar name in your inbox can feel reassuring. But is it really who you think it is? Attackers exploit trusted identities and everyday workflows. Making verification a habit is an important way to protect ourselves. @MSFTIssues link bit.ly/4i7ihdb v @antgrasso

Finance puts AI agents to a serious test: accuracy, controls and clear audit trails. Hyphenate (@HyphenateAI) raised $45M in Series A to expand its autonomous finance platform for accounting, revenue and treasury workflows. More: bit.ly/4BqqII9 #hyphenatepartner

If you use AI, do not stop using your brain. An AI suggestion is one possible option, not a decision already made for you An answer may sound convincing and still leave something out. Give it the same attention you would give any advice affecting your work Microblog @antgrasso Before accepting a recommendation, check what it is based on. Does the system have enough information about your situation? Would you accept the same advice from a colleague without asking a question? Explore another option, even when the first suggestion seems reasonable. You can ask AI to propose alternatives, then compare them with what you know. If the original recommendation still makes sense, follow it. There is no need to disagree with AI just to prove you are in control. But keep the possibility of changing your mind. When new information arrives, reconsider the decision. What would make you choose differently today? AI can suggest a direction. You should remain free to take another one. #HumanCenteredAI #AIDecisionMaking

Keeping up with the market means knowing which AI platforms work best for different tasks and training our teams to use them effectively. Source @VisualCap via @antgrasso