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Gregory Kurtzer, founder of Rocky Linux, announces OpenWALDO, a project aimed at opening up AI training data to foster true open-source AI development.
The article argues that AI agent safety focuses too much on instruction-following and not enough on data access governance, highlighting the Agentic Data Protocol as an early effort to put policy in infrastructure.
Enterprise AI often underestimates the work behind data operations, from labeling to governance, which is critical for scaling.
This thread explains why AI security requires infrastructure-layer controls (IAM, VPC, encryption, logging) beyond application-layer prompt filtering, using AWS services as an example.
A study graded 205 AI apps on their data governance practices, finding that over half received a D or F grade, with many apps not disclosing whether user input trains their models.
A report that Microsoft allegedly shared Dutch civil servants' emails with the U.S. House triggers renewed calls for digital sovereignty, highlighting the gap between data residency and actual legal control.
The article examines why internal enterprise AI projects often stall after the demo stage, highlighting operational challenges such as schema mapping, metric definitions, and maintaining trust, while noting that the AI model itself is the easiest part.
A discussion on the challenges consultants face when clients want to deploy LLMs despite having poor data governance, weighing the risks of fixing data first versus deploying quickly on messy data.
LSEG partners with OpenAI to scale trusted AI by grounding models in high-quality financial data, shrinking release cycles from months to two weeks, and expanding the analyst role from data processing to deeper insight.
OpenMetadata is a fast-growing open-source unified metadata platform offering data discovery, observability, and governance with 84+ connectors and no-code data quality tools.