This is the second article produced as part of a series where we will be covering the complexities of the Digital Transformation in industrial companies towards the full IT-OT convergence. This time we focus on the Data Journey
This is the first article of a new series we will be producing to cover the complexities of this journey towards the full IT-OT convergence in industrial companies.
Most industrial companies (up to 77% according to a last-year study by IBM) are working or planning to work with AI and Machine Learning as a means to optimize their operations or enable new revenue streams. And Machine Learning Operations (MLOps) is becoming the paradigm as a work framework for the Data and Infrastructure teams involved.
In an era where sustainable and efficient energy solutions are more critical than ever, Barbara's recent partnership with other 33 companies in the ODEON project will contribute to the journey towards a greener, smarter energy future.
By controlling data closer to its source and therefore deciding which data needs to be sent to the cloud, the cybersecurity risks of theft or improper access to information are much lower with Edge Computing.
Moving towards a decentralized, intelligent and cybersecure Smart Grid involves a series of challenges that we explain in our new site
Docker brings enormous flexibility to application development teams: it gives them the freedom to develop in the programming language of their choice and deploy them easily without worrying about the final hardware on which they will run. It also simplifies the maintenance and version control of the applications themselves, which is very useful for homogeneous deployments in distributed environments.
The IoT device is by far the most vulnerable element in the entire security chain. And the main reason is the lack of firmware updates.
Barbara IoT publishes the first Industrial Edge Computing Barometer, a report to help understand the degree of development of this technology in Spain.
New technologies are changing maintenance techniques. In just five years, predictive maintenance has gone from an uncertain use case to a fast-growing application with a clear return on investment.
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 electricity sector is undergoing a revolution and Edge Computing is positioning itself as a great ally. But in which use cases is this technology being applied?