AWS for Industries
Category: Analytics
AWS Professional Services and BMW collaborate to optimize petabyte-scale storage costs for automated driving data
As automated driving platforms evolve, they continue to generate unprecedented volumes of data from various sensors, simulations, and testing environments. A single automated driving test vehicle can produce tens of terabytes of data daily, which means that organizations managing entire fleets require petabyte-scale storage. The rapid growth in data, combined with the need to retain […]
How BMW Group Enhances Cloud Optimization With Generative AI on AWS
The BMW Group, headquartered in Munich, Germany, employs 159,000 people across more than 30 production and assembly facilities in 15 countries. As an automotive innovation leader, BMW Group has been at the forefront of integrating Generative AI (GenAI) technology. Its GenAI applications already streamline daily processes and boost the productivity of thousands of employees. The […]
Optimizing telecom supply chain operations on AWS with Amazon Multi Channel Fulfillment
Telecom and communication service providers (CSPs) across the globe face challenges in meeting customer expectations for product availability and fast delivery. These difficulties primarily arise from two issues: inconsistent inventory, and the pressure to reliably deliver products with the same day delivery option. As consumers increasingly expect immediate access to products, any delay or unavailability […]
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 […]
Integral Ad Science scales over 100 M documents with Amazon OpenSearch Service
With explosive growth in content volume across social media platforms and the imperative for real-time machine learning (ML) model training, Integral Ad Science (IAS) required a solution. It needed to be capable of facilitating ongoing content classifier development, mitigating manual annotation delays, and maximizing processing throughput during peak demands. IAS stands as a global leader […]









