AI Adoption posts

MLOps at the Edge: Advantages and Challenges of Deploying Machine Learning Models in Edge Computing Environments

Discover the benefits of implementing MLOps at the Edge for faster data processing, improved security, and reduced latency. Learn how to overcome the challenges of deploying machine learning models in Edge devices.

Industry at the Edge

AI for predictive and preventive industrial maintenance

AI for predictive and preventive industrial maintenance

Industry at the Edge

IoT Edge and AI in water industry: from remote metering to smart water management

The digitization of the water sector has served to achieve greater efficiency in management throughout the water cycle.

Industry at the Edge

IoT Edge Computing, edge nodes and industrial use cases

Intelligence moves to the Edge with IoT and Edge Computing. Edge computing technology has become one of the trendy technologies, especially in the industrial sector.

Main trends on Edge AI to watch

Edge AI or AI on the Edge has emerged as a game-changer technology for the Industrial World. Find out about Edge AI trends on this article

Industry at the Edge

Edge AI for sustainability in the water sector

We talk about "water sustainability" when we talk about the resilience of their infrastructures, i.e. how prepared they are for adverse situations.