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 Microchip’s FPGA business unit, about Edge AI applications and how customers are using Microchip’s products and solutions to apply intelligence at the edge.
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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