RESOURCES

Predictive maintenance (PdM) has been hailed as a game-changer for maintenance operations in industrial companies, promising to reduce unscheduled downtime, optimize the costs of maintenance schedules, and prevent costly breakdowns. While PdM technology has seen…

Sensor drift is a common issue in the industrial world that can have significant impacts on the accuracy and reliability of sensor data. It refers to the gradual, subtle changes in the sensor that happen…

In recent years, there has been a massive increase in the amount of industrial data generated globally. According to a report by IDC, the global volume of global data is expected to reach 175 zettabytes…

What happens when a data scientist finds an error in the data? For example, what happens if you import a data set and one of the Excel tabs is missing? Or the units of measurement…

Identify when sensors begin to drift so that you can act before the equipment fails. At the first sign of any deviation, APERIO DataWise can alert the operator to make improvements before it’s too late.

Converging the IT and OT worlds has definite benefits as well as, many challenges. As digital transformation drives these worlds together, APERIO DataWise is the only solution that can find anomalies in both worlds.

Whether you are the PI system administrator, the PI end user, the IT leader, or a data scientist, you need good data to deliver optimum business value to your organization. Learn how to systemically improve the data quality of your PI data.

At the Olympics, every element of an athlete is analyzed and optimized, so much so, that small micro insights are invaluable. Learn why it’s time for you to look at your data with the same scrutiny!

As we put 2021 in the rear-view mirror, we reflect on what an exciting journey it has been from co-founding APERIO to seeing how far it has come in such a short time. This blog shares our ‘origin story’, how we developed our category leading product, and our plans for 2022 and beyond.

Customers exemplify a strange cognitive dissonance with data, where they say ‘yes, we need to aggregate and store data, but we’re not concerned with its quality’. What??? Isn’t the crucial detail to using data, its accuracy and reliability?

Widespread adoption of IIoT continues to growing rapidly. A 2020 study by Jupiter Research predicts that the number of IIoT connections will more than double from 17.7 billion in 2020 to 36.8 billion in 2025.

My name is Livia Wiley and I’m the Vice President of Marketing at APERIO. As a marketer, I am challenged with taking technically challenging details and crafting a story that appeals to the buyer persona we seek. Sometimes this can be difficult; while other times, it’s quite obvious. This blog is about the latter.