AWS for Industries
Category: Amazon SageMaker Lakehouse
Build Secure Data Mesh with AWS and Partner Solutions
Introduction Data mesh emerges as a transformative architectural paradigm that revolutionizes how organizations manage and share data across domains. By treating data as a product and decentralizing ownership to domain teams, data mesh enables scalable, secure, and efficient data sharing while preserving domain autonomy. This blog is intended for data architects and technical leaders who […]
How to Implement MLOps for Industry 4.0
As automotive manufacturers look to optimize efficiency while maintaining product quality, we increasingly see companies turning to solutions based in artificial intelligence (AI) for process automation and optimization. The ultimate objective of such endeavors is to replace current labor-intensive and error-prone activities that require skilled operators—such as quality control, asset maintenance, and process optimization, among […]
GenAI in Factor Modeling Data Pipelines: A Hedge Fund Workflow on AWS
Introduction Factor modeling in hedge funds is a quantitative approach that identifies and analyzes key drivers of asset returns. It lets fund managers to optimize portfolios, manage risk, and generate alpha by leveraging vast amounts of market data. This technique facilitates the development of sophisticated trading strategies, enhancing investment performance and providing a competitive edge […]
AWS re:Invent 2024 recap for the Automotive Industry
AWS re:Invent 2024 unveiled game-changing innovations powering the automotive future – autonomous driving breakthroughs, connected vehicle insights, generative AI assistants, sustainable supply chains, and legacy system modernization.



