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..

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..

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..

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..

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..

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.

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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..

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..

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..

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...

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...

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..

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...

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

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..

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..

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..

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..

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..

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..