Old data practices key to navigating new agentic ambitions
Metadata and data quality are not as sexy as autonomous agents, but data executives across the capital markets warn that they are integral to successful agents.
Last week, in an interview with CNBC, Goldman Sachs’ president and chief operating officer, John Waldron, talked about the 157-year-old bank in “factory” terms.
“Our human assembly lines will become more digitized. … Digital agents will be our robots [and these agents] will start to change the way we workflow [sic] the firm,” similar to the way that massive production robots revolutionized manufacturing and car factories.
The promise of digital agents—a.k.a. agentic AI—is in streamlining
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