The promise of GenAI is often hindered by a fundamental and frequently overlooked prerequisite—robust data governance.
One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...
Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol ...
When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data mesh is a hot topic in the data and ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Last fall, after playing around with OpenAI’s GPT-3 text-generating AI model — the predecessor to GPT-4 — former Uber research scientist Jerry Liu discovered what he describes as “limitations” around ...
At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
LinkedIn will use member data to train AI models from Nov 3, 2025, with settings on by default. Users must manually opt out ...
Actionable product demand and usage feedback must find its way back to portfolio managers for continuous portfolio optimization to occur. Morningstar provides a framework and measurement for matching ...
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