Microsoft releases open-source tools to operationalize AI agent safety

“We built these tools because we believe that AI safety has to become a continuous engineering discipline rather than a periodic checkpoint, and we think the best way to make that happen is to...

Generative AI dos, don’ts, and ‘undos’

AI agents are undeniably powerful, but wielding that power responsibly is another story. This month’s picks dive into the real-world dos and don’ts of...

Databricks at a crossroads: Can its AI strategy prevail without Naveen Rao?

“Databricks is in a tricky spot with Naveen Rao stepping back. He was not just a figurehead, but deeply involved in shaping their AI...

Bring your data to your code with Azure’s Data API Builder

With a working DAB solution, you can now deploy to Azure or any other service. Deploying to Azure is simplified by using the Azure...

Designing AI-ready architectures in compliance-heavy environments

I approached this challenge with three guiding principles. First, I designed modular zones for ingestion, transformation, feature engineering, model training and deployment. This modularity...

A data trust scoring framework for reliable and responsible AI systems

Bias detection and mitigation rates, tracking both disparities discovered and time to remediation.  Model drift detection times, measuring how quickly significant performance degradations are identified.  Explanation...
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