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"problem with the market so far has been the wide range of networking options – from NB-IoT to LoRa – that make it too complex"

lightreading.com/iot/atandt-ot

@lupyuen And that's the easy part of the equation. What people forget is that IoT produces more information than the benefactor is capable and interested in consuming.

Going from streams of data from 1000s of sensors to "And then what?" is such a huge step and few people talk about it, because it doesn't scale.

@niclas @lupyuen Pattern extraction from data at scale is the new normal. And it's all kept. Whether they find something they're looking for now, or come up with something retrospectively--finding it in an ocean of data is a solved problem.

@vandys

Not really. I have ~5000 streaming datapoints "deployed", there is nothing that now (or in the future) will have a clue what is being measured, why and what it could possibly mean.

There are meta problems and even meta-meta problems that are not solved.

At the current rate of data being produced, there's nothing "solved" at all. Just for a very small and remarkably narrow span of data, and only when there are large amounts of "copies" of the meta. Real world is not that

@lupyuen

@lupyuen Interesting. I'll be reading this thoroughly in order to prepare for a conversation to be had soon.
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