2018 - PI World - Barcelona - Industrial Analytics
Using OSIsoft Cloud Service to Fuel Cognitive Computing and Machine Learning Services
OSIsoft PI Systems offer an abundance of data that can be used to fuel successful machine learning projects. However, several bottlenecks exist that make it difficult to acquire, label and analyze this valuable information. Working with OSIsoft Cloud Service, Toumetis has built an end-to-end cognitive computing solution that incorporates SME guidance to enable the deployment of machine learning algorithms that provide predictive insight for industrial operators. This session will provide an example of how a leading hi-tech manufacturer is using advanced machine learning to identify anomalies in complex production processes related to both assets and resources.
● Learning objectives:
Utilizing OCS to share data with cognitive computing solution to identify operational issues and predict asset performance
Attendees will learn about the benefits of cloud-based machine learning for predictive maintenance to enhance business operations and enable new revenue generation
Laurent Garrigues has been working for OSIsoft since 2000, starting in the field service and training teams out of the Montreal office. He specialized in products such as PI ACE, Sigmafine and RLink. Laurent moved to the Product Management team in 2007 and has since been responsible for PI AF, PI server and PI Notifications products. Since 2012, he is overlooking the different OSIsoft’s Cloud initiatives. Laurent holds a MSc in Physical Oceanography from University of Toulon, France and a PhD in Applied Statistics from McGill University in Montreal.
John has 20+ years of experience developing monitoring systems, gathering data, and using machine learning and predictive analytics to solve real-world problems—from improving efficiency to preventing system failures. His experience includes the oil and gas, energy, marine and aviation sectors in areas as diverse as advanced signal processing, artificial intelligence and machine learning through to big data architecture and analytics. Most recently John was Analytics Director for GE Oil & Gas. He has also held senior technology and product roles at Airbus and Rolls Royce. He holds a bachelor of engineering in Avionics from the University of Glasgow.