AWS for Industries
Author: Subhash Talluri
Subhash Talluri is a Lead AI/ML solutions architect of the Telecom Industry business unit at AWS. He’s been leading development of innovative AI/ML solutions for Telecom customers and partners worldwide. He brings interdisciplinary expertise in engineering and computer science to help build scalable, secure, and compliant AI/ML solutions through cloud-optimized architectures on AWS.
On-device SLMs with agentic orchestration for hyper-personalized customer experiences in telecom
Opportunities for telecoms with small language models (SLMs) explored how telecom operators can use SLMs deployed on Customer Premises Equipment (CPE) and Internet of Things (IoT) devices to enable autonomous environments and handle routine information requests. Subsequently, in Distributed inference with collaborative AI agents for telco-powered smart-X, we further explored the spectrum of distributed computing locations […]
Distributed inference with collaborative AI agents for Telco-powered Smart-X
Introduction Artificial Intelligence (AI) applications are evolving into distributed inference pipelines, where models run across multiple tiers, from device edge to AWS, to optimize latency, bandwidth, and privacy. Instead of sending all raw data to AWS, collaborative AI inference can occur at the device, far edge, near edge (often a 5G Multi-access Edge Computing site […]
Opportunities for telecoms with small language models: Insights from AWS and Meta
The telecommunications (telecom) industry is undergoing a transformative shift driven by advancements in artificial intelligence (AI) and machine learning (ML). Small Language Models (SLMs), which can run efficiently on Internet of Things (IoT) and edge devices, are at the forefront of this revolution. SLMs are scaled-down versions of large language models (LLMs) that deliver comparable […]