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.
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The best sales teams don't need more data. They need the right data, connected and ranked, in the moment it matters. That's what Amazon Quick delivers.
What if you had a trusted source at your fingertips to provide the most promising lead lists, so your sales team can get right to calling the accounts that actually show potential? Amazon Quick, your AI workflow assistant, connects to all your tools and sources promising account intel in seconds. Learn more: https://go.aws/4d9SrTn
How do you search 65 petabytes of video surveillance data? March Networks solved the enterprise video storage challenge by combining AWS cloud solutions with generative AI. Using Amazon Bedrock & Amazon S3, they're helping Fortune 500 companies turn massive video archives into searchable intelligence.
Building a great product is just the beginning. Brij kishore Pandey breaks down what it really takes for software startups to become enterprise-ready and how AWS helps ISVs scale with confidence.
Most software startups don't fail because the product is bad. They fail the moment the first enterprise customer says "we want to move forward." That sounds like a dream. Then the real questions start. → Can you support thousands of customers on a single platform? → Can you prove every customer's data is isolated? → Can you pass SOC 2, HIPAA, or ISO 27001 reviews? → Can the architecture handle enterprise scale without breaking? → Can AI run inside the product workflow, not bolted on the side? This is where many software companies realize something uncomfortable. They didn't just need to build an application. They needed to build an enterprise-ready platform. 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗴𝗿𝗼𝘄𝘁𝗵 𝘂𝘀𝘂𝗮𝗹𝗹𝘆 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝗳𝗼𝘂𝗿 𝘁𝗵𝗶𝗻𝗴𝘀 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿: 𝟭. 𝗠𝘂𝗹𝘁𝗶-𝘁𝗲𝗻𝗮𝗻𝘁 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 One codebase. Many customers. Strict isolation, reliable performance, unpredictable growth. 𝟮. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 Enterprise buyers expect proof, not promises. 𝟯. 𝗔𝗜 𝗶𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 AI is no longer a side experiment. It has to live inside real workflows. 𝟰. 𝗚𝗼-𝘁𝗼-𝗺𝗮𝗿𝗸𝗲𝘁 𝗿𝗲𝗮𝗰𝗵 Building the product is not enough. Reaching enterprise customers is its own challenge. This is where Amazon Web Services (AWS) becomes more than a cloud provider for ISVs. It becomes the foundation for building software that can scale, earn enterprise trust, and embed AI into real product workflows. 𝗙𝗼𝗿 𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝘁 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘃𝗲𝗻𝗱𝗼𝗿𝘀, 𝘁𝗵𝗮𝘁 𝗺𝗲𝗮𝗻𝘀: → Flexible infrastructure for cloud-native SaaS → Security and compliance foundations for enterprise buyers → AI capabilities embedded directly into product workflows → AWS Marketplace and co-sell access to larger customers IDEMIA took this approach and achieved 40% cost savings while improving their security posture by modernizing on AWS. 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐀𝐖𝐒 𝐈𝐒𝐕 𝐩𝐚𝐭𝐡 → https://fandf.co/4eozBZE 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐡𝐨𝐰 𝐈𝐃𝐄𝐌𝐈𝐀 𝐦𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐞𝐝 𝐰𝐢𝐭𝐡 𝐀𝐖𝐒 → https://fandf.co/42TlYdN Build without limits. ━━━━━━━━━━━━━━━ When you talk to software founders, where do they hit the wall first — multi-tenant architecture, compliance, or go-to-market reach? Thanks to AWS for sponsoring this post.
Amazon Web Services (AWS) reposted this
🚀 We just made five new capabilities available to accelerate your AI-powered analytics in Amazon Quick. The trust, governance, and domain expertise stays with your data and analytics professionals. These new capabilities help remove the manual work and get your team to trusted data decisions way faster. 🟠 Dataset Q&A — Ask any question of your enterprise data in natural language and get a verified answer in seconds. No dashboards to build, no tickets to file. 🟠 Chat Explanations — See the full reasoning chain behind every AI-generated answer: the SQL, the filters, the assumptions. Trust requires transparency — now you can verify before you share. 🟠 Dataset Enrichment — Teach the AI your business definitions in minutes by uploading context from your existing sources. No complex configuration required. 🟠 Generate Analysis — Describe the dashboard you want, review an editable plan, and get a production-ready multi-sheet dashboard right away. 🟠 Direct Query on S3 Tables — Your Iceberg data lake, queryable in seconds. No warehouse in between, no stale copies. What lands in S3 is what powers your insights. We've also shipped improvements to our semantic discovery and orchestration layer—enabling Quick's AI agents to find the right data source and invoke the right tools with significantly higher precision across complex, multi-domain environments. More on what we built and why: ➡️ https://lnkd.in/g8_GxbHN
95% of AI projects fail. Boomi CEO Steve Lucas knows why & what it takes to flip that number. He shares how Boomi & AWS are turning agentic AI into real enterprise outcomes, from detecting patient falls in hospitals to assessing tariff risks across supply chains. Don’t miss this podcast. https://go.aws/4eFV3te
Is cloud security better than on-premises, or just different? https://go.aws/3Po9ach Tune in to Episode 2 of the AWS Migration & Modernization Podcast, "Security First: Building Trust in Your Cloud Migration." Clarke Rogers (AWS Office of the CISO) & Sara Lofgren (Senior Solutions Architecture Manager, AWS) break down what it really takes to build security into your cloud migration: + Why security must be involved from day one (not after the fact) + The Core Five security foundations every migrating org needs + How to shift from the "department of no" to a business accelerator + Why serverless & containers reduce your security risk
AWS Summit Madrid: tu puerta de entrada a la innovación en nube e IA. https://go.aws/49nCaaT No te pierdas la oportunidad de explorar keynotes de vanguardia, más de 90 sesiones lideradas por expertos, talleres interactivos y demos prácticas. Conéctate directamente con expertos de AWS, aprende de líderes de la industria que comparten casos de éxito reales y descubre el AWS Village repleto de partners y experiencias inmersivas.
The best innovations are the ones you never see. Werner Vogels keynote at AWS Summit Sydney explored the hidden engineering decisions that helped shape modern cloud computing as we know it. Catch the keynote here: https://go.aws/3P02DEN
Imagine if your operations team could solve problems before the rest of your organization even knows they exist. Amazon Quick, your AI assistant for work, connects to all your team's tools, sourcing the answers that allow you to act. Learn more at https://go.aws/4u3aRej Quick flags potential issues across inventory, supply chain disruptions, and burgeoning bottlenecks while offering context-backed solutions. So you can swoop in like a superhero, solving the problem before it gets big.
Amazon Redshift RG, powered by AWS Graviton, delivers better performance - running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 at 30% lower cost per vCPU. Run SQL analytics across your data warehouse and data lake from a single engine — including on open formats such as Apache Iceberg and Apache Parquet. Built to meet the demands of today’s analytics and agentic AI workloads. https://go.aws/4wg5Sse
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