Enterprise AI’s Post

Amazon has introduced Quick Suite, a new agentic-AI platform that integrates with AWS and MCP and connects to over 1,000 enterprise applications via Quick Index. The suite includes modules like Quick Flows, Quick Sight, Quick Research and Quick Automate that let employees generate reports, visualise data and run multi-step automations using natural language. One early adopter reported an 80% reduction in time spent handling customer service tickets. Discover how Quick Suite could transform workflow automation in your organisation: https://lnkd.in/deFsPEMP #AWS #AI #WorkflowAutomation #CloudProductivity

The 2025 AI Power Map is here, and it tells a clear story. The latest IDC MarketScape just named 5 Leaders in the worldwide GenAI Life-Cycle Foundation Model Software category. The 5 AI Leaders & What Sets Each Apart 1️⃣ Google Google’s Gemini + Vertex AI ecosystem earned top marks for breadth, integration, and scalability. → Companies can go from prototype to production without leaving Google Cloud. 2️⃣ Microsoft With Azure OpenAI Service, Microsoft turned OpenAI’s brains into enterprise muscle. Its edge? Integration. Every Microsoft product (from Copilot to Office 365) acts as a deployment channel. → It’s not just AI, it’s ubiquity. 3️⃣ OpenAI GPT remains the benchmark for reasoning and creativity. But OpenAI’s strength is shifting from “cool demos” to enterprise deals, developer ecosystem, and reliability. → From playground to platform. 4️⃣ Amazon Web Services (AWS) Amazon’s Bedrock gives developers choice: Anthropic, Stability, AI21 - all under one managed roof. → Flexibility and cost control win points for companies that don’t want vendor lock-in. 5️⃣ Anthropic Claude models have built a reputation for safety, reasoning transparency, and enterprise trust. → A rising leader in compliance-first AI for large organizations. IDC’s report marks the end of the “model race” and the beginning of the AI maturity race. #AIInfrastructure #GenAILeadership #EnterpriseAI

AWS has launched Amazon Quick Suite, combining AI-powered research, business intelligence, and automation into one unified workspace. Key capabilities include: Quick Index — a unified, searchable knowledge foundation aggregating internal and external sources (documents, databases, apps) to power smarter AI insights. Quick Research — break down complex questions, run multi-source research, validate findings, and get insights with traceability. Quick Sight — ask questions of your data in natural language and receive dashboards, summaries, visualizations, and what-if scenarios. Quick Flows & Quick Automate — build and run workflows (from simple to multi-department) via natural language; no coding required. What this means: Reduce tool switching and silos: All your data, insights, and workflows live in one place. Democratize analytics: Non-technical users can ask questions of data and trigger actions without deep BI or dev expertise. Speed to action: Go from insight to execution without manual handoffs. Governance, observability & scale: Built-in tracking, versioning, monitoring, and audit trails for enterprise use. For existing Amazon QuickSight users — your tools and configurations will carry over into Quick Suite; this is an evolution, not a replacement. I’m excited to see how this empowers teams to move faster, smarter, and more collaboratively. 👉 If your org is exploring AI for internal workflows, this is a tool to watch. #AI #Automation #BusinessIntelligence #GenerativeAI #AWS #Productivity

By 2028, one-third of enterprise software applications will include agentic AI. This projection signals a major shift in how businesses will operate—moving from traditional automation to agentic AI, which refers to autonomous systems capable of making decisions, learning from context, and interacting intelligently with users and environments. 📘 Reference is attached Executive Guide by Amazon Web Services (AWS) The guide is designed to help leaders: - Understand agentic AI frameworks: How these systems function and integrate into enterprise software. - Implement governance models: Ensuring responsible, secure, and ethical deployment of AI agents. - Take practical steps: From strategy to execution, enabling organizations to boost productivity, streamline workflows, and foster innovation. It’s positioned as a business enabler, not just a technical manual—especially relevant for organizations building on AWS infrastructure. https://lnkd.in/euhTSE2H #AIandSecurity #DigitalTransformation #agenticAI #AWS

