Technology posts

The Emergence of Edge AI. A Game changer for Industries

Gartner's Emerging Technologies and Trends Impact Radar shows IT leaders where to capitalize on market opportunities. Its latest feature for 2023 points to EDGE AI as the next breakthrough technology. With the growing demand for real-time AI solutions and the need for decentralized data processing, AI at the Edge has been positioned as a critical technology this year.

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Barbara the Kubernetes of the Edge

As organizations adopt Edge Computing and Edge AI to power real-time decision-making in industrial environments, traditional tools like Kubernetes fall short. This article explores the evolution from monolithic systems to containerized microservices, the limits of Kubernetes at the edge, and how Barbara’s platform empowers secure and scalable orchestration in distributed, offline, or resource-constrained scenarios.

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Machine Learning vs Artificial Intelligence: What's the Difference?

Artificial Intelligence and Machine Learning are the most popular technologies used to create intelligent systems and although they are related, they are not the same. Because of this relationship, when you look at Artificial Intelligence versus Machine Learning, you are actually analyzing their interconnectedness.

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Leveraging Edge Computing opportunities

As the market moves from proof of concepts to large multi-application deployments that require scalability, different technological alternatives emerge at the Edge. In this article, we explore the foundation for a successful Edge Computing project.

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AIoT: the perfect union between Artificial Intelligence and IoT

The true potential of Industrial IoT can only be achieved through the introduction of Artificial Intelligence. In this article we will go beyond IoT and will focus on Data Analytics and Data exploitation because for us IoT without Big Data is nothing.

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Technologies at the Edge: A Survey of Industrial Companies

The purpose of this article is to help the industrial ecosystem (service providers, integrators,, companies...) to better understand the industrial landscape of Edge technology. It is known that by 2026, 30% of packaged enterprise capabilities will be deployed on the Edge with integrated resources (gateways with local compute) to drive inference and business outcomes on nearby data. Find out more on the survey we conducted over 200 industrial companies.

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