AWS for Industries
Category: Financial Services
Kotak Mahindra Bank Modernizes Microledgers Using Amazon DynamoDB for Predictable Low Latency at Scale
Overview Scaling of the Core Banking Systems (CBS) of the Indian Banks has been a point of concern due to the significant rise of the digital payments in India. This is primarily driven by Unified Payments Interface (UPI). UPI is a system that powers multiple bank accounts into a single mobile application (of any participating […]
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 […]
Agentic Payments: The Next Evolution in the Payments Value Chain
The payments industry stands at a transformative inflection point. Traditional payment systems built on rigid rules, manual processes, and legacy infrastructure find it difficult to navigate the evolving landscape of modern commerce. Today’s payment ecosystem demands solutions that handle increasing complexity while delivering the seamless, contactless, and autonomous experiences customers expect. Financial institutions have long […]
Agentic AI for Capital Markets: Building a Foundation for Success
This article was originally published in the Autumn 2025 edition of FinTech BoostUP Magazine. Agentic AI is an inflection point for Capital Markets firms AI-powered innovation and automation within capital markets has evolved rapidly. What began with assistants has progressed to agents, and now to fully autonomous, multi-agent systems. These systems mimic human logic and […]
Part 1: BBVA: Building a multi-region, multi-country global Data and ML Platform at scale
In an era where data drives financial innovation, BBVA, a global financial institution serving over 76 million customers across 25+ countries, partnered with AWS to revolutionize its data analytics capabilities. BBVA embarked on an ambitious three-year journey to transform its entire data analytics infrastructure. The Analytics, Data, AI (ADA) Global Data platform represents one of […]
Part 5: BBVA’s unified console: Key to successful global platform deployment
This is the fifth post of a six-part series detailing how BBVA migrated their Analytics, Data, AI (ADA) platform to AWS. In this post, we share how BBVA leveraged AWS services to build all the necessary operations capabilities to support a global data platform. We will also show how BBVA manages to combine building the […]
Part 3: How BBVA built a global analytics and machine learning platform on AWS
This is the third post of a six-part series detailing how BBVA migrated its Analytics, Data, AI (ADA) platform to AWS. We’re sharing how BBVA partnered with AWS to onboard over 6,500 advanced users (including data scientists and data engineers) to a new machine learning platform based on Amazon SageMaker AI. Read the entire series: Part […]
Part 4: Building a Multi-Layer Security Strategy for BBVA’s Global Data Platform on AWS
This is the fourth post of a six-part series detailing how BBVA migrated its Analytics, Data, AI (ADA) platform to AWS. In this post, we explore how BBVA developed and implemented a comprehensive multi-layer security strategy to protect petabyte-scale financial data while enabling secure access for over 6,500 advanced users across their global operations. We’ll […]
Part 2: How BBVA processes a global data lake using AWS Glue and Amazon EMR
This is the second post of a six-part series detailing how BBVA | The digital bank of the 21st century a global financial services group present in over 25 countries throughout the world, with over 125,000 employees, serving over 76 million customers. On 2023, BBVA after selecting AWS as the cloud vendor for Data has […]
Part 6: Effective sunset of the legacy data platform in BBVA: the migration methodology
This is the sixth and final post of a six-part series detailing how BBVA migrated its Analytics, Data, AI (ADA) platform to AWS. We’re sharing how BBVA successfully orchestrated the sunset of their legacy data platform while ensuring a smooth transition of approximately 500TB of data and over 250 analytical environments to AWS. Read the […]









