AWS for Industries
Author: Srinivas Nidamarthi
Dr. Srinivas Nidamarthi is the global head of GTM products and technical business development lead for Physical AI, Robotics, and Software Defined Factories in AWS's Automotive and Manufacturing Industrial Business Unit. He leads product development focused on solving customers' manufacturing challenges. Previously, Srinivas served as CTO for ABB Robotic Systems, building advanced manufacturing automation solutions across diverse customers and geographies. He holds a PhD from Cambridge University, UK, and applies his research and domain expertise to innovate and address digital factory challenges.
Accelerating physical AI with AWS and NVIDIA: building production-ready applications with simulation and real-world learning
Defining physical AI beyond digital intelligence Physical AI represents a transformative evolution in artificial intelligence, extending beyond purely computational systems, to intelligent agents that perceive, reason, and interact directly with the physical world. Unlike traditional AI systems that process information in digital domains (such as chatbots or recommendation engines), physical AI embeds intelligence in systems […]
Industrial automation software management on AWS: End-to-end DevOps for factory automation coding to commissioning
The traditional approach to programming industrial automation systems, such as programmable logic controllers (PLCs) and robots, has been devoid of modern software development best practices. Meanwhile, as the industrial landscape evolves towards greater factory automation, the management of automation software becomes crucial. Implementing DevOps methodology on cloud platforms like Amazon Web Services (AWS) can significantly […]
Industrial Automation Software Management on AWS—Best Practices for Operational Excellence
Factory or intralogistics automation, which can include assembly stations, sortation stations, robots, and conveyors, are programmed and operated by their respective native controllers or programmable logic controllers (PLCs). These controllers execute programs to control physical equipment to accomplish a task—for example, painting a car with the specified color or sorting an item by its barcode […]