10 essential release criteria for launching AI agents

NASA’s launch-a-rocket activity includes 490 launch-readiness criteria to ensure that all ground and flight systems are prepared for launch. Having a launch-readiness checklist ensures that all operational and safety systems are ready, and validations begin long before the countdown on the launchpad. The most advanced devops teams automate their release-readiness checklists in advanced CI/CD pipelines….

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AI-augmented data quality engineering

Why traditional data quality is no longer enough Modern enterprise data platforms operate at a petabyte scale, ingest fully unstructured sources, and evolve constantly. In such environments, rule-based data quality systems fail to keep pace. They depend on manual constraint definitions that do not generalize to messy, high-dimensional, fast-changing data. This is where AI-augmented data…

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Python everywhere—but are we there yet?

How does Python’s new native JIT stack up against PyPy? Is there life for machine learning applications outside of Python? And can we run our Python apps in WebAssembly yet? Keep reading for answers to these and other burning questions from the Python develop-o-sphere. Top picks for Python readers on InfoWorld CPython vs. PyPy: Which…

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Databricks adds MemAlign to MLflow to cut cost and latency of LLM evaluation

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help enterprises lower the cost and latency of training LLM-based judges, in turn making AI evaluation scalable and trustworthy enough for production deployments. The new framework, according to…

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Snowflake debuts Cortex Code, an AI agent that understands enterprise data context

Snowflake has launched Cortex Code, an AI-based coding agent that aims to extend AI assistance beyond SQL generation and conversational analytics into data and app development tasks. Cortex Code is designed to understand enterprise data context, including schemas, governance rules, compute constraints, and production workflows, Christian Kleinerman, EVP of Product at Snowflake, said during a…

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Today’s Leaders Must Heed AI Advice For Future Disruptors

Startup founders, investors, technologists, and operators are all working frantically to get an early jump onto the AI train. Find out why and get more of the key takeaways from the recent Startup Boston Week event. Go to Source Author: Brendan Witcher

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