How do you deliver insights to tens of thousands of employees across a global enterprise? https://go.aws/3ZFuOdI AWS Global Sales faced "the problem of plenty"—fragmented data sources, too many dashboards, and teams focused on KPIs rather than answering the why behind business trends. With Amazon Quick, they built AWS Insights: a unified platform combining powerful visualizations and conversational AI that reduced time to insight from days to minutes. Now, when someone asks "How are my sales performing?", a CEO receives strategic overview while a seller gets detailed customer-level analytics—all powered by persona-based intelligence. See how Amazon Quick is transforming enterprise analytics for thousands of employees.
Amazon Web Services (AWS)
IT Services and IT Consulting
Seattle, WA 10,673,524 followers
Official Global LinkedIn page for Amazon Web Services (AWS).
About us
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.
- Website
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http://aws.amazon.com
External link for Amazon Web Services (AWS)
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- Seattle, WA
- Type
- Public Company
- Founded
- 2006
Products
Locations
Employees at Amazon Web Services (AWS)
Updates
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Amazon Web Services (AWS) reposted this
Good conversation with CNBC’s Jon Fortt today about customer demand, AI investment, and where we see Amazon Web Services (AWS) heading. We reported 24% year-over-year growth last quarter on a $142B run rate — the fastest pace we’ve seen in 13 quarters. That growth reflects broad-based demand across hundreds of thousands of customers moving workloads to the cloud, putting their data on AWS, and layering AI on top to drive real business value. We’re investing accordingly. The planned capex isn’t about one moment — it’s about building the infrastructure customers need for the long term. We’re incredibly bullish on AWS growth over the next few years. Thanks for the conversation, Jon. https://lnkd.in/gXFh9RSD
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Learn how U.S. Bank readily and easily deployed Amazon Connect to integrate 100s of contact centers and flexibly manage a large volume of calls. https://go.aws/4qm6lVz
U.S. Bank and Amazon Connect
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Every play generates billions of data points. How does the National Football League (NFL) store and process them all in real-time? Episode 2 of "Going Deep: AWS + NFL Next Gen Stats" reveals the storage infrastructure—from Apache Kafka to Amazon S3, and how the right database choices power real-time analytics.
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Amazon Web Services (AWS) reposted this
📰 DXC News 📰 DXC is launching a new Amazon Quick Practice to help customers accelerate AI adoption. The launch comes on the heels of our enterprise‑wide deployment — our entire global workforce of 115,000 employees across 70 countries now has access to Amazon Quick, the Amazon Web Services (AWS) agentic AI‑powered digital workspace — and reinforces DXC’s Customer Zero approach. Backed by more than 10,000 AWS‑certified professionals, our Amazon Quick Practice is purpose‑built to help customers operationalize AI at scale across complex, multivendor enterprise ecosystems. With our Customer Zero model, we validate what works for us under real‑world security, governance, and operational requirements. That experience positions us to work side by side with customers to help them adopt and scale these capabilities in their own environments with greater speed, reliability, and confidence. Learn more: https://dxc.to/3O7vdDm #DXCXponential
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Meet Peter Desantis, a longtime Amazon leader who has helped shape foundational technologies across the company. After 27 years, he now leads a new organization uniting AI models, custom silicon, and quantum computing. Learn more about the visionary behind company's most ambitious long-term technology bets. https://go.aws/4r70iW9
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Amazon Web Services (AWS) reposted this
Q4 closed out a year of continued customer adoption and scaling across Amazon Web Services (AWS). We saw growth accelerate to 24% — the fastest in 13 quarters — as more customers moved AI into production. Some of what we saw this quarter: ▪️ Trainium and Graviton reached a combined $10 billion+ annual revenue run rate, growing at triple digits YoY. Trainium2 powers the majority of inference on Bedrock, and Trainium3 is already in production. ▪️ We launched Nova Forge at re:Invent — a world first — so customers can build customized foundation models with their own data. We also introduced frontier agents, Graviton5, and Trainium3 GA. ▪️ Developers are leaning in: Kiro grew 150%+ QoQ, and the AgentCore SDK has been downloaded over 5 million times since preview. ▪️ AWS Transform has helped customers save over 1 million hours of manual effort and analyze 1.8 billion lines of code since GA in May. ▪️ We added more than 1GW of data center capacity in Q4 alone and signed new agreements with OpenAI, Visa, the National Basketball Association (NBA), BlackRock, the United States Air Force, and many more. Thanks to the AWS team, our partners, and our customers around the world. Looking ahead to what we’ll continue building together. https://lnkd.in/geXPGYf9
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Mai-Lan Tomsen Bukovec, VP of Data and Analytics at AWS, shares how Amazon S3 operates at extreme scale, what it takes to design for durability and availability across millions of servers, and how AWS approaches correctness using formal methods.
The story of S3 is the story of data, which has been written by customers and built by a team that cares deeply about every byte. Great talking to Gergely Orosz from The Pragmatic Engineer newsletter and podcast about the ins and outs of the evolution of S3. https://lnkd.in/gfMY34kX
How AWS S3 is built
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