Category: Amazon Simple Storage Service (S3)

Introduction Mastercard’s AI-powered real-time fraud prevention platform, Brighterion, has been delivering advanced fraud detection and risk management solutions to enterprise customers for over 20 years. Trusted by more than 2,000 clients worldwide, including 74 of the top 100 U.S. banks, Mastercard’s Brighterion AI platform scores over 150 billion transactions annually, helping organizations prevent fraud while […]

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 […]

The healthcare industry is increasingly migrating to the cloud to enhance service delivery, ensure compliance, and improve patient outcomes. However, managing cloud costs effectively is crucial to maximize the value of these investments. Healthcare applications often have unique requirements that make them challenging to refactor into serverless or containerized architectures. These applications may have dependencies […]

Introduction National Oil Companies and Country Regulators can use Virtual Data Rooms (VDRs) to create multiple dedicated spaces for each participant in licensing and bidding rounds, offering robust tools for visualization, interpretation, and collaboration. Enhancing these VDRs with generative AI technology can transform how information is handled and analyzed throughout the process. The incorporation of […]

Introduction Seismic processing is a high-performance computing workflow to enhance, image, and understand subsurface structure. Modern high density 3D seismic data acquisition methods need 10-100 times more compute power for processing and imaging as compared to previous generation seismic acquisition methods. In return, geologists get improved geological resolution details such as thin beds, subtle faults, […]

This post is co-written with Rebecca Nissan, Sr. Delivery Solutions Engineer, Healthcare and Life Sciences, Field Engineering, Databricks. In today’s healthcare data-centric landscape, organizations face challenges (such as disparate data silos) across their electronic health records (EHRs), medical imaging, and other on-premises data warehouses. Healthcare data is growing at such a rapid rate that one […]

This post describes how to gather, collect, and distribute data from your connected vehicles and connected assets, such as manufacturing machinery or utility meters, into the Salesforce Industry Cloud solutions using Amazon Web Services (AWS) services. With AWS Internet of Things (AWS IoT), there’s AWS IoT FleetWise, a managed service to efficiently collect vehicle data […]

Generative AI is already reshaping the Healthcare and Life Sciences (HCLS) industry. From AstraZeneca and Pfizer to 3M and the Allen Institute, innovators are using AI to accelerate drug discovery, boost scientist productivity, and streamline clinical workflows. As adoption grows, so does the need for models tailored to HCLS-specific challenges—from medical text summarization to DICOM […]

In the rapidly evolving world of Healthcare and Life Sciences, real-world data (RWD) has become a powerful catalyst for innovation. Sourced from electronic health records, insurance claims, registries, and even wearable devices, RWD offers a window into how therapies perform in everyday clinical settings. When analyzed effectively, it leads to real-world evidence (RWE)—the clinical insights […]

The rapid advancement of generative AI promises new strategies for innovation in the insurance industry, and insurance carriers should implement it in compliance with regulatory requirements. The National Association of Insurance Commissioners (NAIC) has adopted Principles on Artificial Intelligence and released a Model Bulletin on the use of artificial intelligence systems by insurers to provide […]