AI GURU

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