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Heavy lifting: Why using AI for data extraction is still no easy task

Using AI to extract data from documents and filings should be a no-brainer. But it takes a lot of brains and money to get those processes set up and running reliably and accurately.

Heavy lifting construction

Data extraction and AI experts are warning that attempting to use generative AI models to parse data from public company documents such as SEC filings could prove costly and—more importantly—may not deliver accurate results. Specifically, they say financial firms that need very high standards of accuracy should not try to develop solutions using generic AI tools and large language models (LLMs) but will need to invest time and money to build highly custom services.

Patronus AI, which provides a

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‘Vibe coding is burning us out’

Vibe coding is rapidly spreading throughout the capital markets, and some are unhappy about it, while others believe the genie is out of the bottle. Engineers spoken to for this story share some choice words—and several expletives—about this new form of coding.

The enshittification of AI

The Waters Wrap: AI may look good to its developers, but there are a few problems lurking below the surface that might cause problems. Max Bowie explains.

DTCC dives into public cloud

The clearing house has begun migrating its equities clearing and settlement systems to AWS, while its tokenization systems have migrated to Microsoft Azure ahead of their launch this fall.

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