L. Gastaldi
How to reduce energy waste with AI
Applying AI to real-time IoT data brings prompt advantages for companies, like a considerable reduction in energy and raw material waste.
30 March 2022
A. Spina
Tackling Data Challenges for a real-time MLOps platform
Moving Artificial Intelligence models to production environments for IT businesses is as much crucial as painful. This article will show how to wrap ML models into containers, how Seldon helps Ops engineers to orchestrate thousands of models together and how Apache Kafka connects these assets with heterogeneous data and heavy workloads.
25 November 2021
D. Fiacconi
What’s the right time to train ML models, again?
Building a performing Machine Learning model requires a significant amount of time to experiment. A data scientist tries different algorithms or different feature engineering strategies before getting the model right. Once the model is tuned to its best, it may be time to serve it in the production environment.
24 August 2021
Radicalbit
Deep Learning Predictive Maintenance for Hard Drives
Predictive maintenance for industry 4.0 helps determine the condition of in-service equipment in order to estimate when maintenance should be performed.
18 May 2020