About The Journey

Digital transformation is hard, and most companies don’t succeed. The Journey is Arundo’s forum for you and your team to learn from our successes and failures. Based on years of work with industrial companies around the world, our team of engineers, data scientists, and business experts offer practical insights and tips for how to apply machine learning, advanced analytics and IIoT technologies in industrial operations.


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February 11, 2020 / machine learning, predictive equipment maintenance, anomaly detection

Monitor Your Critical and Less-Critical Assets With Machine Learning

In traditional reliability programs, the focus is generally to prioritize those assets that are most critical for the operation of your business. With machine learning and advanced analytics, new opportunities are arising to complement traditional..


December 3, 2019 / digital twin

How can I get the Most Value out of my Digital Twin?

It’s easy to get carried away with the hype around digital twins. The term has been thrown around for a few years now and has also been in Gartner’s Top 10 Strategic Technology Trends in 2017, 2018 and 2019. However, what’s a digital twin? How can..


November 26, 2019 / machine learning, edge analytics, sensors

How Many Sensors Do I Need to Get Started With Machine Learning?

Recent advancements in digital tools allow us to dig into the vast amounts of data we have available and reveal patterns we weren’t able to detect earlier. We are able to build richer analytics and create digital solutions enabling us to monitor and..


October 22, 2019 / machine learning for IIoT, industrial internet of things (IIoT), predictive equipment maintenance

An Overview: Technical Terms Used in Digital Transformation

As we’ve talked about earlier, industrial companies now have the ability to interact with physical equipment like never before. You’ve probably also heard that there’s an urgency for you to get started with your digital transformation. However, you..


June 11, 2019 / industrial internet of things (IIoT)

Implementing IIoT - 6 Critical Factors you Need to Consider

For industrial companies, the ability to interact with physical equipment has never been easier. Now you have the ability to access vast amounts of data from a variety of sources in order to make meaningful business decisions. Many of your..