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Enhanced diagnostics flow with LLM and Amazon Bedrock agent integration

Flipboard

The data is then transmitted to Amazon Managed Streaming for Apache Kafka (Amazon MSK) to facilitate high-throughput, reliable streaming. With 13+ years of experience in the IT industry, Tony specializes in architecting scalable, compliance-driven AI and ML solutionsparticularly in generative AI, MLOps, and cloud-native data platforms.

AWS 130
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Ask HN: Who wants to be hired? (July 2025)

Hacker News

I originally wanted to program numerical libraries for such systems, but I ended up doing AI/ML instead. I want to go deeper into this niche, do more CUDA programming, explore tiling DSLs such as Triton, get to know Jax and XLA and study, use and build ML compilers. Some: React, IoT, bit o elm, ML, LLM ops and auotmation.

Python 65
professionals

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Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and…

ODSC - Open Data Science

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

If transitional modeling is like building with Legos, then activity schema modeling is like creating a flip book animation of your customer’s journey. Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. What is Activity Schema Modeling?