Category: Amazon OpenSearch Service

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 […]

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 […]

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 […]

Healthcare organizations face a transformative moment where data modernization redefines patient care delivery. The healthcare industry’s adoption of AI marks a fundamental change in diagnosis, treatment planning, and patient outcomes. This evolution creates a future of precision medicine and personalized care accessible to everyone. According to Deloitte’s “2025 Global Health Care Executive Outlook”, 92 percent […]

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 […]

The automotive and manufacturing industries are undergoing another digital transformation, this time powered by artificial intelligence. From engineering workbenches to smart factories, Generative AI (Gen AI) is transforming how vehicles are designed, manufactured, and maintained. However, implementing production-grade AI applications requires more than just selecting the right models – it demands robust architecture, enterprise-grade security, […]

Revenue assurance (RA) is critical in the telecom industry, traditionally monitoring financial transactions such as CDR validation, billing verification, and settlement reconciliation to make sure of accurate revenue streams. Despite these practices, telecom operators face significant operational inefficiencies, with traditional RA processes limited to sampling small portions of transactions and achieving partial recovery rates due […]

In today’s complex industrial environments, predictive maintenance remains a key challenge for Energy, Utilities, and Manufacturing sectors. Traditional anomaly detection methods are labor-intensive and time-consuming, often leaving critical equipment vulnerabilities unaddressed for hours or days—leading to significant unplanned downtime and financial impact. McKinsey estimates mid-size refineries lose $20–50 million annually due to reliability issues. Typical […]

The Commercial, Medical, and Government Affairs (CMG) team of Genentech, a member of the Roche Group, partners across the healthcare system to deliver better health outcomes and equitable access for patients. This team was looking to leverage rich unstructured data at scale, across various formats/modalities such as text, PDFs, PowerPoint slides, images, videos, and audio […]

In today’s fast-paced digital world, AUDI AG faces immense pressure to innovate rapidly. In 2023, the Audi Cloud Foundation Services (ACS) team, supported by Storm Reply, launched the first version of their generative AI chatbot solution. This solution was designed to reduce internal knowledge base retrieval time and improve employee productivity. For more details, see […]