Today’s industry is well aware of the need of a historical strategic change to harness the opportunities offered by the Digital Transformation. This will be driven by innovation and collaboration; there will also be a need to incorporate disruptive technology into its processes to improve its levels of quality, safety/security, reliability, efficiency and sustainability.

This was the tenor of the speech given by Pedro José Hernández Ariznavarreta, Business Partner and Industry Big Data & Digitalization expert of GMV’s Secure e-Solutions sector, during the first conference “Digital Energy: Digitalization Solutions in the Energy Sector”, organized by Energética XXI.

GMV talked about its experience with and knowledge of data analysis applied to various environments, giving the example of the optimization of industrial processes with IIoT and Big Data and stressing the Industry-4.0 applicability of latent variable multivariate regression models.

Data processing based on interconnected devices furnishes us with priceless information for improving industry management and optimizing its resources. Along these lines, advanced data analysis is vital for transforming into valuable information the huge amount of information coming from automatically inter-communicated sensors and machines, freeing people from repetitive chores of manual data collection, culling and processing.

We at GMV support our clients’ digital transformation strategy with the aim of optimizing their maintenance and manufacturing processes. To do so we draw on our experience with platforms based on Big Data, Machine Learning and IIoT technology to improve energy efficiency and the reliability of industrial assets.