# Microsoft Shares Notes on the Potential of AI for Enterprise [Infographic]
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Microsoft Shares Notes on the Potential of AI for Enterprise [Infographic] #
Microsoft Shares Notes on the Potential of AI for Enterprise [Infographic]](https://www.socialmediatoday.com/imgproxy/n-JmzzKV7kijWASLT-wkjgsrf6fJ-tk87CCIYxYNCOk/g:ce/rs:fit:770:435/bG9jYWw6Ly8vZGl2ZWltYWdlL21pY3Jvc29mdF9haV9pbmZvMi5wbmc=.webp)
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Microsoft Shares Notes on the Potential of AI for Enterprise [Infographic]
Look, I notice that this AI utilization overview from Microsoft is designed to alleviate considerations amongst authorities departments, which is a key income stream for Microsoft. However in amongst its sensible notes as to how and why AI might be helpful to authorities businesses, and certainly, any enterprise, there are additionally some attention-grabbing factors of be aware as to what AI is, and its limitations.
The overall logic right here is sound, that AI isn’t a singular resolution, and that it’s going to nonetheless require human oversight to really maximize the worth of those instruments. Which anybody who’s used AI programs will pay attention to, however it’s value highlighting amid the broader hype, and worry, round AI altering work as we all know it.
However what I discover most attention-grabbing is notes like “AI is simply math”. That’s appropriate, the present slate of AI instruments is definitely not what you’d outline as synthetic “intelligence” in any respect, as a result of there’s no inside “thought” course of at play, it’s simply machine calculations, taking this knowledge level and that knowledge level, then pushing out the probably end result.
They’re significantly better at doing this than earlier programs, and the outputs could be human-like. However these programs will not be “pondering”, they’re not making an allowance for the depth of what you’re asking, and providing you with a nuanced response. It’s simply math, as Microsoft notes, and that math is relative to the info inputs that any given system has entry to.
That’s contextually essential in understanding how these instruments work, as are the notes right here about “grounding” and coaching AI fashions on particular makes use of.
Basically, AI instruments could be helpful, however the hype round them might, at occasions, be overselling their capability to have an effect on your work.
That’s one ingredient of this overview, however the different notes are additionally value noting, each from a authorities and basic enterprise perspective.

Andrew Hutchinson