AWS for Industries
Category: Amazon Machine Learning
Broadcom reduces workbench testing time and cost with AWS Lambda and AWS Glue
Introduction Workbench testing is a key step in the manufacturing of semiconductor chips. Testing consists of sending electrical signals to semiconductor devices and comparing output signals to expected values. It is essential to ensure that the produced devices work according to specifications. Workbench testing is also time consuming and costly, so we do not want […]
Airports Want to Innovate Faster
I’m fortunate to regularly speak with airport industry leaders. From my conversations with CEOs, as well as commercial, operations, and technology leaders, I’ve noticed a common theme. They are optimistic that the travel industry will continue recovering, and their priority is to improve revenues and the passenger experience. This isn’t surprising given how the industry […]
Automate prior authorization form filling using Amazon HealthLake
In this blog post, we discuss how to leverage Amazon HealthLake, Amazon Textract, Amazon Comprehend Medical, Amazon Athena, and Amazon QuickSight to further innovate and simplify healthcare prior authorization form completion. In our previous blog post, we discussed prior authorizations and how the often manual process can lead to delays or denials for care. These […]
Derive AI/ML-driven insights from healthcare data using Amazon HealthLake
Last year, we announced Amazon HealthLake, a new HIPAA-eligible service for healthcare providers, health insurance companies, and pharmaceutical companies to securely store, transform, query, analyze, and share health data in the cloud, at petabyte scale. We launched HealthLake to address one of the key challenges that the health industry – from healthcare payers to life […]
Automating Wind Farm Maintenance Using Drones and AI
Introduction Turbine maintenance is an expensive, high-risk task. According to a recent analysis from the news website, wind farm owners are expected to spend more than $40 billion on operations and maintenance over a decade. Another recent study finds by using drone-based inspection instead of traditional rope-based inspection, you can reduce the operational costs by 70% […]
AI-Driven Visual Inspection of Wind Turbines Based on Drone Imaging
Introduction Keeping wind turbines operational also means keeping them well maintained. One of the steps in maintenance is regular visual inspection. Wind farm operation and maintenance companies started to utilize drones with attached cameras to perform visual inspections. According to a recent study, drone-based inspection reduces costs by up to 70% and decreases revenue lost […]
How to Run What-if Scenarios for Trading Strategies with Amazon FinSpace
Introduction In an earlier blog post, we described an architecture for backtesting machine learning-based trading strategies on AWS. One of the key components in this architecture is the data management and analytics component. Depending on the specific use case, there are various options to implement this. Many companies adopt solutions based on data lakes and […]
Seven Smart Store Strategies to Streamline Retail Operations
As the retail industry tackles dramatic shifts in shopper behavior, broad changes in product assortments, and huge growth in digital orders, innovative merchants are responding to these market shifts with laser-focused, technology-driven customer experience initiatives. We wholeheartedly applaud these efforts. But it’s not enough. Retailers must also focus on back-office store operations to increase automation, […]
Five Ways Retailers Can Transform Customer Experience with Smart Store Technologies
Whether you’re buying online or in a physical store, shopping should be easy, simple, and enjoyable. In the customer’s mind, the retailer or brand is one entity, regardless of the sales channel. For this reason, customers expect their journey to fluidly shift between digital and physical touchpoints with the same conveniences in store as online. […]
21st Century Forecasting for the Travel and Hospitality Industry
Last year was unprecedented for the travel and hospitality industry and for travelers and guests, providers and suppliers, employees and stakeholders alike. As a result of the disruption, companies that relied on moving average forecasting or looked to the same period last year have found themselves at the helm of a rudderless ship. Without accurate […]