AWS Speakers: @Kellie_Burton, Kinshuk Pahare
Join this session to learn how AWS analytics investments in AI- and ML-powered capabilities can help you accelerate data insights, automate tasks, and empower data professionals to build smarter analytics and generative AI applications. See how AWS machine-learning-powered algorithms optimize workflows to make your applications run faster. Learn about new AI-powered features such as the AWS Glue Studio and Amazon CodeWhisperer integration (CodeWhisperer is an AI coding assistant that autogenerates code and suggests syntax corrections). Also explore Generative BI capabilities in Amazon QuickSight to generate, customize, and share compelling visual narratives using natural language prompts.
Watch more Amazon QuickSight AWS re:Invent 2023 videos.
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ABOUT AMAZON QUICKSIGHT
Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics, and natural language queries. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster.
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This is a companion discussion topic for the original entry at https://www.youtube.com/watch?v=3WiSgXshOc4.