Interview With Shakeel Peera, Vice President FPGA Business Unit – Marketing, Strategy, Customer Applications at Microchip Technology Inc.

In this podcast, we speak to Shakeel Peera, vice president of the FPGA business unit – marketing, strategy, customer applications at Microchip, about how they are applying intelligence at the edge at Microchip and the numerous Edge AI applications that use Microchip products and solutions.

Running Artificial Intelligence (AI) models on the edge involves processing data locally within embedded systems, reducing latency and enhancing privacy by minimizing data transmission to the cloud. This approach enables real-time decision making, without requiring Internet connectivity, making it a great solution for applications that require immediate responses and high reliability.

From embedded vision, to human machine interface, to sensor analytics, Microchip supports a wide range of machine learning interface applications.

Find out more about Edge Intelligence at Microchip here: https://www.microchip.com/en-us/solutions/technologies/machine-learning

Time Stamps

[01:30] – Applying Intelligence at the Edge

[03:20] – Edge AI applications that use Microchip

[07:10] – Is it all about AI and processing?

[11:45] – Data Center Solutions at Microchip

[12:40] – Total Systems Solutions

[15:35] – Key takeaways: Microchip Solutions for Edge Intelligence

Follow Shakeel

Shakeel Peera on LinkedIn: https://www.linkedin.com/in/shakeel-peera-486a917/

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Beyond the Microchip

So much of our daily lives are controlled or influenced by electronics. We rely on GPS to direct us, we hit "brew" on our coffee machines for our mornin' cup of Joe, we wave our hands over a sensor to get running water from a faucet, and press a button to open our garage doors.

But do we really know what's going on inside? Are we aware of the universe of technology and calculations going on right under our nose?

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