Experiences based on the use of predictive methodology
In this presentation of capabilities and use cases for the application of predictive algorithms, which is organised by AMETIC, experiences based on the use of predictive methodologies to improve the management of projects, products and processes will be showcased. The capabilities and techniques developed by the Prediction Group of the Artificial Intelligence and Big DataCommissionwill be presented.
- Our colleague, Asier Alonso will comment on the new digital services based on predictive quality models for forming machinery.
- We will also have the opportunity to discover a Big DataPlatform powered by artificial intelligence and designed for the monitoring of train fleets and the early detection of any anomalies in various systems. The aim is to maximise uptime; a fleet management solution for the development of ML models capable of on-line and automatic execution of corrections and alarms to improve the forming process and failure prediction, as well as a demand forecasting system to improve production planning, stock reduction and the optimisation of time and costs.
- An alternative using artificial intelligence will also be presented in the first Data Hub aimed at developing personalised predictive analytics for people with disabilities in order to overcome the barriers faced by some groups.
The future of predictive algorithms
The conference will conclude with the round table on "The future of predictive algorithms".
- Leading members of the Prediction Working Group of the Artificial Intelligence and Big DataCommission will participate ; including our colleague, Joseba Laka as well as José María Armingol, professor at the Carlos III University in Madrid (UC3M).
- Joseba Laka is the Digital Director at TECNALIA and is Vice-Chairman of AMETIC's AI and BD Commission.