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 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.
As a general rule, we can define a platform as a set of tools that allows to build more complex systems. IoT platforms facilitate the development and deployment of IoT systems, allowing end users to focus on what is most important to them: operating their business.
As a general rule, we can define a platform as a set of tools that enable more complex systems to be built. IoT platforms facilitate the development and deployment of IoT systems, allowing users to focus on what is most important to them: operating their business.
The use of Docker containers in the Internet of Things is becoming increasingly widespread, but being able to use this technology in IoT requires tools that allow simple, centralised, and secure management of the entire process.