GenAI

The evolution of Radio Access Networks (RAN) towards AI-native architectures represents a fundamental shift in telecommunications infrastructure. This blog explores the eight key architectural principles that define AI-Native RAN, examining…

The advancement of artificial intelligence and machine learning has made it necessary to significantly transform data center architecture. Traditional data centers, which were mainly designed for data storage and retrieval,…

The rising number of connected devices and data demands are putting a significant strain on network infrastructure. AI-native networks, especially those using agentic AI, are addressing these challenges by implementing…

As telco networks become increasingly complex and automated, the industry faces a critical inflection point in artificial intelligence adoption. While AI promises to revolutionize network operations, customer service, and infrastructure…

This post delves into the key technical innovations, challenges, and emerging trends, providing a deeper understanding for a technical audience.

Listen to the podcast on this blog In past blogs, we discussed data science, artificial intelligence, and how they affect business and technology. We covered the changes in data platforms,…

Large Language Models (LLMs) like GPT have transformed how we interact with and leverage AI. While these models have shown impressive capabilities across various tasks, the need for industry-specific LLMs…

 This blog explores the lifecycle of LLMs, from development to deployment, with real-world examples from industry leaders.

Join my team at AWS for an enlightening event that explores the intersection of GenAI development and inclusivity. Experience real-life demos of GenAI applications created by diverse builders. Engage in…

In 2024, we can expect to see more changes to the way products are developed & delivered to consumers, with new roles and skills required to succeed in this evolving landscape.