AWS for Industries
Category: AWS Lambda
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 […]
Building In-Vehicle AI Assistants with Strands Agents
In today’s rapidly evolving automotive landscape, vehicle occupants expect to interact with their vehicle using natural spoken language. An AI based multi-agent assistant architecture, leveraging Strands Agents SDK, a simple-to-use, code-first framework for building agents, can help more seamlessly handle various commands triggered by occupant interactions. Drivers demand intelligent, responsive, and personalized experiences that make […]
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 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 […]
Unlock real-time advertising insights with Amazon Marketing Stream and AWS
Real-time campaign performance visibility empowers Amazon Ads advertisers to seize optimization opportunities the moment they emerge. Amazon Marketing Stream integrated with Amazon Web Services (AWS) unlocks powerful business capabilities that transform advertising investments into precision-driven growth engines. We will present options for how Amazon Ads advertisers can deploy infrastructure to support Amazon Marketing Stream on […]
GeBBs Healthcare revolutionizes medical coding workflows with Amazon Bedrock
Medical coding workflows in healthcare have become increasingly complex and resource-intensive, requiring specialized expertise to translate clinical documentation into standardized billable codes. For healthcare providers, revenue cycle management companies, and payers, extracting accurate coding information from vast amounts of clinical data, while maintaining compliance, is a daily operational challenge. Recognizing this critical need, GeBBs Healthcare […]
Unlocking the value of unstructured data with Amazon Bedrock Data Automation
Organizations across various industries are struggling with the exponential growth of unstructured data—images, text documents, PDFs, audio and video files, and specialized formats such as genomic sequences. Unlike structured data with clear organization, unstructured data typically lacks standardized organization, making it challenging to discover, access, and derive insights from these valuable assets. At Amazon Web […]
Reducing Mean Time to Repair (MTTR) with Amazon Q Business
Unplanned downtime can cost consumer-goods manufacturers millions each year. Production-line disruptions often create ripple effects throughout supply chains, reducing inventory and negatively affecting the customer experience. While advancements in monitoring and predictive maintenance solutions have helped manufacturers reduce downtime, they still need to act quickly when an unplanned disruption occurs. Manufacturers also need solutions to […]









