AI

Traditional telecom networks, built primarily for voice and data services, are increasingly inadequate for modern AI workloads. The rise of edge computing, real-time applications, and autonomous AI agents requires networks…

We continue our exposition on AI factories with a look at Google infrastructure. Google’s AI factory approach represents one of the most extensive implementations globally. Their search algorithm updates, powered…

Amazon’s AI infrastructure strategy stands out with its unique dual role: it serves as both a massive internal consumer of AI/ML technologies and the leading provider of cloud-based AI/ML services…

Large banks face a significant technical challenge: building AI and machine learning infrastructure that serves diverse business needs across the enterprise. From fraud detection systems using traditional ML models to…

In Part 4 of our series on the AI Factory – https://www.vamsitalkstech.com/ai/industry-spotlight-engineering-the-ai-factory-inside-ubers-ai-infrastructure-part-2/ , we explored one of the most sophisticated implementations of an AI factory in production: Netflix’s machine learning…

The landscape of financial trading is undergoing a profound transformation. As market complexity grows and data volumes explode, traditional trading architectures are giving way to more sophisticated solutions. A new…

In Part 3 of our series on the AI Factory – https://www.vamsitalkstech.com/ai/industry-spotlight-engineering-the-ai-factory-inside-ubers-ai-infrastructure-part-2/ , we explored one of the most sophisticated implementations of an AI factory in production: Uber’s machine learning…

A research report  conducted just prior to the passing of US tariffs ) from the Boston Consulting Group (BCG) points to a notable increase in IT budgets for 2025, with…

As organizations navigate the convergence of Edge AI, GenAI, and IoT, understanding proven architectural patterns becomes crucial for building robust, scalable solutions that deliver real business value. The integration of…