Pdmasummit

How to Develop a Predictive Maintenance Program Aligned to the PoV Process - Julian Zec, Cameron

Applying Data Analytics to Leverage More Energy From Renewables - Pramod Bangalore, Greenbyte

Asset lifecycle management from inception to disposal - Hamid Al-najjar, Seco Tools

Analytics as a Business Value - V R Vijay Anand, Sandvik Coromant

The Redefined Manufacturing Paradigm: Insights Driven Excellence - V R Vijay Anand, Sandvik Coromant

Journey to Production Value from Data & AI in Asset Intensive Industry - Henrik Göthberg, Dairdux

Creating Opportunity to Make Your PM Model Learn More Effective - Kasper Knol, Ford Motor Company

Digital Twins: An Innovative Asset Integrity Maintenance - Arvind Keprate, DNV GL

Cleaner, Better, Cheaper! Water Treatment Plants - Helle Kem Rehmeier, Grundfos

Chairman's Closing Remarks - Diego Galar, Luleå University of Technology

Adding RPA To Your Mix Of Models - Peter Loof Helth

Lack of Failure Data - a Big Challenge in Predictive Maintenance - Philipp Wallner, MathWorks

Systematic Approach to Maintenance Analytics Delivers Good Results - Marko Yli-Pietilä, Stora Enso

Implementing Industrial IoT Systems in High Risk IT Landscapes - Nikolaj Skov Purup, Ørsted

Edge Analytics & Data Lineage - Marty Cochrane

Opening Remarks: Maintenance Analytics in the age of Industrial Intelligence - Diego Galar, LUT

Sustainable Productivity in Final Assembly - Rickard Hansen, Atlas Copco

Implementing Predictive Maintenance in Heavy Industries - Antti Löytynoja, Mathworks