Category: Industries

Blog is guest authored by Maxim Mass, Rosi Bajari, and Bryan Lajoie from Element Biosciences. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Last year, Element Biosciences launched the AVITI benchtop sequencing instrument to […]

Blog is guest authored by Harry Clifford from NVIDIA. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. As the cost of sequencing a human genome continues to decrease, the volume of sequencing data is […]

As healthcare and life sciences customers work to advance clinical research, and realize personalized healthcare and precision medicine for patients, they face varying compliance, regulatory, and security requirements as well as disparate data that is siloed across multiple applications and organizations. These customers increasingly need to unlock access to quality data and leverage privacy-enhanced multi-party […]

Who is Exberry  Exberry offers a cloud-native matching engine platform that enables traditional and alternative exchanges to launch ultra-low latency markets quickly and run them cost-effectively. We launched Exberry to meet the rising demand from exchange operators for a flexible, high-performance matching engine platform that could support multiple asset classes and trading strategies and was […]

Vodafone Group Plc [VOD] is a global communications company offering a combination of mobile, fixed, TV, Internet-of-Things (IoT), and cloud & security services to consumers and enterprises. With network presence in many countries worldwide, Vodafone serves more than 330M mobile subscribers and over 28M fixed broadband users in Europe. Like many other Telcos, Vodafone has […]

This blog focuses on a potential method to use Long Short Term Memory (LSTM) machine learning models to help customers predict parts that are likely to become defects or recalls. Specifically, we show how predictions generated from an LSTM may provide customers with early indicators that generally out-perform existing manual processes and can help assist […]

Blog is guest authored by Professor Ken Butcher, Medical Director of the New South Wales Telestroke Service and Andres Diaz-Pinto, Senior Deep Learning engineer at NVIDIA Annotating medical images accurately and at scale is a key prerequisite for training Artificial Intelligence (AI) models, which are later used for diagnostic support in a clinical production environment. […]

There is customer data across more sources today than ever—from email, websites, and mobile apps, to physical stores, social media platforms, and more. Such data, which a company directly collects from its customers, is referred to as first-party data or signal (1P signal). Creating actionable insights, and next-best actions for specific users or segments, from […]

Introduction Machine learning (ML) has become a core technology in manufacturing, but it can be difficult to know which ML services and tools are best for your industrial operations. We will define and explain the use cases of when to use different Amazon Web Services (AWS) ML services. In an age of rapid innovation, manufacturing […]

In September 2022, Texas A&M University became the first higher education institution to launch Just Walk Out technology at its sports venue, Kyle Field. Three “March In, March Out” stores were installed, offering fans products like snacks, chips, soda, water, and alcoholic beverages. The stadium is one of the 10 highest capacity stadiums in the […]