Videos

Use Case: Macgregor
MacGregor wanted to partner with Arundo to go from equipment focus to solution focus. Using data analytics would help predict the up and downtime of various equipment.

Use Case: Klaveness
Torvald Klaveness is a shipowner and operator looking to improve the nature of shipping by lowering fuel consumption, reducing OPEX, improving port turn-around time and increasing the capacity of all employees. In order to achieve this, Klaveness’ first step was to enhance the visibility of all the sensor data collected on board. This task required industry collaboration, standardization and fast piloting of use-cases and new technology.

ABB Arundo Virtual Flow Meter
Find out how ABB and Arundo's Virtual Flow Meter software can help oil and gas operators maximise hydrocarbon production, reduce CAPEX and OPEX and do so on hundreds of wells.

Arundo Edge Agent
Get the power of edge computing in minutes with Arundo Edge Agent. Based on deep experience in field control and SCADA systems and cloud architecture, we have created the easiest way to connect, analyze, and act upon remote field data. Connect in minutes, compute locally, and make better decisions rapidly. Edge Agent manages common edge computing pain points.

Arundo Maritime Suite Powered by Veracity
Find out how Arundo and Veracity enable crews, fleet operations, and maintenance personnel, on ship and on shore, to easily select, stream, compute and run advanced analytics. Arundo Maritime Suite brings advanced analytics and machine learning to ship and shore, allowing mariners to easily connect, visualize, and analyze critical process data. Purpose built for today's mariner, from crew to captain to fleet manager.

An Overview of Arundo Edge Agent
In this video you will get an overview of our Arundo Edge Agent.

Arundo Model Management
In this video you will learn how Arundo Model Management allows a data scientist to be able to get their models in front of the right people at the right time as quickly as possible.

Typical Process for Developing Predictive Equipment Models
Alexandra discusses a typical process for data scientists building predictive equipment models.

Building and Training Automated Topic Labelling Models
In this video Alexandra shows how to automatically classify massive amounts of historical failure data.

Building and Training Automated Sensor Labelling Models
In this video, Alexandra shows you how to automatically label sensors based on piping & instrumentation diagrams.

Organizing Data For Industrial Data Science
In this video Alexandra shares the methodology behind tools we are building to structure and link data from different sources within asset-heavy industries.

Maritime IOT Analytics
In this video Arundo maritime experts speak to the challenges and opportunities for advanced analytics in the industry.

Data Requirements For Industrial Machine Learning
Alexandra discusses the four major types of data required to develop predictive models for heavy industrial equipment.

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