How the World Uses AWS: Two Industries Leading the Charge

First up: Healthcare
Picture this: doctors focusing more on patients and less on screens. AWS is making that real with services like AWS HealthScribe — an AI-powered speech-to-text service that listens to doctor-patient conversations, detects medical terms, and automatically generates structured clinical notes in compliance with healthcare standards.
Then there’s AWS HealthLake — essentially a fully managed data lake built for healthcare. It can ingest, store, index, and structure health data in FHIR (Fast Healthcare Interoperability Resources) format. Now supporting over 1,400 searchable medical attributes, HealthLake enables complex queries and machine learning directly on patient datasets.
For genomics and bioinformatics? Enter AWS HealthOmics — optimized for processing and analyzing genomic, transcriptomic, and other omics datasets at scale. Researchers use it to run pipelines like GATK (Genome Analysis Toolkit) and store terabytes of sequence data efficiently. AWS even partnered with NVIDIA to bring GPU-powered BioNeMo models to the cloud — so teams can fine-tune protein structure models without setting up local GPU clusters.
AWS isn’t just offering tech — they’re actively fueling innovation with a $10 million healthcare accelerator for AI projects and partnerships, like the one with General Catalyst to integrate AI across diagnostics and hospital workflows.
So, in tech terms: AWS Healthcare is combining compliant data lakes, specialized AI services, and scalable compute to transform medical workflows, research, and patient care.
Now, let’s shift gears to Media & Entertainment — where performance and scale rule.
AWS acts as the cloud backbone for everything from live sports broadcasts to game streaming. At the 2025 NAB Show, AWS showcased Amazon Nova, a foundation model trained for media tasks. Nova can generate personalized graphics, video clips, and synthetic voice content in real time — using generative AI pipelines powered by AWS compute and storage services.
For big leagues like the NHL and NFL, AWS is replacing traditional broadcast hardware with services like AWS Elemental MediaLive (for live encoding), Media Package (for adaptive bitrate packaging), and MediaStore (for low-latency storage). In fact, the NHL ran a full HD remote production with no on-site trucks — just cloud services handling encoding, distribution, and live switching.
On the distribution side, Amazon CloudFront ensures global low-latency content delivery, while Amazon GameLift Streams provides real-time interactive game streaming powered by WebRTC and cloud GPUs.
AI is everywhere here too. Take the NFL’s AI-powered video search built on AWS — using Amazon Kendra (for semantic search) and Amazon Rekognition (for video analysis). Editors can query game footage with natural language, and the system instantly retrieves relevant clips by parsing metadata and visual cues.
So, in media tech terms: AWS is delivering real-time encoding, global CDN, and AI-driven content search, helping broadcasters and streamers scale globally while cutting physical infrastructure.
Note : or this blog, I referred to official AWS sources to ensure accurate and updated information. You can check out the details from AWS’s own announcements and blogs. Here are the links I used while creating this post. Feel free to explore them for deeper insights
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Sudharsanam V
Sudharsanam V
Welcome to Cloud Brilliance, a dedicated platform focused on simplifying AWS and cloud computing concepts. We provide clear, practical insights designed to help learners at all levels build a strong foundation and advance their skills in the cloud domain. Our content covers AWS services, architecture best practices, certifications, and industry-relevant use cases. Whether you are starting your cloud journey or looking to deepen your expertise, this blog serves as a trusted resource to support your professional growth in cloud technology.