Generative AI : Managed services
Offers plug-and-play solutions i.e. RAG in a Box , where with no code low code we can use the power of LLM .
some examples are :
Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company's information repositories, code, and enterprise systems. When you chat with Amazon Q, it provides immediate, relevant information and advice to help streamline tasks, speed decision-making, and help spark creativity and innovation at work.
Amazon Q Business
Amazon Q Business is a fully managed, generative-AI powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on data in your enterprise. Amazon Q provides immediate and relevant information to employees, and helps streamline tasks and accelerate problem solving.
Amazon Q integrates with services such as Amazon Kendra and other supported data sources such as Amazon S3, Microsoft SharePoint, and Salesforce.
Amazon Q Quicksight (Generative BI)
Amazon Q in QuickSight enhances business productivity using Generative BI capabilities to accelerate decision-making. With new dashboard authoring capabilities in Amazon Q, business analysts can use natural language prompts to build, discover, and share meaningful insights in seconds. Amazon Q makes it easier for business users to understand data with executive summaries, a new context-aware data Q&A experience, and customizable, interactive data stories.
Amazon Q Developer (Accelerate your SDLC)
Amazon Q Developer harnesses cutting-edge generative artificial intelligence (AI) to accelerate your software development lifecycle (SDLC). With deep understanding of your code and AWS resources, it streamlines research, design, coding, testing, debugging, troubleshooting, and modernization. Amazon Q is there to help wherever you need it—in the AWS Management Console, integrated development environment (IDE), AWS documentation, and through Slack and Microsoft Teams.
We will dive deep into each of the servcie :