Look, I perceive that this overview of Microsoft’s use of AI is designed to allay considerations amongst authorities departments, which is a key income stream for Microsoft. However there are some fascinating factors about how and why AI might be worthwhile to authorities businesses and, certainly, any enterprise, what AI is and its limitations.
The final argument right here is right, that AI isn’t a one-size-fits-all resolution, and that it’s going to nonetheless require human oversight to maximise the worth of those instruments. Anybody who has used AI techniques will concentrate on this, however we all know it is value highlighting amid the widespread hype and concern surrounding the work of AI change.
However what I discover most fascinating is “AI is simply math”. That is proper, the present slate of AI instruments isn’t truly what you outline as synthetic “intelligence”, as a result of there isn’t a inner “considering” course of, it is simply machine calculations, taking this information level and that information level, then pushing out probably the most possible consequence.
They’re much higher at doing this than earlier techniques, and the outputs might be human-like. However these techniques do not “assume”, they do not have in mind the depth of what you are asking and offer you a brief reply. It is simply math, as Microsoft notes, and that math is relative to the information inputs any given system has entry to.
That is contextually essential in understanding how these instruments work, as listed here are notes about “grounding” and coaching AI fashions on particular makes use of.
Principally, AI instruments might be worthwhile, however the hype round them can, at occasions, oversell their potential to affect your work.
That is one component of this overview, however different notes are additionally value noting from a authorities and basic enterprise perspective.