Amazon has introduced Amazon Quick Suite, a new agentic AI system built into Amazon Web Services (AWS), designed to help employees and organizations streamline work across fragmented systems: Connects to internal data (wikis, intranets, S3, Redshift) and over 1,000 apps via Model Context Protocol (MCP). Enables natural-language automation, workflow orchestration, and data visualization—no coding required. Built for enterprise security and privacy; user interactions aren’t used to train external models. Early adopters like DXC Technology, Vertiv, and Propulse Lab report huge time savings, turning multi-day tasks into minutes. Quick Suite blends AI, data, and workflows to redefine productivity, ushering in a new era of AI-augmented work. #Amazon #AWS #AI #AgenticAI #Innovation #CloudComputing #Productivity #FutureOfWork #ArtificialIntelligence #DigitalTransformation

Friday Future Forecast: The Next Big Wave in .NET As we step into the weekend, let’s look ahead instead of winding down. The .NET ecosystem is evolving faster than ever — and one trend is set to define the next year: AI-Native .NET Applications With Microsoft embedding AI deeply into .NET and Azure, the future isn’t just about building apps — it’s about building intelligent, self-learning applications. From real-time data insights to predictive features inside enterprise software, .NET will no longer just serve users — it will anticipate their needs. My forecast: In the next 12 months, we’ll see a surge of .NET applications that integrate ML.NET, Azure AI, and generative AI APIs as standard features. What’s your future forecast for .NET? Do you see it becoming the default AI-ready framework for enterprises? #dotnet #AI #FutureOfWork #FridayForecast #4devnet

Exploring how AWS is shaping the next generation of enterprise AI through Bedrock: Overview: Amazon Bedrock is a fully managed Generative AI service from AWS that gives enterprises API-based access to top foundation models (FMs) such as Claude 3 (Anthropic), Command R+ (Cohere), Jurassic (AI21 Labs), Llama 3 (Meta), Titan (Amazon), and Mistral — all without managing any infrastructure. Why it matters: Bedrock allows organizations to build, customize, and deploy generative AI applications securely and at scale, leveraging the AWS ecosystem. Key Capabilities Unified access to multiple leading FMs through a single API. Model customization with enterprise data. Retrieval-Augmented Generation (RAG) for factual, data-driven responses. Agents for Bedrock that can plan, reason, and act. Guardrails for safe and compliant AI operations. Data Automation (BDA) for multimodal inputs (text, documents, audio, video). Seamless integration with AWS services like S3, Lambda, SageMaker, Step Functions, and KMS. Security & Governance Your data is not used for model training unless you opt in. Supports VPC isolation, KMS encryption, CloudTrail logging, IAM/SCP controls. Guardrails enforce responsible-AI rules. Common Use Cases: Enterprise search and chatbots. Data summarization and stewardship automation. Knowledge-base Q&A using RAG. Report, code, or content generation. Customer-support assistants and analytics agents. Benefits: No infrastructure management. Choice of multiple top-tier models. Enterprise-grade security and compliance. Fast customization and scalable deployment. Deep AWS ecosystem integration. Generative AI is reshaping how enterprises use their data. With AWS Bedrock, the path to secure, scalable, and customizable AI solutions becomes clearer than ever. #AWS #Bedrock #GenerativeAI #ArtificialIntelligence #AWSBedrock #EnterpriseAI #DataStewardship #Innovation #RAG #AIagents#AWSCommunity, #CloudComputing

