Pierre Baviera – CEO, Presidion

  • With a background in Engineering and Management, and having held leadership positions within multiple companies, Pierre has extensive experience helping organizations across the globe transform their business, with a special focus on technology and innovation. Presidion a specialised advanced analytics solutions company – helping their customers to leverage their data to deliver tangible performance improvement across a variety of topics including Sales/Marketing Effectiveness, Manufacturing Process Optimisation, Asset Reliability, Stock Optimisation etc.


    Title: “Do you want to reduce your Maintenance Operating Costs by 25%? – think Predictive Maintenance”


    Synopsis: Unlike the consumer sector, manufacturers have been using IoT for years. Properly focused IoT capabilities have driven huge change and ROI in manufacturing across a range of operational applications. However, in many instances, it has become a self-perpetuating data gathering exercise with no real focus. IoT is not an end in itself and needs to have clear business goal and ROI. Linking your IoT to a practical application like Predictive Maintenance can drive significant ROI and put a clear structure on your IoT roadmap and measurement of success. Predictive Maintenance (PdM): the use of Advanced Predictive Analytics and multiple historic data sources, aims to predict when and where an asset will fail (and why). This capability offers manufacturers the opportunity to reduce operating costs (10-25%) and product development costs (25%).


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