Comfort zone

Provoking innovation and experimentation

Many think that promoting "real" innovation is a very satisfying, "cool" job. My friends are astounded when I tell them how long it takes to build a…
Data-Monetization

Data monetization: the 5 rules for extracting new value from your data

With data monetization - the monetization of data, which is the process of strategic analysis and practical implementation that allows you to use data…
Clea Big-Data

Big data monetization: take the first step with Clea

Big data monetization - literally, data monetization, which is the process of strategic analysis and practical implementation that allows you to use…
Edge Computing AI

Edge computing and AI, a winning pair: the pluses for data analysis

Cloud computing allows for significant cost-cutting in terms of data centres, providing access to resources for storage and calculating capacity that…
Solution Brief

Deliver Superior Performance, Security, and Connectivity at the Edge

Engineered with 11th Gen Intel® Core™ vPro®, Intel® Xeon® W-11000E Series, and Intel® Celeron® processors, the SECO CHPC-D57-CSA COM-HPC® Client…
Data Driven Approach

Data-driven approach, what is it and why does it increase competitiveness

What is a data-driven approach? Adopting a data-driven approach means making strategic decisions based on data analysis and its correct…
Gartner Report

Gartner® Report: Market Guide for Edge Computing Solutions for Industrial IoT

SECO is pleased to announce that it has been named as a Representative Vendor for Edge Computing Vendors Focused on Industrial IoT in the Gartner…
Retrofitting by Design Thinking

Smart Retrofitting by Design Thinking applied to an Industry 4.0 migration process in a steel mill plant

Abstract: All the features and components of the Internet of Things and Industrial Internet of Things are driving the transition to Industry 4.0. New…
Machine lerning at the Edge

Machine Learning at the Edge: A few applicative cases of Novelty Detection on IIoT gateways

In the paper, we present the design and development of the Machine Learning (ML) modules for two case studies. In both cases, we developed an ML model…