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Curated links from external sources — not 360Softy original articles.

ExternalAI
AWS Machine Learning Blog

From data overload to actionable insights: How Verizon Connect scaled agentic AI to 100,000 users

In this post, we show you how Verizon Connect built and scaled an agentic AI solution to transform overwhelming fleet data into clear, actionable insights for 100,000 users daily. We walk you through the architectural decisions, implementation challenges, and measurable results that can guide your own data-to-insights transformation.

Advanced (300)Amazon AuroraAmazon Bedrock
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DZone

Ingesting Fixed-Width Mainframe Files Into Delta Lake: The Details Nobody Writes Down

Fixed-width files from mainframe systems are one of those topics where there's very little written about the specifics and a lot of institutional knowledge living in people's heads or in COBOL copybooks that haven't been updated since 2003. If you're new to a financial organization and someone hands you a layout spec for a mainframe extract, this is for you. What Makes Mainframe Fixed-Width Files Different Unlike CSV, there are no delimiters. Each field occupies a fixed byte position in the reco

DZoneRead original
ExternalAI
NVIDIA Technical Blog

NVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance

Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to... Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to generate actionable trading insights. These advanced AI systems can process financial news, social media sentiment, earnings reports, and market data to predict stock price movements an

NVIDIA Technical BlogRead original
ExternalSoftware Architecture
Martin Fowler

Fragments: May 27

At the GOTO Conference in Copenhagen in 2025, Kent Beck and I spent some time on stage talking and answering questions from the audience - a format I refer to as “two old geezers on a park bench”. We talk about our experiences with LLM-augmented programming (at that point - October 2025), we show our frustration that things we’ve been saying for thirty years still need to be said, we say how anything like a manifesto reunion needs to be led by a younger generation, and opine on what junior deve

Martin FowlerRead original

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