Alex is a Co-founder of Senseye, following a successful career developing software for Condition Based Maintenance in industries as diverse as aerospace, defence, energy and transportation.
His background in Digital Systems Engineering and early work on one of the largest wireless sensor networks in the world has enabled Alex to bridge the gap between the real-world and the promises of the Internet of Things.
He contributes his interests and experience to the development Senseye, the Scalable Predictive Maintenance product. Alex likes cats, cars and keeping things simple.
Senseye™ is the leading cloud-based software for Predictive Maintenance. It helps automotive and heavy-industry manufacturers in avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis.
Its intelligent machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery.
Senseye believe the Pulp & Paper industry is one of the few industries able to take advantage of the promises of Industry 4.0 right now, both culturally and technologically.
Alex’s talk will explore the necessary foundations for machine-learning driven predictive maintenance, debunk some myths explain some of the characteristics that make the pulp & paper industry well-suited to take advantage of this technology