Too Much Data: The Challenge of Rare Events

In this clip, Adi Hazan from Analycat discusses the nature of data, particularly in IoT (Internet of Things) contexts. He notes that most data is repetitive, with significant events being rare yet crucial. For example, a device on fire won’t send data, making the absence of data extremely important, yet often overlooked. He compares this to language, where rare words convey specific meanings. He suggests that the challenge lies in identifying these rare, meaningful events amidst vast amounts of data, as simply having more data doesn’t guarantee access to specific, valuable information.

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