Here is the answer of the question: Which challenge is Cloud IoT designed to address?
- Organizations ﬁnd it diﬃcult to stay ahead when they continuously have to accommodate new data sources and more data without sacriﬁcing eﬃciency.
- Accepting that most devices can theoretically be connected to a network, building and managing such networks in a global, secure way—and then getting data out of them for analysis—is complex and diﬃcult for organizations.
- Multiple data marts are ineﬃcient: they are complex and costly, and they make data diﬃcult to use.
- Organizations that want to take advantage of machine learning need to centralize their data with a managed data store that can consolidate structured and semi-structured data.
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