MOST RECENT
Applying ML Across Common Bottlenecks in Industrial Business Processes
BY Tailai Wen | January 14, 2020 READ MORE
A stanford-startx companyan MIT stex25 company
© 2020 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 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 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.
January 14, 2020 / machine learning for IIoT
In this article, I discuss how you can identify the best use cases for the application of machine learning (ML) in industrial operations, from the perspective of technical feasibility and value generated. I recommend a strategy searching for common..
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..
August 27, 2019 / machine learning for IIoT, transitioning from R&D to industry
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, ..
May 21, 2019 / machine learning for IIoT, field optimization, virtual flow meter, digital wells
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..
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..
August 27, 2019 /
machine learning for IIoT,
transitioning from R&D to industry
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, ..
May 21, 2019 /
machine learning for IIoT,
field optimization,
virtual flow meter,
digital wells
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..
A stanford-startx company