We talked about distributed computing with Alex Cantos, VP of Product at Barbara IoT about the great challenges of the Connected Industry and Distributed Intelligence. According to him, decision making in Industry is centralized due to the technological challenge of distributing it, but this is going to change; we have the technology that allows us to bring artificial intelligence to plants and create cognitive machines.

Software development is one of the major barriers that industrial companies face in their digital transformation processes. The Low-code philosophy helps minimise the technological gap by eliminating much of the complexity in programming solutions and applications and providing developers with pre-programmed modules and facilities for the customisation of algorithms.

The railway sector is one of the most complex industrial environments in terms of digitization. Technically, it presents a multitude of obstacles that make it difficult to integrate existing systems into modern digital architectures, which explains its low digitization. Edge Computing can be the answer to many of its challenges.

The industry is moving towards a computing paradigm capable of distributing and subordinating real-time decision making to whatever their nodes «think». Edge Orchestrators enable this decision-making process, facilitating the execution of increasingly complex Machine Learning models in a parallel and distributed manner.

Data Sovereignty is the ability of individuals, corporations or governments to decide how, for what purpose, and at what price third parties can use their data. In this sense, the energy market is currently the one that can benefit the most from a data sharing sovereignty environment.

"To the human being we have to give back the values that with the pure and hard Taylorism of repetitive tasks was the antithesis of what Modern Industry is." Diego Galar