AWS for Industries
Category: Analytics
Personalizing gamified diabetes education for children with HAQM Bedrock
Learning that your child will be impacted by diabetes for the rest of their life is hard, and teaching them how to manage the condition in a fun and productive way adds difficulty. Generative artificial intelligence (AI) now provides an opportunity to enhance educational games to be intuitive, informative, and engaging. We’ll provide details on […]
Your telecom cloud journey on AWS: Part 3 – Optimizing cloud operations on AWS for telecom excellence
Introduction In “Your Telecom Cloud Journey on AWS: Part 1 – Establishing a Foundation” and “Accelerating Your Telecom Cloud Journey: A Technical Roadmap with AWS” we covered the transformation journey that many Telcos are embarking on when running complex and critical Telco workloads on AWS. Once a cloud foundation is established and workloads are running […]
AWS Brings the Power of Generative AI to Ecommerce with the AI Shopping Assistant
You’re planning a home project—maybe building a new deck or finally transforming that basement into a cozy retreat. You visit an online retailer, ready to order supplies, only to be met with pages of options: hundreds of screws, dozens of wood types, countless tools. What started as an exciting project now feels like a chore […]
Streamlining U.S. EPA Subpart W Greenhouse Gas Reporting with AWS and Sustainability Insights Framework
Introduction Oil and Gas companies operate in a complex global environment that requires them to balance energy demand with a lower carbon footprint. The United States’ Environment Protection Agency (EPA) requires all Oil and Gas companies to report greenhouse gas (GHG) emissions annually to track high GHG-emitting facilities and develop climate policies accordingly. GHG reporting […]
Improving patient pre-screening for clinical trials with generative AI on AWS
Clinicians face several challenges when finding and enrolling patients in clinical trials. These include lack of awareness, limited access to trial information, especially for rare diseases, and time constraints. Typically, clinicians undertake a set of steps to find and evaluate clinical trials for their patients that include identification of patients who would benefit from a […]
Unleashing sustainable potential: harnessing machine learning on AWS for optimal energy usage
Organizations have been looking to modernize their legacy Building Management System (BMS) with data analytics and artificial intelligence/machine learning (AI/ML). Although they can help organizations achieve their sustainability goals, improve energy management, and other smart building capabilities, they can also turn into a substantial setback if the systems aren’t set up properly to use the […]
Underwriting at the speed of cloud – How life insurers can optimize underwriting using AWS
Life insurance underwriting is poised for significant transformation, driven by increasing customer expectations and enabled by the growing sophistication of technologies like data analytics, wearables, artificial intelligence (AI), and Generative AI. Modern insurers are leveraging these technologies to optimize their end-to-end underwriting processes. This article discusses the opportunity space and how AWS services facilitate substantial […]
Axis Bank modernizes its customer digital journeys on AWS
In today’s digital-first world, streamlining the customer onboarding journey in retail banking is crucial for business growth and customer acquisition. Banks understand the need to shift their focus from product-centric to customer-centric origination. By prioritizing the customers’ needs and preferences throughout the digital onboarding process, banks can create a foundation for stronger relationships, cross-selling opportunities, […]
Orchestrating Clinical Generative AI Workflows Using AWS Step Functions
In the rapidly evolving field of healthcare, leveraging generative AI has the potential to revolutionize patient care and streamline clinical processes. However, orchestrating these complex workflows while ensuring data security and compliance with regulations, such as HIPAA, can be challenging. A common pattern involves starting with the source data, choosing a generative AI model, and […]
How HAQM built a highly scalable and secure tokenization solution on AWS
Protecting sensitive (personal data such as payment and health data) is one of HAQM’s highest priorities. In support of this goal, HAQM developed Lumos, a highly secure and scalable internal service that provides low-latency APIs to tokenize sensitive data. Lumos is a cloud-native application built on HAQM Web Services (AWS) serverless and security offerings; processing […]