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Data managers worry lack of funding, staffing will hinder AI ambitions

Nearly two-thirds of respondents to WatersTechnology’s data benchmark survey rated the pressure they’re receiving from senior executives and the board as very high. But is the money flowing for talent and data management?

Cliff edge

Most everyone has had a project they weren’t sure they could deliver. In the capital markets, seemingly overnight, bank board members went from tangentially caring about artificial intelligence to making it the first question asked of technologists after the arrival of ChatGPT and the promise of large language models (LLMs).

The pressure is real. Nearly two-thirds of respondents to WatersTechnology’s Data Management Automation benchmark survey who answered questions about internal dynamics rated

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