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..

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January 28, 2020 / machine learning, transitioning from R&D to industry, industrial drawing automation, P&ID digitalization

Industrial Machine Learning: Digitization of Engineering Diagrams

In this second article of the Transitioning from R&D to Reality series, we focus on an industrial machine learning (ML) application: digitization of the engineering schematic diagram. Schematic diagrams are the bread-and-butter of the industrial..

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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..

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November 12, 2019 / machine learning

Machine Learning for Industrial Use Cases: Hard-Won Lessons

With the advent of the era of "Big Data" and the subsequent explosion of interest in applying data science techniques to all manner of problems, it has come as no surprise that heavy industry has been exploring these areas in recent years. The..

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October 15, 2019 / machine learning, predictive equipment maintenance

Getting Started with Machine Learning for Compressors

If you work with natural gas, chemicals, or other industrial processes, it’s likely you deal with compressor systems. These systems tend to be complex, fit-for-purpose, and expensive. However, due to their role in maintaining phase states,..

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July 16, 2019 / data science, industrial internet of things (IIoT), machine learning

4 Things You Should Know: Starting an Industrial Data Science Initiative

Have you considered starting an industrial data science initiative but don’t know where to start? Keep on reading and I’ll tell you 4 important things you should know.

 

1. What kind of operational challenges can data science address?

Machine..

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May 14, 2019 / data science, industrial internet of things (IIoT), machine learning

Data Science Applications: 5 Things an Operations Engineer Should Know

Over the last few years, the utilization of data science and machine learning techniques in asset-heavy industries have taken off. Digital transformation is moving from proofs of concept into an ecosystem of fully-fledged data science applications...

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April 23, 2019 / machine learning, artificial intelligence

Why do so many AI Programmes Fail?

Most companies have started or planned to start a digital program. One they hope will transform their business, deliver improved results and move their company to higher levels of performance and shareholder value. So far, very few have seemed to..

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April 9, 2019 / industrial internet of things (IIoT), big data, machine learning, artificial intelligence

De-mystifying the Terminology of Digital Transformation

If you’re an engineer, operator, adviser, or executive working in heavy industry, odds are high you’ve heard more and more about trends, buzzwords, and ideas suggesting software and data science will radically transform your business. However, the..

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