IoT For All Podcast · 17 May 2021 · 31m
Alessandro Fossato, Co-Founder and CEO of Interlogica, discusses the evolution of IoT software from simple connectivity to complex data-driven business models. He explains how Interlogica shifted from agile IT consulting to building custom IoT solutions that bridge the gap between physical sensors and executive decision-making. Fossato highlights the importance of edge computing and machine learning for processing large data volumes, using a real-world example of AI-based quality assurance in manufacturing.
Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.
Quality & test
Interlogica built a custom machine learning system to analyze photos from production lines to identify defective products for a client.
“this quality can be monitored through an AI, let's say a machine learning system that is able to recognize from a photo, the quality of the product and recognize which product is defective. … This is a real example about something we did. And we are still working on, but it's already working.”
Speaker 1 · Hear it at 17:14
established companies
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