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Improving developer experience and productivity is a prime candidate for #GenAI. This covers everything from generating boiler plate code for repetitive tasks, integrating services you maybe unfamiliar with, understanding code for the first time, and all aspects in-between. There is lots of content appearing, and best practices will slowly start to emerge when using #AWS services like Amazon Q, CodeWhisperer and CodeCatalyst. I've started to collate both AWS and community generated content into one repository to make current information easier to find, and will look to continually expand this over time. I've also included code samples you can run yourself. Want to add some of your own content? Raise a PR and I'll merge it in Massimo Re Ferrè Nathan Peck 🌤 Farrah Campbell https://lnkd.in/eNDe2mVS

Improving developer experience and productivity is a prime candidate for #GenAI. This covers everything from generating boiler plate code for repetitive tasks, integrating services you maybe unfamiliar with, understanding code for the first time, and all aspects in-between. There is lots of content appearing, and best practices will slowly start to emerge when using #AWS services like Amazon Q, CodeWhisperer and CodeCatalyst. I've started to collate both AWS and community generated content into one repository to make current information easier to find, and will look to continually expand this over time. I've also included code samples you can run yourself. Want to add some of your own content? Raise a PR and I'll merge it in Massimo Re Ferrè Nathan Peck 🌤 Farrah Campbell

Amazon Q Developer, your new AI asssistant, is now generally available with new features! Here is a list of the most helpful Amazon Q Developer features: - Has knowledge of your AWS account resources - Helps you understand your costs - Answers any AWS-related questions - Assists with coding (supports 15 languages)

Amazon Web Services (AWS) announces the general availability of Amazon Q, its most capable #GenAI assistant for businesses & developers. Can #AmazonQ help accelerate software #development via internal business data? Read on! https://lnkd.in/dT4YGGrV #AmazonQ #AWS #TechNews #StayInformed #StayAhead #dailydose #followus #staytuned #stayconnected #technews #technology #trending #trendingnow #trendingnews #explore #explorepage #techdogs

The recent AWS update, introducing Amazon Q into AWS Glue, marks a significant development for data engineers. This integration allows for the use of natural language in job authoring and troubleshooting, streamlining workflows and enhancing efficiency. It's an exciting step forward in making data engineering more accessible and efficient. #DataEngineering #AWS #AmazonQ #CloudComputing

Post -85: AWS QuickSight — Creating calculated field using Amazon Q Amazon Q is an intelligence AI empowered chatbot and integrated with different AWS services and able to help, troubleshoot to developers, users to improve their day to day productivity. It is one of the best Gen AI powered assistant to speed up the development life cycle and help in identifying the root cause analysis for many issues in quick time. AWS QuickSight is a data visualization service which enables in creating complex visualization with very easy and simple approach. QuickSight enables users not only create simple charts but can implement advance features like drill down, creating calculated field, predicative forecasting, embedded features. Amazon QuickSight is a serverless offering where end users do not need to manage any servers and do the reporting and dashboard with minutes. In this short blog, we demonstrate the power of Amazon Q with QuickSight. This is a very simple demo but the same approach can be followed for creating complex cases. In QuickSight many instances, BI developers and business owners created “Calculated field” to add any new field in the graph with some calculation. Most of the cases the calculated field logic is complex and erroneous error message has been displayed in terms of syntax error or any required field missing. With power of Amazon Q with QuickSight, BI users can easily type the question and Amazon Q prepare the calculated field logic. This will help in improving the productivity of the QuickSight users and calculated field can be created with very simple way. Tagging my friends for more reach - Jitendra Gupta Biswanath Giri Sabiha Ashik Nirav Raychura Anup G. Chirag Nayyar Somen Swain Biswajit Dash Ashish Kumar Kristin Mandia Sumit Kumar Shravya R. #aws #awscommunitybuilders #awscommunity #data #awsquicksight #quicksight #amazonq #sanjeebaws

I'm happy to announce the GitHub repository Clay Elmore and I wrote on a sample framework for monitoring Generative AI based applications on AWS is now public. This includes how and what to monitor for your application, users, and LLM(s). If you are curious to learn more about the solution or Generative AI on AWS in general, please feel free to reach out with any questions or comments. #aws #genai #amazonbedrock #github

Amazon Unveils Q: AI-Powered Chatbot Revolutionizing AWS Customer Support-Kyle Wiggers Amazon introduces Q, an AI-powered chatbot for Amazon Web Services (AWS) customers at their re:Invent conference. Priced at $20 per user per year, Q leverages 17 years of AWS knowledge to provide solutions and insights, ranging from web application building to code transformation. Integrated with organization-specific apps, Q can generate content, take actions, and troubleshoot network issues. Admins have control over Q's access, ensuring privacy and security. The system uses a mix of models from Amazon's AI dev platform, including the Titan family. Q is positioned as a comprehensive tool addressing various business intelligence, programming, and configuration use cases. #AmazonQ #AWS #AIChatbot #CustomerSupport #ReInventConference #CloudComputing #ArtificialIntelligence #TechInnovation #Enterprise

We’re excited to tell you about how we helped MasterWorks migrate their machine learning app to AWS at Avahi Technologies. It saved them 75% in costs, made data modeling faster, and linked up smoothly with Amazon SageMaker. Learn all about it in the complete case study: https://lnkd.in/g8DeKrBE

🤖 I spent 20 minutes today looking in detail at AWS re:Invent 2023's announcement of Amazon Q and I am simply amazed at the ability of this new service to change the way we do business and interact with our data 🤖 Let me summarise the contents of this video for you if you don't have enough time to watch it 😀 What is Amazon Q ? Amazon Q is a new type of generative AI–powered assistant. It is specifically for work and can be tailored to your business to have conversations, solve problems, generate content, and take actions using the data and expertise found in your company's information repositories, code bases, and enterprise systems. What are the areas of expertise of Amazon Q? 👉 Your expert assistant for building on AWS to supercharge work for developers and IT pros. Migrate your old java application to the latest one and generate code become easier and fester 👉 Your expert in your business domain, allowing you to have conversations, solve problems, generate content, and take actions using the data and expertise found in your company's information repositories and enterprise systems. 👉 Amazon Q is in Amazon QuickSight, generate visuals and dashboards, calculations, and data-driven stories to drive alignment and simplify decision-making. You don't need anymore manual action to generate your monthly/quarterly reports. 👉 Amazon Q is in Amazon Connect, improve your customer and support agent experience by automatically detecting customer intent during calls and chats. Amazon Q in Connect provides agents with immediate, real-time generative responses and suggested actions, along with links to relevant documents and articles. 👉 And soon, Amazon Q will also be in AWS Supply Chain. Help supply-and-demand planners, inventory managers, and trading partners have conversations to get deeper insights into stock-out or overstock risks and recommended actions to solve the problem. 🏋♂️ Next time : I will share with you a real demo with a use case using Amazon Q, stay stay connected and follow my forthcoming publications 🏋♂️ #awscloud #aws #ai #business #cloudcomputing #amazon