IoT is growing, and more and more devices are coming online. All these devices generate a lot of data but how do you make sure that the data is correct and trustworthy?

As IoT systems grow, so does the amount of data that they generate. Previously it was possible to manually inspect and correct errors in the systems, but recently we have seen systems with 6,600 and 60.000 million data points per year, making automated algorithms for data validation a necessity.

This white paper aims to give an overview of different methods and algorithms for validating IoT data and making sure, that the gathered data is correct and trustworthy, i.e. useful. If the data cannot be trusted, then how can you trust the outcome of the analysis performed on that data. 

Get access to the whitepaper here: