AWS for Industries
Category: Technical How-to
Future-proof Your AI at the Edge with AWS
In the rapidly evolving field of IoT in manufacturing and transportation domains, machine learning features create significant value. By utilizing machine learning at the edge, manufacturers can gather insights faster, identify trends, identify patterns, and detect anomalies, all resulting in enhanced security and safety and cost savings. Amazon SageMaker is a fully managed service that […]
Interact Conversationally with AWS HealthLake
Large language models (LLMs) are revolutionizing the way we interact with technology, and AWS HealthLake is no exception. HealthLake is a secure, HIPAA-eligible data lake that allows healthcare organizations to store, transform, and analyze their health data at scale. By combining HealthLake with an LLM, healthcare providers can interact conversationally with their data, gaining insights and making decisions […]
Daikin uses AWS to build remote monitoring and predictive maintenance system
About Daikin Daikin is a leading innovator and worldwide provider of advanced, high-quality air conditioning, heating, and refrigeration solutions for residential, commercial and industrial applications. They are committed to elevating the quality of air in homes, businesses, and public spaces with a complete line of energy-efficient and intelligent products. As a global leader in HVAC&R applications, they […]
Introducing Amazon FinSpace with Managed kdb Insights, a fully managed analytics engine, commonly used by capital markets customers for analysis of real-time and historical time series data
Today, AWS is announcing Amazon FinSpace with Managed kdb Insights, a new capability that makes it simple to configure, run, and manage kdb Insights on AWS. KX Systems’ kdb Insights, a high-performance analytics engine, is optimized for analyzing real-time and multi-petabyte historical time series data. Kdb Insights is widely used in capital markets to power […]
Tehama leverages Graviton cost efficiency to strengthen business core competency
Introduction AWS designed Graviton processors aiming to deliver the best price-performance for cloud computing. Since it launched in 2018, many customers of different sizes (start-ups to enterprises) have adopted Graviton for various workloads. Tehama, the world’s first Carrier for Work, has embraced the cost savings and environmental benefits associated with AWS Graviton for their all-in-one […]
Improving manufacturing field-distribution planning with a supply chain data lake
The Challenge Manufacturers that distribute products and manage inventory at many geographically dispersed sites struggle to predict replenishment timing and quantity accurately. For example, chemical manufacturers bound to vendor-managed inventory agreements make truck rolls to thousands of remote tank sites either when the tank is already empty (too late) or when the tank level is […]
Sustainability Reporting Considerations for the Semiconductor Industry
Introduction The Semiconductor Industry is working to establish Environmental, Social, and Corporate Governance (ESG) standards with the help of science-based targets. As a result, there is an increasing demand to collect and understand operational and product related data for accounting, reporting and optimization. Businesses are now looking to assume responsibility for their products across their […]
Economics of EDA on AWS: License Cost Optimization
Introduction Electronic Design Automation (EDA) workloads have traditionally run on-premises on a combination of latest and older generation compute servers. The performance penalty of running Electronic Design Automation (EDA) on older generation hardware is often neglected in discussions and Total Cost of Ownership (TCO) models. With EDA license costs greatly exceeding IT spend in silicon […]
Cloud-Native NFV Orchestration on AWS
With mobile traffic increasing almost 10% quarter-by-quarter (Ericsson Mobility Report) and technology evolving at a fast pace, communication service providers (CSPs) are under pressure from multiple dimensions. Some of the challenges are as follows: Cost Savings (TCO) and productivity: The increase in traffic corresponds to higher bandwidth and processing capacity requirements. With the proliferation of […]
Predict the cost of Electronic Design Automation on AWS using simulation
Introduction Designing semiconductor requires High Performance Computing (HPC) to run Electronic Design Automation (EDA) tools. These workloads vary over time in both the amount and type of compute resources required. This makes it an ideal workload for the elasticity of the cloud. Customers choose optimal instance types to optimize each tools runtime. This reduces time-to-results […]