𝐀𝐖𝐒 𝐐𝐮𝐢𝐜𝐤 𝐒𝐮𝐢𝐭𝐞 𝐋𝐚𝐮𝐧𝐜𝐡𝐞𝐬 𝐚𝐭 $20/𝐔𝐬𝐞𝐫: 𝐓𝐡𝐞 $10 𝐏𝐫𝐢𝐜𝐞 𝐆𝐚𝐩 𝐓𝐡𝐚𝐭 𝐂𝐡𝐚𝐧𝐠𝐞𝐬 𝐍𝐨𝐭𝐡𝐢𝐧𝐠 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 The enterprise AI landscape shifted yesterday. AWS launched Quick Suite at $20/user/month – undercutting Microsoft Copilot and Google Gemini Enterprise by $10/month. But price wars miss the point entirely. The real story is what Quick Suite reveals about enterprise automation: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐈𝐬 𝐇𝐞𝐫𝐞: Quick Flows enables business users to automate workflows in natural language. Early adopter Propulse Lab achieved 80% reduction in customer service ticket handling. Kitsa reported 91% cost savings analyzing clinical trials – reducing months to days. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲-𝐅𝐢𝐫𝐬𝐭 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: AWS designed Quick Suite to run entirely within secure cloud boundaries. For finance and healthcare sectors, this commitment – guaranteeing data never trains external models – addresses the compliance barrier blocking consumer AI adoption. 𝐓𝐡𝐞 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐆𝐚𝐩 𝐖𝐢𝐝𝐞𝐧𝐬: Here's the uncomfortable truth: Amazon's own Finance team uses Quick Suite to reconcile thousands of invoices monthly. Your team has the same tools available. The difference isn't the license – it's orchestration strategy. 𝐓𝐡𝐞 𝐂𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧: Is your organization trained to use these agents, or to architect them into mission-critical business value? AWS offers a 30-day free trial for up to 25 users. That's 30 days to prove ROI or realize tools alone don't redesign processes. 𝐀𝐭 𝐏𝐫𝐚𝐱𝐢𝐮𝐦 𝐀𝐈, 𝐰𝐞 𝐡𝐞𝐥𝐩 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐚𝐝𝐨𝐩𝐭 𝐚𝐧𝐝 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. 𝐃𝐌 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲.

Built for Business: Amazon Quick Suite Transforms How Enterprises Work with AI 💡 Amazon Quick Suite is AWS’s agentic AI application, built from the ground up to help people work smarter, not harder. It's already transforming how teams across Amazon and leading enterprises automate workflows, find insights, and make faster, better-informed decisions. 🔍 From deep research and natural language data analysis to workflow automation and multi-app coordination, Quick Suite cuts through noise, breaks down silos, and lets you focus on what really matters. Why is Quick different? ✔️ Enterprise-grade privacy and security ✔️ Connected to your business tools (from S3, Redshift, and SharePoint to Outlook, Databricks, and 1,000+ apps) ✔️ Customizable AI agents tailored to your team’s workflows ✔️ Natural language interfaces that work where you work, across browsers, Office 365, Teams, and more 📈 From Jabil saving $400k annually on RFQs to Propulse Lab cutting ticket handling time by 80%, Quick is delivering real ROl. 🧠 Read Swami Sivasubramanian’s deep dive on how Quick Suite is reshaping the future of enterprise work #AWS #ArtificialIntelligence #MachineLearning #Innovation #Productivity #AI #AgenticAI #AmazonQuickSuite #TechForWork

Meet Amazon Quick Suite: The agentic AI application reshaping how work gets done. . Quick Suite is AWS's agentic AI application that helps employees transform how they find insights, conduct deep research, automate tasks, visualize data, and take actions across apps. . Quick connects to your information across internal repositories like wikis and intranets, popular applications, AWS services like S3 and Redshift, and access integrations with MCP to connect to 1,000+ apps. . Ask any question and get insightful answers. . Battle-tested by tens of thousands of Amazon employees and dozens of customers, you can use Quick for tasks consumer AI shouldn't handle. https://lnkd.in/dygMFWuZ #AmazonQuick #EnterpriseAI #WorkSmarter