Technology posts

Deploying Intelligence on the Edge with Docker

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.

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Barbara presents the Industrial Edge Computing Barometer

Barbara IoT publishes the first Industrial Edge Computing Barometer, a report to help understand the degree of development of this technology in Spain.

Technology

Main trends on Edge AI to watch

Edge AI has emerged as a game-changer technology for the Industrial World. Industries with highly distributed critical assets will be the great beneficiaries of taking advanced computing to the Edge.

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Barbara brings its Industrial Edge knowledge to the ONNECTED project for the digital transformation of the HORECA sector.

ONNECTED project seeks to digitise, connect and enable the communication of all equipment in the HORECA and Industrial Laundry sector in a cybersecure manner. Supported by AI and Big Data, manufacturers can now incorporate sensors, software and wireless connectivity to add new features to their products and differentiate them in the market.

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Distributed Computing as a Catalyst for Change in the Industrial Sector

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.

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How to accelerate distributed intelligence at the Edge with Low Code

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.

Technology