Technology

By focusing on integration and extensibility, CNOE empowers organizations to build their own, customized internal developer platforms (IDPs) using readily available open-source tools.

Across industry verticals, enterprises are increasingly adopting cloud-native architectures. This shift offers benefits like agility, scalability, and cost-effectiveness compared to traditional on-premises infrastructure. However, a key challenge arises when building…

Be inspired at Tech Conference 2024! Join us this Tuesday, June 25th, for the 3rd annual Tech Conference by Amdocs. This exclusive internal event will be held in India and…

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…

The way we pay is constantly evolving, and 2024 promises to be another year of exciting advancements in the payments landscape. Here’s a look at some key trends that will…

The Generative AI (GenAI) landscape is rapidly evolving, and the cloud-native GenAI stack is the foundation for building, deploying, and scaling these powerful AI models. This blog dives into the…

Overcoming latency in 5G platforms is crucial for unlocking its full potential in real-time applications like autonomous vehicles, remote surgery, and AR/VR experiences. While 5G promises significant latency reduction compared to previous generations, several technical challenges remain. This blog discusses some ways to tackle these challenges. 

CNCF published its guidance on cloud native artificial intelligence (CNAI). The white paper discusses what CNAI is and the opportunities it presents. It also details challenges associated with CNAI. 

The rise of Generative AI models is fueling a surge in building multi-tenant chatbots. These chatbots can be customized for each client (tenant) with their specific needs and data, while still running efficiently on familiar, cost-effective infrastructure.

mazon Q Builder, as part of Amazon’s suite of generative AI tools, offers a wide range of applications within the financial services sector. This tool is designed to streamline and enhance various aspects of application development, deployment, and operation within the AWS ecosystem, making it particularly relevant for financial institutions looking to modernize their IT infrastructure, develop new applications, or migrate existing systems to the cloud. What are the key technical usecases that Q can enable in banking?