AWS User Group India’s Post

🚀 𝑨𝑰: 𝑻𝒉𝒆 𝑮𝒂𝒎𝒆 𝑪𝒉𝒂𝒏𝒈𝒆𝒓 𝑾𝒆 𝑪𝒂𝒏'𝒕 𝑰𝒈𝒏𝒐𝒓𝒆 🤖 In today’s fast-paced world, AI has become essential, revolutionizing the way we work and significantly enhancing productivity. It’s no longer something we can miss out on 🌟. AI is a true catalyst for speed ⚡ and efficiency in our daily tasks. Recognizing this, AWS has introduced an exciting feature: Console-to-Code 🛠️. It is a tool that enables AWS users to seamlessly convert their AWS console actions into infrastructure-as-code scripts, simplifying the transition to automated deployments. I’m currently working on a short Medium article ✍️ with a hands-on demo to showcase the power of this feature. Stay tuned—it’s going to be a great resource for anyone looking to optimize their workflows! 💡 #ArtificialIntelligence #AWS #CloudComputing #DevOps #Automation #ProductivityBoost #ConsoleToCode #Innovation #MediumArticle #TechDemo #Developers #InfrastructureAsCode #AIRevolution #StayTuned

Update your code to the latest model Claude 3.5 Sonnet from Anthropic in #AmazonBedrock. 👩💻👨💻🚀🔗 https://go.aws/3VUHr3G Experience the most intelligent model to build & scale your #generativeAI apps at a fraction of the cost of Claude 3 Opus. Claude 3.5 Sonnet is ideal for complex tasks such as context-sensitive customer support and orchestrating multi-step workflows. Whether you’re a startup or enterprise organization, your business can innovate faster with Claude 3.5 Sonnet. #AWS

🚀 Just Launched: Heroku's next-gen platform-as-a-service! This new offering simplifies cloud-native, AI, and agentic capabilities, helping teams build, deploy, and scale modern apps with ease. Why it matters: • 84% of organizations use or evaluate Kubernetes but face scaling challenges. • 46% struggle with cloud-native adoption due to talent shortages. • 84% of CIOs prioritize AI, but only 11% have fully implemented it. Key enhancements: • Support for VSCode, .NET, and other languages. • DevOps automation with AWS services. • Cloud-Native open source standards. • Accelerated AI app and agent delivery with AWS Bedrock. Join the conversation and learn more about Heroku's innovations! 💻🌐 https://sforce.co/4glWavR #Heroku #CloudNative #AI #DeveloperTools

𝐌𝐞𝐞𝐭 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐡𝐚𝐭𝐛𝐨𝐭: 𝐘𝐨𝐮𝐫 𝐍𝐞𝐰 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭! 🚀🤖 At Cloudar, innovation is our game. We're thrilled to unveil the Claude Chatbot, our latest AI-powered assistant 𝐛𝐮𝐢𝐥𝐭 𝐞𝐧𝐭𝐢𝐫𝐞𝐥𝐲 𝐨𝐧 𝐀𝐖𝐒 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞. 🔸𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐛𝐥𝐞: Tailor the chatbot with your own knowledge base. 🔸𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Advanced capabilities for detailed and nuanced responses. 🔸𝐒𝐞𝐜𝐮𝐫𝐞: Your data remains in your AWS account. 🔸𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞: Perfect for startups and enterprises. 🔸𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Seamless interaction with other applications. 🔸𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐛𝐢𝐥𝐥𝐢𝐧𝐠: All usage and charges are billed through your AWS bill. Deploying Claude Chatbot is a breeze with one-click deployment. Whether you’re a startup or a large enterprise, Claude Chatbot is designed to enhance your operations. 🚀 Check out our latest blogpost written by Daan T.!

