AWS for Industries
Category: Artificial Intelligence
AWS Entity Resolution for Health Data
Introduction This post shows how AWS Entity Resolution can tackle the challenge of linking and matching records in healthcare and provides a walkthrough of how-to setup a patient 360 view with a continuous entity resolution workflow. It also explains how AWS HealthLake can help healthcare customers securely store, transform, and manage their data. By the end […]
Improving staff productivity at Enel using Amazon Bedrock
Enel is a leading integrated electric utility with a presence across 32 countries and an 82-GW generation capacity. The company also assumes a pivotal role as a major electric grid operator, supplying a vast network of 76 million customers and managing 46.5 million smart meters. Since 2014, Enel has been investing heavily in artificial intelligence […]
Coca-Cola Andina Boosts Operational Visibility with Thanos on AWS
When beverage bottling company Coca-Cola Andina wanted to unlock better insights from its data to improve productivity, efficiency, and customer satisfaction, it realized that the cloud held the key to these benefits. So, the company migrated its entire on-premises data store to a newly created data lake on Amazon Web Services (AWS). Then, Coca-Cola Andina […]
AWS for Healthcare at HIMSS24 Event
Better data. Better insights. Better outcomes. The AWS for Healthcare team is heading to Orlando for the upcoming HIMSS Global Health Conference & Exhibition, March 11-15. In alignment with the event theme, “creating tomorrow’s health,” the AWS for Healthcare team will showcase our commitment to helping healthcare organizations generate better insights and better outcomes by […]
Take in-store and online shopping experiences to another level using generative AI
In today’s retail, consumers have both the infinite shelf of online shopping and the sensory experience of in-store shopping. As such, there is a natural flow that consumers can follow from one to the other creating an endless wardrobe of possibilities. That flow typically starts online and continues in-store. However, when those consumers visit a […]
A light in the dark—illuminating dark data with the OSDU Data Platform
With the advent of digitalization initiatives and cloud storage, there may be a tendency to forget the “other side”— cases in which specific data or assets still have no digital equivalents. For oil and gas operations in particular, access to physical assets such as paper documents, tapes, or even core samples, is important for gaining […]
Accelerate Semiconductor machine learning initiatives with Amazon Bedrock
The semiconductor industry, known for its intricate manufacturing processes, generates a vast amount of sensor data crucial for analytics and machine learning. However, due to legacy systems and complex data infrastructure, collecting this data in real-time and at scale can be a challenging task. This blog post explains some challenges faced by the semiconductor industry […]
How Audi improved their chat experience with Generative AI on Amazon SageMaker
Audi AG is a German automotive manufacturer and part of the Volkswagen Group. It has production facilities in several countries including Germany, Hungary, Belgium, Mexico and India. With a strong focus on quality, design and engineering excellence, Audi has established itself as a leading brand in the global luxury car industry that designs, engineers, produces, […]
Train responsible gaming inference models for sports betting with Amazon SageMaker
The global sports betting market is growing rapidly, forecast to grow from USD $68.3B in 2022 to USD $117B by 2027, a compound annual growth rate of 14.3%. Sports betting operators provide an exciting form of entertainment for their patrons, combining knowledge of the game and associated statistics, with the possibility of winning big. Although […]
Solving Business Challenges in Online Betting & Gaming Using No Code AI & ML
In the world of online betting & gaming companies often have vast quantities of data at their disposal, but can face challenges in harnessing that data with Artificial Intelligence and Machine Learning (AI & ML) to deliver business value. Small to midsize companies may find it especially difficult to utilize this data as they often […]