Category: Analytics

Healthcare organizations are looking to implement an approach for re-engineering existing architectures to iteratively adopt new technologies, and establish seamless integrations with existing systems internally as well as with their partner and client ecosystems. Emids CoreLAKE is a low-code data management platform built by practitioners with years of experience in healthcare. It’s a suite of accelerators with pre-built capabilities having specific focus on accelerating the data modernization agenda.

Managing existing brownfield buildings is a challenging task because teams usually lack accurate ground truth data. Object detection algorithms are a key technology to automate and scale the creation of a digital building twin, providing a solution to this challenge. For detecting objects in indoor environments with machine learning, learn how NavVis and AWS collaborated to build a digital building twin for a large industry customer.

With the advent of high-speed 5G networks, enterprises have sought to deliver low-latency experiences across industrial Internet of Things IoT (IIoT), media and entertainment, automotive, and beyond. At the core of these low latency experiences is data. This post builds on an earlier demonstration of MongoDB Realm on AWS Wavelength by amplifying the existing architecture with new features, and shows how to use the AWS Load Balancer Controller to deploy an Application Load Balancer in front of the database.

Ensuring the security and proper management of sensitive information is paramount, and Collibra Protect and AWS Lake Formation offer a powerful combination to address the growing challenges of enterprise data access governance. Learn how Collibra Protect, part of the Collibra Data Intelligence Cloud, protects sensitive data and makes it available to specified groups of users. AWS Lake Formation is a fully managed serverless service that allows you to build clean and secure data lakes in days.

Designing industry blueprints is driven by the need to address various challenges in package development for industry solutions. AWS Industry Blueprints for Data & AI (Preview) is an open-source initiative from that offers a collection of building components, including code modules and solution accelerators, to facilitate the configuration and deployment of tailored components for various industry verticals’ turn-data-to-insights needs.

With Amazon Redshift Serverless, users can run and scale analytics workloads seamlessly, paying only for the compute and storage resources they consume. Businesses often have a need to use change data capture (CDC) to quickly and easily load incremental data to data warehouses. Learn how to load data easily into Amazon Redshift Serverless using Matillion Data Loader, and see an example of CDC loading from PostgreSQL to Amazon Redshift Serverless as the destination.

Over the years, Ganit has successfully deployed business intelligence systems on AWS with a data lake and data warehouse at the core. This system has helped many of Ganit’s clients reduce more than 25 million hours in the creation of reports and spend more time driving action to improve top- and bottom-line numbers. Learn how one of Ganit’s clients in the financial control division of an Indian subsidiary of a large apparel manufacturer was tasked to optimize expenses across divisions and ensure functions operate efficiently.

Tenable One Exposure Management Platform gives organizations a comprehensive view of their attack surface and vulnerabilities to prevent likely attacks and accurately communicate cyber risk. Learn how the Tenable data engineering team uses AWS to ingest data from multiple sources and transform it into a single standard structure. By standardizing into a single data structure, Tenable can focus on giving customers the business insights and actionable intelligence they need from an exposure management platform.

Virtual care is fast emerging as an important tool in driving this shift and delivering on the desired outcomes. Learn how the HARMAN Intelligent Healthcare Platform leverages AI/ML, cloud services, and data to unlock value for clients and seamlessly transform data, analytics, intelligence, and governance functions in a secure, cost effective, and privacy-preserving process. It offers improved customer experience and engagement through predictive analytics and actionable insights on data harnessed from disparate sources.

The Internet of Things (IoT) is a fast-growing and innovative area that enables AWS customers to support a wide variety of use cases. IoT customers can also stream sensor data into a data lake where insights can be gathered by leveraging AWS machine learning services. Learn how Noser Engineering helped a customer build a general digital twin platform that is capable of adapting to rapid changes in the twined building through the integration of many different sensor types.