Michael Lamp -
Director, IoT Business Development
at Avnet
Michael Lamp is Director of Americas IoT Business Development at Avnet.
Working alongside Avnet’s IoT team, he is focused on assisting customers to create secure and connected products. At Avnet, he strives to make technology relevant to customers; he has held positions in Applications Engineering, Management, and Technical Marketing.
Michael’s 20-year career in technology ranges from automation systems to communications infrastructure, as well as experience in computer forensics for E-discovery.
Michael holds a degree in Computer Engineering from Boston University.
Programming secure devices at scale, in a software-defined world
By
Michael Lamp
-
March 7, 2025
Technical article
Software stored in non-volatile memory plays a crucial role in electronic products. Getting software into hardware and securing those devices in a connected world requires specialized support that is both repeatable and scalable.
3 reasons you should move to a SaaS model now
By
Michael Lamp
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March 3, 2023
Technical article
Here are the three leading reasons why IT technology companies, where software is the IP that drives their brand, are making the transition from a traditional original equipment manufacturer (OEM) model to a software-as-a-service (SaaS) model.
What OEMs should know about SaaS and the IoT
By
Michael Lamp
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March 1, 2023
Technical article
When it comes to the IoT, as many myths exist about SaaS as facts. It isn’t just a subscription-based revenue model. The underlying technologies used to deliver SaaS are fundamental and need to be fully appreciated to build a viable solution.
How engineers cut development time in half for an EV fire warning system
By
Michael Lamp
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December 5, 2022
Technical article
Through rapid prototyping, Amphenol developed sensor modules that reliably detect carbon dioxide and hydrogen from cell decomposition venting for early warning of lithium cell thermal runaway.
Zero-touch computing for extreme edge locations
By
Michael Lamp
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April 26, 2022
Technical article
Avnet partners with HPE and Iceotope as authorized manufacturer of super-efficient Micro Data Centre liquid cooling solution for deploying and supporting real-time applications in extreme edge locations.
AI Inference at the Edge: A lesson from Marie Curie
By
Michael Lamp
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October 12, 2020
Technical article
In 1914, Marie Curie’s work on radium stopped in its tracks as the reality of World War I approached. Undaunted, Curie sent her entire stock of radium to a local bank by train and embarked on a new project – using her knowledge of radiology to save soldie...
Regulatory insights: Are your computer, audiovisual and information technology products ready for the transition to 62368-1?
By
Michael Lamp
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May 6, 2020
Technical article
Regulatory certification can be confusing because of constantly changing standards, the complexity of the process and the amount of time needed to properly complete it.
How AI-powered virtual assistants can transform healthcare
By
Michael Lamp
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February 26, 2019
We have witnessed a paradigm shift in the way patients are being treated by the doctors with the help of AI and machine learning.
The rise of machine intelligence in the AI era
By
Michael Lamp
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February 26, 2019
Technical article
Whether you know it or not, this technology has a lot of potential to deal with business-specific challenges and the benefits of deep learning outnumber its drawbacks.
5 of the best artificial intelligence use cases
By
Michael Lamp
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January 3, 2019
Technical article
AI’s upgraded algorithms make predictive analytics, parse data, and help businesses make smarter decisions from the boardroom to the factory floor.
AI From A-Z: The biggest buzzwords around artificial intelligence
By
Michael Lamp
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November 28, 2018
Technical article
Companies across markets from consumer electronics to factory floors are finding power in the introduction of two letters: AI (artificial intelligence).
For Industry 4.0, Reliability Builds on Robust Connections
By
Michael Lamp
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June 11, 2017
Technical article
Looking to relieve increasing product complexity and cost pressures, manufacturers are moving toward the next phase of industrial automation envisioned in Industry 4.0. In this concept, smart factories respond instantly to changing workloads to more