Remove Document Remove Measurement Remove Testing
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Beyond “Prompt and Pray”

O'Reilly on Data

Your companys AI assistant confidently tells a customer its processed their urgent withdrawal requestexcept it hasnt, because it misinterpreted the API documentation. These are systems that engage in conversations and integrate with APIs but dont create stand-alone content like emails, presentations, or documents.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

Finally, the challenge we are addressing in this document – is how to prove the data is correct at each layer.? Get Off The Blocks Fast: Data Quality In The Bronze Layer Effective Production QA techniques begin with rigorous automated testing at the Bronze layer , where raw data enters the lakehouse environment.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. What breaks your app in production isnt always what you tested for in dev! How will you measure success?

Testing 174
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Generative AI for Farming

O'Reilly on Data

Many farmers measure their yield in bags of rice, but what is “a bag of rice”? While RAG is conceptually simple—look up relevant documents and construct a prompt that tells the model to build its response from them—in practice, it’s more complex. Digital Green tests with “Golden QAs,” highly rated sets of questions and answers.

Testing 318
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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Documentation and diagrams transform abstract discussions into something tangible. By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Your Chance: Want to test an agile business intelligence solution? Working software over comprehensive documentation. Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Test BI in a small group and deploy the software internally.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value. Think summarizing, reviewing, even flagging risk across thousands of documents. Boosting IT and security AI agents are transforming software engineering , aiding in code generation , testing, refactoring, observability, and beyond.

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