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LLMs are making alternative datasets ‘fuzzy’

Waters Wrap: While large language models and generative/agentic AI offer an endless amount of opportunity, they are also exposing unforeseen risks and challenges.

Eugène Carrière
Credit: Eugène Carrière

Seven years ago, I wrote an article titled, “The New Oil Rush: An Examination of the Alternative Data Market.”

The gist was that the explosion of available data, the ability to store that data cheaply in the cloud, and the growing sophistication of analytics tools—increasingly cloud-based and SaaS-delivered—could offer insights faster than human cognition had ever hoped to achieve. The underlying point: technological evolution offers new opportunities (in this case, cloud and the Big Data

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The Waters Wrap: Financial firms are racing to adopt AI—but the payoff depends on having the right foundations, particularly clean, normalized data, writes Wei‑Shen.

How governance-first architecture stabilizes complex systems

Chetan Patil argues that many transformation projects fail not because of the technology but because of weak data governance. Adopting a governance-first discipline early (and building speed, resiliency, and credibility over time) is best.

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