𝗗𝗔𝗬 𝟮𝟮: 𝗔𝗭𝗨𝗥𝗘 𝗔𝗜 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 - 𝗤𝗨𝗘𝗦𝗧𝗜𝗢𝗡 𝗔𝗡𝗦𝗪𝗘𝗥𝗜𝗡𝗚 & 𝗕𝗢𝗧𝗦! Customer support just got smarter with Azure Language Service and Bot Integration! Today, I explored how to create a custom knowledge base and deploy a bot capable of answering user queries seamlessly. 🤖✨ Here's what I achieved: 𝟭. 𝗖𝗥𝗘𝗔𝗧𝗜𝗡𝗚 𝗔 𝗖𝗨𝗦𝗧𝗢𝗠 𝗤𝗨𝗘𝗦𝗧𝗜𝗢𝗡 𝗔𝗡𝗦𝗪𝗘𝗥𝗜𝗡𝗚 𝗞𝗡𝗢𝗪𝗟𝗘𝗗𝗚𝗘 𝗕𝗔𝗦𝗘 Set up a Language resource in Azure and built a knowledge base with frequently asked questions using Language Studio. 𝟮. 𝗔𝗗𝗗𝗜𝗡𝗚 𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗧 𝗤&𝗔 𝗖𝗔𝗣𝗔𝗕𝗜𝗟𝗜𝗧𝗜𝗘𝗦 Enhanced the knowledge base with custom Q&A pairs, tested it for accurate responses, and refined it to handle various queries. 𝟯. 𝗗𝗘𝗣𝗟𝗢𝗬𝗜𝗡𝗚 𝗔 𝗪𝗘𝗕 𝗔𝗣𝗣 𝗕𝗢𝗧 Integrated the knowledge base with a Web App Bot, enabling real-time Q&A capabilities via a chat interface. 𝟰. 𝗧𝗘𝗦𝗧𝗜𝗡𝗚 𝗧𝗛𝗘 𝗕𝗢𝗧 Tested the bot’s responses to ensure it answers queries accurately and provides contextual information from the knowledge base. Big thanks to my mentors Krishnaa Saravanan , Suganraj S, and Dorene Roxana for their constant support, and a huge shoutout to the Microsoft Learn Students Community St.Joseph's Group Of Institutions and PEP Cloud Computing (AWS/ Azure/ GCP) and DevOps Centre for guiding this journey! 𝗦𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽 𝗴𝘂𝗶𝗱𝗲: https://lnkd.in/giinyagC 𝗗𝗮𝗶𝗹𝘆 𝗣𝗢𝗖 𝘂𝗽𝗱𝗮𝘁𝗲𝘀: https://lnkd.in/gtmPfGUH Excited to see how this can transform customer support with smarter and scalable solutions!#AzureAI #BotIntegration #QuestionAnswering #MachineLearning #AI #30DaysOfAzure #CognitiveServices

Max Ronte asked if I wanted an obligatory photo for LinkedIn… and I didn’t refuse 🙂↔️ This week, we were invited to spend 2 days at Amazon’s London headquarters for a deep dive into Amazon Web Services (AWS)’s GenAI offerings. Some highlights: 🛠️ To start with - compared to other AI players, it’s clear that AWS’s focus is on enabling enterprises to embed GenAI capabilities via tools & platform offerings, rather than competing directly on developing foundational AI models 👩🏻💻 But it’s not just for enterprise - I built 3 (and a half!) working AI apps in under an hour using their PartyRock platform with zero code! #Solopreneur life here I come…!? Jokes aside, the number of times I was told “developers would LOVE if you communicated biz requirements with this” made me realise the importance of no/low-code in streamlining business 🤝 tech collaboration 🤖 Lots of demos showcasing swarm agent architecture (e.g. having an “evaluator” agent judge the outputs of another agent). Guest speaker Julien SIMON from Hugging Face put it nicely when he said - “The reason you give GenAI models a role when prompt engineering is because it helps them perform at their best. So why not bring together a team of GenAI agents, each with their own roles?” 🎤 Julien’s talk on the benefits of open-source in enterprise (and as an accelerator for innovation and collaboration in AI). It was interesting to hear about the dichotomy of Hugging Face’s business model, which balances offering private / closed-source solutions to enterprise clients while supporting open-source initiatives in the broader community A big thank you to AWS for hosting! 🤗 #AWS #GenAI #ArtificialIntelligence #OpenSource #Innovation #NoCode

🚀 Transforming Digital Landscapes with R Systems 🚀 Proud to be part of R Systems, recognized as a premier AWS Advanced Partner in 2024! 🌐 We're experts in AI/ML, cloud tech, and digital product engineering, revolutionizing business innovation and growth. R Systems leads with advanced solutions such as Generative AI, app modernization, and cloud-native tech, driving efficiency, optimizing operations, and enhancing customer experiences. We ensure data security, cost savings, and swift value delivery, guiding businesses through intricate digital changes with ease. Interested in AI's business impact? Dive into the CIO Insights article on how R Systems is reinventing industries: https://lnkd.in/e4Rn2xuF 🔗 Let's connect to explore how we can drive digital excellence together! #RSystems #DigitalTransformation #AWS #AI #MachineLearning #CloudSolutions #Innovation #CustomerExperience #CIOInsights R Systems

