Category: Application Services

Federated Learning (FL) is an emerging approach to machine learning (ML) where model training data is not stored in a central location. During ML training, we typically need to access the entire training dataset on a single machine. For purposes of performance scaling, we divide the training data between multiple CPUs, multiple GPUs, or a […]

The IoT (Internet of Things) has accelerated digital transformation for many industries. Companies can now offer smarter home devices, remote patient monitoring, connected and autonomous vehicles, smart consumer devices, and many more products. The enormous volume of data emitted from IoT devices can be used to improve performance, efficiency, and develop new service and business […]

Amenity Analytics develops enterprise natural language processing (NLP) platforms for the finance, insurance, and media industries that extract critical insights from mountains of documents. We provide a scalable way for businesses to get a human-level understanding of information from text. In this blog post, we will show how Amenity Analytics improved the continuous integration (CI) […]

Parametric Portfolio Associates (Parametric), a wholly owned subsidiary of Morgan Stanley, is a registered investment adviser. Parametric provides investment advisory services to individual and institutional investors around the world. Parametric manages over 100,000 client portfolios with assets under management exceeding $400B (as of 9/30/21). As a registered investment adviser, Parametric is subject to numerous regulatory […]

Many large enterprises, startups, and public sector entities maintain different deployment environments within multiple Amazon Web Services (AWS) accounts to securely develop, test, and deploy their applications. Maintaining separate AWS accounts for different deployment stages is a standard practice for organizations. It helps developers limit the blast radius in case of failure when deploying updates […]

Many businesses have an essential need for structured data stored in their own database for business operations and offerings. For example, a company that produces electronics may want to store a structured dataset of parts. This requires the following properties: color, weight, connector type, and more. This data may already be available from external sources. […]

Like other industries, translation and localization companies face the challenge of providing fast delivery at a low cost. To address this challenge, organizations use Machine Translation (MT) to complement their translator teams. MT is the use of automated software that translates text without the need of human involvement. One of the most recent advancements is […]

Most large events have common activities such as event registration, check-in upon arrival, and requesting of amenities. When designing applications, factors such as high availability, low latency, reliability, and security must be considered. In this blog post, we’d like to show how Amazon Web Services (AWS) can assist you in event planning activities. We’ll share […]

This post was co-written with Mamoon Chowdry, Solutions Architect, previously at AWS. Businesses and organizations from many industries often struggle to ensure that their data is accurate. Data often has to match people or things exactly in the real world, such as a customer name, an address, or a company. Matching our data is important […]

The marketing industry collects and uses data from various stages of the customer journey. When they analyze this data, they establish metrics and develop actionable insights that are then used to invest in customers and generate revenue. If you’re a data scientist or developer in the marketing industry, you likely often use containers for services […]