Madrid hosted the 10th edition of Prediforo on June 10 and 11. Reliability leaders from Repsol, Enagás, Iberdrola, Naturgy and Amazon attended. So did representatives from Spain’s Ministry of Industry and Tourism. The focus: turning huge volumes of plant data into real decisions.
The real challenge isn’t collecting data
Industrial plants generate signals faster than most teams can act on them. That gap between raw data and decision-making shaped nearly every session at the event.
Speakers tackled it from different angles. Iberdrola showed how it uses motion amplification for machinery diagnostics. Ilboc and Preditec shared signal-normalization methods for comparing equipment performance across large fleets of pumps.
monom by Preditec CEO José Fernández-Díez and Product Manager Jorge Arancón walked through Hannah, the platform’s AI layer. It works across three levels: the data itself, the applications that interpret it, and the agents that act on it.
That structure mirrors monom’s broader approach. Spotting an anomaly is just the start. The real value comes from identifying the failure mode, estimating remaining useful life, and delivering a prescriptive recommendation. All of it happens inside one platform, connected to whatever historian, SCADA or DCS a plant already runs — no firewall changes needed.
One case study, one shared trend
A case study from Sonae Arauco, presented with Alberto Vicente, Advanced Analytics Lead, grounded that architecture in a live operation. Other sessions, from Enagás to Amazon, pointed to the same trend: the energy transition is compressing maintenance-planning cycles. That means teams need infrastructure that can centralize data fast enough to keep up.
This piece builds on other outlets’ coverage of Prediforo 2026. It zooms in on how Hannah’s data-applications-agents architecture turns industrial signal volume into AI-driven predictive maintenance built for action — part of Monom by Preditec’s broader approach to the space.
Source:
Industria Química – https://www.industriaquimica.es/noticias/20260618/-mantenimiento-predictivo-fiabilidad-protagonizan-10a-edicion-prediforo-con-preditec-monom
