AWS for Industries
Category: Amazon Bedrock
How Remita Uses Generative AI to Enhance Payment Experience and Integration
In an era where AI transformation rapidly reshapes industries, financial technology (fintech) companies like Remita constantly seek innovative solutions to enhance their service offerings. One such innovation is the integration of Generative AI, which has the potential to revolutionize various aspects of fintech operations, most importantly enhancing user experience. Remita, a leading Nigerian fintech company, […]
re:Invent 2024 recap for the manufacturing industry
Another re:Invent is behind us, and attendees had a busy week of learning at technical sessions, exploring interactive demos in the expo, networking with peers, and having some fun. We showcased an interactive e-bike machine in the Venetian Expo where attendees got a hands-on experience from a simulated factory and multiple practical use cases. We […]
Health eCareers: revolutionizing job searches with generative AI on AWS
In a rapidly evolving healthcare job market, finding the perfect role can be overwhelming. Health eCareers, a premier job board for healthcare professionals, is changing the game with a new AI-driven search experience. This blog explores how Health eCareers built high-impact, production-ready AI workloads on Amazon Web Services (AWS) to make job hunting faster, smarter, […]
Personalizing gamified diabetes education for children with Amazon 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 […]
How Contrast AI Is automating physician documentation with AWS HealthScribe
In today’s healthcare landscape, the burden of administrative tasks, particularly electronic health record (EHR) documentation, consumes an average of 4.5 hours per day for physicians. This time commitment detracts from patient care and is the number one driver of physician burnout—an issue affecting 48% of healthcare workers. It is leading to a projected shortage of […]
How retailers use generative AI for smart data operations and software delivery with Amazon Bedrock
Traditionally, large retailers used to store data depending on the system that processes them and simply copied only the data they needed into the Enterprise Data Warehouse (EDW). As they grew, retailers began to build data lakes, where they could gather all the data in one place. And those data lakes grew. Today, most large […]
Generative AI for Retail: Key trends to watch in 2025
It’s that time of year when the pundits opine on what next year will bring for retailers. Rather than listing the top technology trends in retail as I did last year, I’m going to focus on generative AI and highlight some key trends to watch. If 2023 was the year when generative AI exploded on […]
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 […]
Using generative AI for hyper-personalized telecom billing and subscription experiences on AWS
The quest for hyper-personalization in telecom billing is here to stay Exceptional customer experiences are non-negotiable for building loyalty and driving revenue growth. However, the billing process remains a sore point that frustrates and alienates a significant portion of the customer base. Unclear or confusing bills erode trust, resulting in a contact center calls being […]
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 […]