Resources

PMML: What is it and why should you care about it?

PMML stands for Predictive Model Markup language. PMML provides a way for analytic applications to describe and exchange predictive models produced by data mining and machine learning algorithms.

Monitoring Critical Process Measurements using Soft Sensors

The first of a five part series written and compiled by UReason's Consultant Artur Loorpuu.

Article Series: Business case building for predictive maintenance projects

The first of a five part series written and compiled by UReason's Consultant Artur Loorpuu.

Technohub Initiative

In synergy with several organisations, UReason hosts masterclasses and workshops.

Article Series: Predictive Maintenance project phases

The first of a five part series written and compiled by UReason's Consultant Artur Loorpuu.

Asset Performance Management

Asset Performance Management is one of the foundational concepts of digital transformation.

Invest in Predictive Maintenance?

Benefits and risks of investing in PdM​

OEM 4.0 – Three Ways Valve and Pump Manufacturers Can Turn Data into Dollars

The Fourth Industrial Revolution is transforming manufacturing.

Three Myths about Manufacturing in the Times of Big Data and AI

How did big data and AI transform manufacturing?

Big Data in Small Places – 5 Ways your Pumps and Valves Can Save you Millions

To get the most out of big data, you have to look for it in small places

How to Improve Situational Awareness – Part 1

How would improved situational awareness benefit your assets?

Citizen Data Science – a Driver for Better IoT and CEP Solutions

Why is Citizen Data Science a driver for better IoT and CEP solutions using Operational Intelligence?

Starting an CBM/PdM Project – Key Learnings

How to execute CBM/PdM projects better?

IIoT Communication Readiness – What You Need to Know

A crucial aspect in IIoT applications is the communication layer. It is complex.

The Industrial Internet of Things – Hype or Reality?

Can IIoT benefit your operatios? If so, how?

ESP/CEP in Predictive Maintenance?

Learn how to use of event asset data to enhance predictive models and detect early failures

Event Stream Processing or Complex Event Processing?

Which one to choose?