课程: Advanced AI Analytics on AWS: Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight
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Creating living insights with Amazon Q AI analytics
课程: Advanced AI Analytics on AWS: Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight
Creating living insights with Amazon Q AI analytics
- [Instructor] We're going to talk about how Amazon Q could transform raw data into living actionable insights. And what you're seeing is not just a visualization, it's a living ecosystem where the data is dynamically flowing and transforming and emerging with powerful business insights. And the reason these powerful business intelligence insights are there is that we're able to use automatic anomaly detection and pattern detection using these AI features for analytics. Inside this central nerve center at the heart of the system is the Amazon Q neural core which is a sophisticated AI engine that coordinates all of the data processing and insight generation, and it's pulsing with activity because it's processing and doing pattern recognition. Now, if we look at the data highway here, these are the pathways that are like a high-speed data highway, and they're traveling through and carrying out the information that's going to get processed. If we look at the natural language processing…
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Analyzing lambda costs: Rust vs. traditional approaches3 分钟 18 秒
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Benchmarking lambda performance: Rust vs. Python with Claude5 分钟 50 秒
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Leveraging AWS Data Wrangler for analytics2 分钟 50 秒
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Optimizing energy efficiency in AI analytics workloads3 分钟 56 秒
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Creating living insights with Amazon Q AI analytics2 分钟 39 秒
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Setting up development environments with Amazon Q code catalyst5 分钟 13 秒
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Translating analytics workflows with Q: Python CLI demo8 分钟 4 秒
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