AWS for Industries
Category: Industries
Survey: Adoption, Barriers, and the Future of Generative AI in the Telco Industry
Half of surveyed telcos plan to integrate generative AI in the next two years and expect to increase spending by as much as six times. It’s no illusion: generative AI is everywhere. And here at AWS, we believe it’ll have a profound impact across all industries. Generative AI is the next wave of widespread adoption […]
A Cloud-Native Environment for Distributed Automotive Software Development
Car drivers have become users that expect new and updatable features and a digital user experience in addition to driving comfort and safety. OEMs are thus committed to lay the foundations for faster innovation through a concept called Software-Defined Vehicle (SDV). This blog post demonstrates an example of how ETAS and AWS collaborate on cloud-native […]
Five key takeaways on data clean room collaboration from Cannes Lions
Earlier this summer, Amazon Web Services (AWS) hosted a series of events and meetings with hundreds of customers and partners at Cannes Lions. Data clean rooms was a popular topic amongst these conversations, as advertisers and marketers are increasingly looking to future-proof their approach to more securely collaborating with their partners on their collective datasets. […]
Using Cloud Technology to Better Protect Power Grids from Physical Threats
When was the last time you thought about how the power stays on? Probably not since you lost power in a storm. We take it for granted that the electricity and natural gas will flow. In today’s world, electricity and gas are a core foundation of the economy and of society, making energy one of […]
Philips Prototypes a Large-scale, Near-real-time Inference Platform to Extend Medical Imaging Using AWS
Image-guided therapy solutions provide visual guidance during minimally invasive therapies. However, with interventional systems located within hospitals, enabling faster innovation and a roll-out of new technologies to the field has been a significant challenge. To solve this, Philips has prototyped a large-scale, near-real-time inferencing platform on Amazon Web Services (AWS) to extend the capabilities of […]
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 […]
FSI Services Spotlight: Featuring Amazon Rekognition
Welcome to the Financial Services Industry (FSI) Service Spotlight monthly blog series. Each month, we look at five key considerations that FSI customers should focus on to help streamline cloud service approval for one particular service. Each of the five key considerations includes specific guidance, suggested reference architectures, and technical code that can be used […]
Improving AstraZeneca Japan’s Enterprise Search Capabilities and Regulatory Compliance using Amazon Kendra
Ethical marketing compliance is critically important for pharmaceutical companies operating in Japan to prevent the miscommunication of wrong or outdated information. In a country known for its strict regulations and emphasis on consumer protection, these companies must adhere to a set of ethical guidelines to maintain trust and make sure of the well-being of patients. […]
FSI Spotlight: Amazon ECR
This blog post discusses five key considerations for using Amazon Elastic Container Registry (ECR) in the financial services industry. Considerations include achieving compliance, data protection, isolation of computing environments, automating audits with APIs, and operational access and security. We provide specific guidance and suggested reference architectures for each consideration, which can help you streamline the […]
Maximizing the value of OT data with DeepIQ DataStudio (Data + AI) on AWS
Operational technology (OT) data refers to the data generated by sensors and other devices used in industrial settings to monitor and control physical processes. Supervisory control and data acquisition (SCADA) systems, data historians, and programmable logic controllers (PLCs) are examples of technologies that generate OT data. SCADA systems are used to monitor and control industrial […]