Everyone is chasing generative AI and autonomous agents, but the industrial AI that already delivers, predictive maintenance and computer vision, never left the factory floor. A field reality check on hype versus what actually works, and why the best engineering starts with the problem, not the technology.
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.
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.
AI is transforming the way businesses operate, but it also introduces new security concerns. Companies must protect their data from cyberattacks, comply with data protection regulations, and ensure their AI models are ethical and transparent. Deploying AI at the Edge can provide a secure infrastructure for private, compliance, and secure AI deployment.
Do you want to know how you can monitor all your distributed assets and regain control over them? Join us on April 18th at 17:30 to our DEMO & BEERS together with Mytra at Advanced Factories.
We have seen especially during the last few months how model releases with billions of parameters requiring high processing power have been reproduced. On the other hand, there is also a growing trend that revolves around the ability to run lightweight models in real-time without the need for constant connection on low-power devices such as microcontrollers, sensors, and other embedded systems which is also revolutionizing the AI industry. This trend is known as TinyML.
Under the name SEC2GRID, Barbara together with Ingeteam, Iberdrola, Ormazabal, Arteche, PwC, Zigor ZIV, Ikerlan and the GAIA Cluster will provide cybersecurity to the electricity grid. A collaborative framework composed of competing companies that will extend to 2024 with a total investment of €6.4 million.
In general, it is important to clearly understand your business requirements and the problem you are trying to solve when determining the best approach to automate the retraining of an active machine learning model. It is also important to continuously monitor the performance of the model and make adjustments to the retraining cadence and metrics as needed.
Barbara is currently actively participating in a series of Research and Development projects promoted by the Basque Business Development Agency (SPRI) and supported by the European Regional Development Funds (ERDF).
The new version v2.3.0 of the Barbara platform focuses on making it easier to manage your edge applications, giving you a new view centered on them, and making general information monitoring of your nodes more user-friendly.
