Adding AI and machine learning to IoT
By
Jennifer Skinner-Gray
|
December 12, 2025
|
Provided By
Avnet
Adding multimodal AI and machine learning to connected devices will lead to increased IoT adoption.
When new technology enters the market, people may question its purpose. The internet of things (IoT) is a good example. How those technologies reshape our lives is more apparent. Smart homes, streaming services and contactless payment are all things enabled by IoT.
The same question could be levelled at AI. We see, read and hear about massive leaps in technology almost daily, but is it really having an impact?
Although individual applications of AI may not be obvious, its overall influence is being felt everywhere. Change at this scale impacts every level of every industry. We are feeling that strongly in the electronics sector.
Read the latest issue of What’s Next to learn more.
About Author
Related Articles
Safe, secure OTA updates for industrial and automotive
By
Avnet Staff
-
May 14, 2026
How to design safe, secure OTA update architectures for industrial and automotive devices using secure boot, strong key management, and fail safe partitioning.
Demonstrating the cross-vendor smart home experience
By
Philip Ling
-
February 24, 2026
Bringing simplicity to connected devices is at the heart of Avnet’s /IOTCONNECT platform, powered by AWS. Thanks to tight integration with the AWS ecosystem, Avnet can demonstrate how connecting multiple smart home platforms is now even simpler.
Related Events
IoT Skills: Learn How To Rapidly Secure Your IoT Design with Azure Sphere
Date: August 14, 2019
Location: Webinar
