• Using Operational Data for the Future Maintenance of the French Rail Infrastructure

    SNCF RÉSEAU (NETWORK), an SNCF Group Business Unit, manages, maintains and develops the French rail network. SNCF RÉSEAU embarked on an organization-wide modernization and digitization program to increase the utilization availability of its assets, better plan maintenance and investments. Those ...
    Year: 2017

    Implementation of CAMO Process Pulse to enable online multivariate data evaluation in real-time

    The fundament of all process optimizations is the data, historical data that was generated in earlier production or data generated in R&D runs. 60% - 80% of the time is used to search, combine and cleanse the data before you ...
    Year: 2017

    Leverage Digitalisation at the Operational Level with Self-Service Analytics of TrendMiner

    ARLANXEO is a world-leading chemical company developing, manufacturing and marketing synthetic high-performance rubber for use in various industries. In this presentation, Herman Schuster, Chief Digital Officer at Arlanxeo, will discuss how TrendMiner’s self-service analytics at the operational level of the organization ...
    Year: 2017

    The Data Journey:An Intelligent Path to Machine Learning

    In 2008 we were looking for methods to enhance our capability of monitoring the vibration of Generating Turbines through dynamic speed ranges. To solve this problem, we created an anomaly detection algorithm that was generic, scalable, and easy to use ...
    Year: 2017

    Are Mobile Technologies Safe Enough for Industrie 4.0?

    Mobile devices deliver tremendous convenience and productivity for consumers and businesses alike. Critical infrastructure and, especially Industry, seek to harness the same benefits and efficiencies. The lingering question on everyone's mind is: are mobile technologies safe enough? Industry needs to ...
    Year: 2017