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.