MOST RECENT
Monitor Your Critical and Less-Critical Assets With Machine Learning
BY Nadia C. Aurdal | February 11, 2020 READ MORE
A stanford-startx companyan MIT stex25 company
© 2021 ARUNDO All rights reserved
No matter where your operations are – in the field, at sea or underground – our software can help you connect, compute, and provide new and fresh insight to improve your business.
Learn moreArundo creates modular, flexible data analytics products for people in heavy industries. We connect real-time data to machine learning, analytical models and simple interfaces for better decisions.
Learn moreBrowse through our whitepapers, videos, webinars, and case studies
Learn moreDigital transformation is hard, and most companies do not succeed. The Journey is Arundo’s forum for you and your team to learn from our successes and failures.
Learn MoreOur team members are passionate about being part of a company that can solve tough problems and create innovative solutions. We believe in a fun environment, where our people can be fearless and feel empowered to always do the right thing. Arundites come from many different backgrounds including academia, industry, and even a submarine! We look for smart, creative thinkers with a player-coach mindset who can wear multiple hats and contribute to our exciting future!
Learn moreFounded in 2015, Arundo's proprietary software for asset-intensive industries enables applications for oil & gas, maritime, power, chemicals, and industrial equipment productivity and performance improvement. Our products are built for industrial users, and focus on creating rapid value from industrial analytics.
Learn moreNo matter where your operations are – in the field, at sea or underground – our software can help you connect, compute, and provide new and fresh insight to improve your business.
Learn moreArundo creates modular, flexible data analytics products for people in heavy industries. We connect real-time data to machine learning, analytical models and simple interfaces for better decisions.
Learn moreBrowse through our whitepapers, videos, webinars, and case studies
Learn moreDigital transformation is hard, and most companies do not succeed. The Journey is Arundo’s forum for you and your team to learn from our successes and failures.
Learn MoreOur team members are passionate about being part of a company that can solve tough problems and create innovative solutions. We believe in a fun environment, where our people can be fearless and feel empowered to always do the right thing. Arundites come from many different backgrounds including academia, industry, and even a submarine! We look for smart, creative thinkers with a player-coach mindset who can wear multiple hats and contribute to our exciting future!
Learn moreFounded in 2015, Arundo's proprietary software for asset-intensive industries enables applications for oil & gas, maritime, power, chemicals, and industrial equipment productivity and performance improvement. Our products are built for industrial users, and focus on creating rapid value from industrial analytics.
Learn moreDigital 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.
February 11, 2020 / machine learning, predictive equipment maintenance, anomaly detection
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 17, 2019 / predictive equipment maintenance, anomaly detection
As an increasing number of industrial companies gain experience with advanced analytics, the term "anomaly detection" is becoming more common in discussions across a range of engineering and operating roles. People in a variety of jobs, ranging from..
October 22, 2019 / machine learning for IIoT, industrial internet of things (IIoT), predictive equipment maintenance
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
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
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
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
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,..
December 17, 2019 /
predictive equipment maintenance,
anomaly detection
As an increasing number of industrial companies gain experience with advanced analytics, the term "anomaly detection" is becoming more common in discussions across a range of engineering and operating roles. People in a variety of jobs, ranging from..
October 22, 2019 /
machine learning for IIoT,
industrial internet of things (IIoT),
predictive equipment maintenance
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
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
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
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
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,..
A stanford-startx company