Vikram Elango

AI is transforming FinOps practices in complex multi-account cloud environments. This chalk talk explores building intelligent agents that tackle fragmented cost data and optimization processes.

Financial institutions seek to build specialized AI agents for tasks ranging from fraud detection to algorithmic trading, while maintaining regulatory compliance. In this chalk talk, we'll collaboratively design agent architectures using AWS’s AI capabilities and Amazon Bedrock.

Learn how Fidelity Institutional (FI) developed and implemented a sophisticated Text-to-SQL generative AI solution that enables non-technical domain experts to interact with complex structured data using natural language.

Financial institutions are using large language models (LLMs) to improve employee productivity and transform the customer experience. But LLMs are not always the right choice for every application.

Hosting foundation models (FMs) can be challenging. Larger models are often more accurate because they include billions of parameters, but their size can also result in slower inference latency or worse throughput.

In this workshop, explore the hardware and software optimizations available for deep learning model deployment, when and how to use them, and the impact on the model performance and cost. Learn how to run hundreds of deep learning models using Amazon SageMaker multi-model endpoints and reduce model serving costs.