Aratubo – Energy Efficiency and Processes Aratubo Sector: Industry Business Case Predict the energy consumption of the six different production lines associated with each manufacturing family. The problem is that we currently only have energy consumption per ton of pipe manufactured and per line. The challenge is to associate the energy consumption of each of […]
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Ariadna Grid – ARIADNA Connectivity Algorithm: Automatic Detection of LV Grid Topology Ariadna Grid Sector: Energy Business Case How can the low voltage (LV) grid topology be calculated using an AI? The connectivity of each meter with the corresponding transformer station, panel, line, and phase must be identified based on the recorded currents from the
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ITP Aero – Improving the Broaching Process Using ML ITP Aero Sector: Industry Business Case It seeks to improve both the capacity (variability reduction) and quality of broached products at ITP Aero through data-driven modelling. Objectives Process capability improvement (reduction of dimensional variability) and quality improvement (reduction of allowances) through the use of ML-based correctors
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Grupo Lanit – Customer churn prediction Grupo Lanit Sector: Mobility Business Case The company needs to anticipate behaviours likely to be abandoned by its customers. Objectives Anticipate the risk of customer leakage or loss and take preventive measures to retain customers, such as offering them personalised offerings Optimise the resources and budget allocated to marketing
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Ayesa – Cardiac risk prediction Ayesa Sector: Health Business Case Improve the triage of patients with non-traumatic pain in the A&E department (ischemic heart disease) to reduce the number of false positives without increasing false negatives. Objectives Correctly classify ischemic heart disease in A&E with emphasis on minimising false negatives that mean that someone may
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Lantek – Forescrap: Prediction Service for Scrap Generated in Sheet Metal Cutting Processes Lantek Sector: Industry Business Case In metal part manufacturing processes involving cutting, the generation of scrap or unused material is closely tied to how efficiently the parts are arranged on the sheet metal. In order to address this challenge, the Forescrap system
BCAM – Probabilistic Predictions for Energy Management Based on Continuous Learning BCAM Sector: Energy Business Case Obtaining accurate energy demand predictions is difficult due to the continuous changes in consumption patterns (concept drift). Accurate forecasts can optimise the planning of energy production as well as its distribution, resulting in efficient generation and minimising the risk
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LIS Data Solutions – Demand forecasting and suggestion for procurement LIS Data Solutions Sector: Generalist Business Case Warehouse inventory management based on sales forecasting. Once the forecast is done, knowing the supplier’s LTsr, the level of service we want to deliver to the customer and the pending orders to be received, we come up with
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CAF – Passenger Counter Based on Computer Vision CAF Sector: Mobility Business Case We propose to develop a passenger counter based on computer vision. There is currently one infrared sensor per door for passenger counting. In general, each functionality needs independent sensors. We are looking for a comprehensive solution that combines different functionalities in one
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LKS Next – Deep Learning Systems for Actionable Healthcare Knowledge Generation LKS Next Sector: Health Business Case Healthcare organisations are increasingly interested in the application of artificial intelligence (AI) to improve healthcare, reduce costs and improve the efficiency of healthcare services. Two of the cases in which this technological transition is to be applied are
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