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As AI tools become easier to access, Virtualitics chief executive Michael Amori argues that companies will stand out through the context they give them: proprietary data, staff expertise, governance and workflows.
Why it mattersIn a Forbes Council essay, Amori says organisations should ask whether AI can reach trusted internal data, capture institutional knowledge and reflect business priorities. He also points to partnerships as a way to connect models with operational expertise. It is an executive’s argument, not proof that context will reliably deliver better results. But it offers a useful counterweight to the industry’s familiar model-ranking contest: intelligence is only useful if it fits the work.
Discuss: When choosing where to invest in enterprise AI, should companies prioritise better models or the data, expertise and governance around them?
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