AWS for Industries
Category: Amazon QuickSight
Geo-based real time marketing for Financial Services on AWS
Financial Services Institutions (FSIs) are looking for opportunities to exploit interoperability across a collaborative ecosystem to boost transactions through their channels, partners’ channels, and payment methods. From this post: “Forrester asserts that aggregators and intermediaries that create value across industries will become important agents in a diverse collaborative ecosystem. However, not all organizations have the […]
Power Trading Corporation of India uses Amazon Forecast for day-ahead and intraday electricity demand forecasting
Introduction The purpose of this blog is to demonstrate one method of how effortlessly you can automate the data extraction, transformation, and building of an accurate power-demand forecasting pipeline using Amazon Web Services (AWS) services, such as Amazon Forecast, a time-series forecasting service based on machine learning (ML). This blog describes how Power Trading Corporation […]
Airline Resiliency and Recovery during Operational Disruptions with AWS
Introduction We often take for granted how easy it is to fly across the country or world on any given day. Yet, airlines face challenges, like unplanned weather events, wild fires, geopolitical events, logistical problems, and other external factors that impact their regular operations, more often than you’d expect. Such events lead to irregular operations, […]
BMW Group uses AWS ML solutions to drive personalized customer experiences
To personalize the customer experience, BMW Group uses data to power artificial intelligence (AI) and machine learning (ML) solutions from Amazon Web Services (AWS). All workflows must comply with stringent data privacy laws that vary among the 140 countries where BMW operates. BMW Group’s solution After obtaining permission from vehicle owners, BMW Group ingests data […]
Retail demand forecasting using AWS
Retailers use demand forecasting to anticipate customer needs and optimize supply decisions. Like most industries, demand forecasting in retail industry uses large amounts of historical data to predict future consumer demand. These forecasts depend upon analyses of variables that impact demand, such as seasonality, promotions, inventory levels, and market trends. Prediction accuracy is influenced by […]
How Retailers Can Reduce Inventory Shrinkage With Automated Asset Tracking With Calamp and AWS
The importance of asset tracking Every day, Amazon.com receives millions of shipments from suppliers. A purchase order from Amazon to a supplier typically includes a large quantity of shipping containers, or assets, that will be delivered to various Amazon warehouses at different times. To determine if items are lost or misplaced in the large, complicated […]
Fleet management solutions for connected farms
Overview The agricultural industry faces a significant challenge supplying a growing population with the healthiest and most ethical foods possible. The world’s population is expected to reach close to 10B people by 2050 and the arable land utilized to feed this population is on the decline. The farming industry has been functioning near peak efficiency […]
How Grocery Retailers Grow With Hybrid Architecture Best Practices
Grocery retailers typically operate high-volume, low-margin business models. All the retailer’s resources need to be deployed in a way to maximize productivity and minimize cost. This isn’t a simple ask because the majority of applications in the industry have grown organically over a long period of time. In the UK, the top five grocers—with the […]
AWS delivers on the promise of Industry 4.0 at The Smart Factory @ Wichita
Deloitte’s Smart Factory Accelerator built on AWS contextualizes the factory of the future through immersive, sustainable experiential lab at Wichita State University’s Innovation Campus Making “factory of the future” a reality For years, the promise of the “factory of the future” was a distant dream; automated design, production, and delivery logistics all managed via a […]
Making Site Selection Decisions Easy With AWS Data Exchange for Amazon Redshift
Many quick service restaurants (QSRs) and dining brands rely on third-party point-of-interest data to understand if they’re making the right market expansion moves. For example, a QSR looking to place its first location in New York City may want to know the clustering of bars and nightlife venues in Manhattan to set hours of operation […]