Edge Analytics in 2020: Guide to intelligent IoT applications

Data and insights are valuable assets for any company with data driven decision making permeating every aspect of our lives. 

Historically, businesses collected data from different IoT devices and sensors, gathered them in a central point such as a data lake or data warehouse and performed analysis to gain insights. What if organizations can remove the step of data centralization/integration and skip to the analysis phase? This approach is called “edge analytics” and enables organizations to achieve Read more

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IoT Analytics in 2020: An In-depth Guide

By 2020, it is expected that there will be between 20 and 30 million IoT units in the marketplace, according to a study conducted by Gartner. With this much data being collected, the need for a way to analyze it grows exponentially. Many of the enterprise applications for IoT analytics, such as in manufacturing, finance, telecom, healthcare, and others have unlimited potential when data is managed and analyzed correctly.

To meet this need, IoT analytics has emerged as the broader category of uses and applications designed to help analyze the data obtained by IoT sensors. Once this data has been properly analyzed it can then be used to help make better, data-driven decisions for organizations that are in search of a competitive edge.

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