TL;DR AWS vs Azure vs Google Cloud has no single winner, only a best fit for the workload in front of you. AWS has the widest catalog and the deepest bench of engineers, so it suits unusual and long tail requirements. Azure wins when your identity, licensing and reporting already sit inside Microsoft. Google Cloud is fastest to value when
TL;DR Data consolidation brings data out of separate systems and into one governed place, so every team reports from the same numbers. It differs from data integration, which connects systems without always moving the data. Teams usually start for one of three reasons, reports that disagree, a month-end close that drags, or an AI project that stalled on messy inputs.
TL;DR AI in predictive maintenance reads live equipment data and tells you which machine is heading for a failure, and roughly when. Teams then repair at the right moment instead of on a fixed calendar or after a breakdown. The models learn what normal running looks like, then flag the drift that comes before a fault. Vibration, temperature, current draw
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