☁️🚀 DeepSeek R1 is Now on Azure AI Foundry & GitHub! 🤖💡 Great news for AI developers and enterprises! DeepSeek R1 is now available in the Azure AI Foundry model catalog and on GitHub, joining a growing portfolio of 1,800+ AI models—including frontier, open-source, industry-specific, and task-based AI models. 🔹 Why does this matter? DeepSeek R1 offers a powerful, cost-efficient AI model that helps businesses integrate advanced AI seamlessly and securely while meeting SLAs, security, and responsible AI commitments—all backed by Microsoft’s trusted cloud. ⚡ Accelerate AI Innovation with Azure AI Foundry With built-in model evaluation tools, developers can experiment, benchmark, and scale AI-powered applications faster than ever. This rapid accessibility enables businesses to unlock new opportunities with minimal infrastructure investment. 🛡️ Develop AI with Trust & Security DeepSeek R1 has undergone rigorous safety evaluations, red teaming, and automated assessments to ensure secure and responsible AI deployment. With Azure AI Content Safety, enterprises can confidently build AI solutions in a compliant and secure environment. 🔗 How to Get Started with DeepSeek R1 ✅ On Azure AI Foundry: 1️⃣ Sign up for an Azure account if you don’t have one. 2️⃣ Search for DeepSeek R1 in the model catalog. 3️⃣ Open the model card and click Deploy to access the inference API & playground. 4️⃣ Start testing your prompts in less than a minute! ✅ On GitHub: Explore resources, guides, and integration steps to seamlessly deploy DeepSeek R1 in your applications. 💻 What’s Next? Coming soon, distilled versions of DeepSeek R1 will be available to run locally on Copilot+ PCs—bringing advanced AI reasoning to more devices than ever. 🚀 Get started today! Try DeepSeek R1 on Azure AI Foundry and GitHub and unlock new AI-powered possibilities. 🔗 Start here: https://lnkd.in/efywSsVq #AzureAI #AIInnovation #DeepSeek #MachineLearning #ResponsibleAI

On July 10th, 2024, Amazon Cloud Services (AWS) will feature Dr. Matt Wood, VP for AI Products, to present the latest AWS innovations in AI. The keynote will explore AWS’s role in making AI accessible to a broader range of creators, detailing how these tools are revolutionizing customer experiences and technological development. Key Takeaways: Democratization of AI: Dr. Wood will highlight AWS’s commitment to democratizing AI, focusing on generative AI, developer tools, and infrastructure that enable both established companies and startups to innovate. Diverse Sessions: The event will offer sessions catering to various proficiency levels, from beginners to experts, covering topics like data migration, database options, and AI applications. Customer-Centric Innovation: Insights on how AWS’s advancements in AI are transforming customer experiences will be shared, with a spotlight on secure, scalable solutions that support the development and scaling of AI applications. Empowering Builders: The emphasis will be on providing the tools and infrastructure necessary for builders to develop advanced applications and responsibly scale generative AI. Networking Opportunity: Attendees will include a mix of developers, database administrators, data engineers, analysts, and data scientists, offering a rich environment for knowledge exchange and collaboration. The event aims to accelerate software development and data utilization while ensuring the responsible use of AI technology. Notable AWS leaders and customers, such as Epic Games, will be featured to showcase real-world applications and successes. For more information or to register follow this link: https://lnkd.in/gPD5fZaF #artificialintelligence #future #technology #aws #cloudcomputing

What’s New with AWS? October 2024 Update The cloud industry is evolving fast, and AWS continues to push the boundaries! Here are some of the most exciting new updates: 1️⃣ Amazon Q – AI-Powered Assistant AWS launched Amazon Q, its first generative AI assistant, designed to help businesses automate tasks, generate content, and extract insights with simple natural language. With built-in security and access control, Amazon Q can connect to systems like Salesforce and SharePoint, offering traceable, secure results. This reflects AWS’s strategic focus on AI-powered enterprise solutions. 2️⃣ AWS App Studio – Build Apps in Minutes Non-coders can now create scalable, secure applications using AWS App Studio. This low-code platform allows users to describe the apps they need, and AI takes care of the rest—from data models to UI. Perfect for businesses looking to innovate quickly without the hassle of manual development. 3️⃣ Amazon Bedrock – Fine-Tuning Generative AI Models AWS introduced new features to Amazon Bedrock, including fine-tuning options for Anthropic’s Claude 3 Haiku models. With privacy and safety controls embedded, Bedrock empowers companies to build highly customized generative AI solutions. 4️⃣ Expanded Cloud Credits for Startups AWS doubled its cloud credits to $200,000 under the AWS Activate program, aiming to attract AI startups. The company also allocated $230 million towards its Generative AI Accelerator program, signaling a strong commitment to fostering innovation in AI. 5️⃣ No More Egress Fees! AWS removed data egress fees for customers moving workloads to other clouds or on-prem environments, aligning with industry trends toward more open cloud ecosystems. With AI taking center stage and infrastructure investments in regions like Japan, Mexico, and the U.S., AWS is gearing up for a future where generative AI will transform every aspect of business and technology. 🌐💡 #AWS #CloudInnovation #GenerativeAI #AmazonQ #AWSAppStudio #CloudComputing