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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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December 10, 2019 / hydrocarbon production

Production Optimization in the age of Artificial Intelligence

Today’s oil and gas production engineers face several challenges to ensure that their wells are achieving optimal production. Companies are now looking at digital technologies and state-of-the-art data science to solve these challenges.


The Shale..


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..


November 19, 2019 / data-driven insights, SaaS

Getting SaaS-y About Industrial Data Products

The benefits of software as a service (SaaS) software are well documented, but can be challenging to achieve in the emerging area of industrial data-driven products. A few guiding principles can help.

Ah, the sweet promise of design-driven SaaS..


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..


November 5, 2019 / machine learning, transitioning from R&D to industry, industrial drawing automation, P&ID digitalization

Industrial ML Case Study: 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..


October 29, 2019 / data science, edge, data-driven insights

What Your SCADA System Isn't Telling You

Your SCADA system is growing in complexity and capabilities, producing more data than ever before. However, we have reached a point where the issue is no longer an absence of data. On the contrary, there might be too much for the operators to..


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..


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,..


October 8, 2019 / artificial intelligence, predictive equipment maintenance

Equipment Monitoring and Alarm Fatigue in the Age of AI

The proliferation of alarms in control rooms and in the field can cause “alarm fatigue” for some operators. IIoT applications for human-in-the-loop decisions often involve additional alerts and notifications. Choosing the right problem to solve is..


October 1, 2019 / edge computing, predictive equipment maintenance, edge analytics

VIDEO: From POC to Production in Predictive Maintenance

We’ve all seen how successful internet giants have been at deploying artificial intelligence (AI). Now companies in many different sectors want to do the same. In this video, I’ll talk with Carola about the challenges many organizations in..


September 24, 2019 / predictive equipment maintenance

The Journey to Predictive Equipment Maintenance

Predictive equipment maintenance is the ultimate goal of many digital initiatives in heavy industries. However, the reality is much more difficult than operators may anticipate. In this article, I discuss the path to predictive maintenance,..


September 17, 2019 / digitalization, design

What's Missing From Asset-Heavy Digitalization?

There’s been a shift happening and it has a name. You definitely know it and have probably used it already. Depending on your point of view, this name strikes fear or excitement - digitization.

You’re tasked with the digitization of your assets and..


September 10, 2019 / edge, edge analytics

What's Edge Analytics?

There's a growing trend for the need for edge technologies when implementing an industrial internet of things (IIoT) solution. Here I'll explore how the impact of edge can be increased through the adoption of edge analytics models. Taking it beyond..


September 3, 2019 / industrial internet of things (IIoT), security

VIDEO: Why is Security so Important in Industrial Internet of Things?

In this video, I’ll explain to one of my colleagues, Nadia, why security is so important in the industrial internet of things (IIoT). As I’m out with our customers on a regular basis, I get several questions about security. Here I’ll go through my..


August 27, 2019 / machine learning for IIoT, transitioning from R&D to industry

Machine Learning in Industrial Applications: Research to Reality

There’s an emerging trend using machine learning (ML) in industrial applications. However, transitioning a solution from a research and development (R&D) setting to actual use in industry is not without hiccups. In this first article in our series, ..


August 20, 2019 / pump analytics, advanced analytics

Pump Analytics: Solving Pump Inefficiency and CO2 Emissions

CO2 emissions are a major concern for many sectors and people in general. The major CO2 emitters are well known: energy production, agriculture, live-stock rearing, industry, and transportation. However, few associate pumps with CO2 emissions. In..


August 13, 2019 / industrial internet of things (IIoT), edge computing, big data, edge analytics

On the Edge: The Increasing Importance of Decentralized Analytics in IIoT

Big data, data lakes, cloud computing. Well-recognized terms that have generated a lot of hype in recent years. Many industrial internet of things (IIoT) companies hope to recreate the wild success of the big data giants using their data to generate..


August 6, 2019 / build vs buy, solution architecture, data-driven insights

How to Start Thinking About Architecture for Data-Driven Solutions

Are you considering data-driven solutions to improve or create new business outcomes, and/or business models? Do you need to consider how such a solution would fit within your infrastructure? As I architect solutions at Arundo, I’m often asked to..


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?



July 9, 2019 / industrial internet of things (IIoT), artificial intelligence

More Pilots Than an Airline: Scaling AI and Digital Transformation

Referring to their internal digital program, a customer once said: "On Artificial Intelligence (AI) we have more pilots than a major airline". This is a common pitfall companies struggle with as they move from proof of concepts (PoC) to actual value..


July 2, 2019 / industrial internet of things (IIoT)

Why is Industrial IoT Implementation so Hard?

Maybe you’ve heard this type of story before: an industrial company announces the start of a major digital initiative. Time goes by, but nothing seems to happen. After many months, and many meetings, there is little to show for the efforts.



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..


June 4, 2019 / chief digital officer

What You Should (and Shouldn't) Expect From Your CDO

There’s currently debate among industrial leaders, digital evangelists, academic scholars and business researchers whether Chief Digital Officers (CDOs) are making a difference; if they’re needed going forward; and if so, what should their focus be...


May 28, 2019 / industrial internet of things (IIoT), big data

Rapid IoT Projects in Industry - Where Should You Focus?

Setting out the best strategy to implement data analytics solutions in an industrial environment can be a roller-coaster ride. In theory, the key to solving many of the challenges that your business is facing is simple: Data – the more, the better...


May 21, 2019 / machine learning for IIoT, field optimization, virtual flow meter, digital wells

What You Need to Know About Digital Wells and Field Optimization

Today’s oil and gas production manager faces a myriad of challenges in ensuring that wells are consistently producing at their highest possible potential. The advent of shale, and its high-volume drilling process, means that onshore production..


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...


April 30, 2019 / industrial internet of things (IIoT), big data

From Industrial Data to Business Value - Why Data isn’t the New Oil

Few people realize how unlikely it is that their industrial analytics initiatives are going to deliver real bottom-line value. In this post, I’ll share some statistics you need to be aware of. I’ll then talk about some of the reasons why the odds..


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..


April 16, 2019 / design thinking

Design Thinking Meets Heavy Assets - How Design can Unpack Problems in a few Hours

Solving problems for the asset-heavy industries can be challenging due to the nature of the work. Blue-collar employees, lots of manual labor, old expensive assets, and extremely high-risk situations. Where do you begin to build a solution for an..


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..


April 2, 2019 / industrial internet of things (IIoT), edge, edge computing, edge analytics

What is Edge Computing - Everything you Need to Know

In the world of the Industrial Internet of Things, or IIoT, we talk about the impact enterprises can derive from combining their Information Technology (IT) with their Operational Technology (OT). There’s an obvious linear relationship between..


March 26, 2019 / tag structures, edge, edge analytics

From Local Controls to Cloud Analytics: Tags to Bridge OT & IT

In this article, I explain how tag-based data contracts simplify the time and effort required to create tangible business value from local operating data.

It’s sometimes hard to remember in these days of touchscreen human-machine interfaces, but the..