ZDNet November 21, 2023
Industry leaders are concerned about whether enterprises can handle the huge data influx that is required to make the most of generative AI.
Everyone wants to tap into the power of generative artificial intelligence (AI) and large language models, but there’s a rub. Getting AI to meet its sky-high expectations takes viable, quality data — and that’s where many organizations are falling short.
A recent McKinsey report, led by authors Joe Caserta and Kayvaun Rowshankish, points out there is unrelenting pressure to “do something with generative AI”. However, that pressure comes with other issues: “If your data isn’t ready for generative AI, your business isn’t ready for generative AI.”
The report authors suggest IT and data managers “will need...
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