Industrial
Make Devices Think: Embedded Data Management for Real-World of IoT and AI - Blog
November 04, 2025Human thinking mirrors data management: we ingest sensory inputs like a device sampling sensors, filter and index what’s relevant through attention, hold items in working memory like caches/queues, and store experiences with context and schema (who/what/when/why) for long-term recall. When we reason, we query and join fragments to form a picture; when we learn, we update models, so future inferences are faster and better. We also forget or compress low-value details to stay agile, and we practice metacognition, monitoring errors and drift, to self-correct. In short, the quality of our thought depends on how well we capture, organize, retrieve, and refine information, the very foundations of good data management.
Security
CIA Protects Embedded Data Across Connected Devices - Blog
May 09, 2022ITTIA SDL Shields Data and Secures Development of Embedded Systems