AI Adoption posts

The role of TinyML in the industry: Overview

The role of TinyML in embedded systems that is revolutionizing the AI industry.

Industry at the Edge

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

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