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The development of a system and software architecture pivots around structural choices once implemented very costly to change. These choices determine the system’s essential structure; therefore, they are the most important part of its design. ERRE PRO has complete and specific know-how that is deployed during the whole “V” Cycle of development.
Modern systems are getting more and more “intelligent” and have acquired the capability of self-learning. These abilities, in technical terms, are called “Artificial Intelligence” and “Machine Learning”.
The “Artificial Intelligence” term is used when a machine imitates human intelligence within activities such as learning and problem-solving. Machine Learning is composed of a class of algorithms that enable an automatic construction of analytical models, offering to computers the ability to learn without the need for explicit programming by utilizing the algorithms that learn continuously from the data available within the machine.
ERRE PRO offers specific know-how in regards to the design and development of Artificial Intelligence and Machine Learning solutions.
IoT is a software and hardware structure that enables the interaction of “things” through the impulse of IT-led remote impulses: it enables more complex interactions and services, directly connecting the online action with our physical world, as for the distributed calculations and applications. ERRE PRO is actively developing architectures and applications based on the Internet of Things.
ERRE PRO supports Clients on the path of digitalization, helping them to select the most appropriate solutions for their real needs: from system design to execution, with a strong view of the enabling processes. Starting from the specific interventions, such as hardware and software integration, up to the development of full MES systems (Manufacturing Execution System).
Industry 4.0 leads us to digitalization while keeping people in the center of focus while executing the following steps:
Big Data Management: data analysis and management in order to obtain continuous efficiency.