Poor data has become enterprise AI's weakest link
Up until now, enterprise AI has been largely dominated by a familiar conversation: which models should we use, where do we deploy copilots and agents, and how quickly can we move from experimentation to measurable business value?
These have all been pertinent questions, but as teams reach a new stage on their AI journey, they're no longer the pressing ones.
Chief Delivery Officer and Partner, Intellias.
The first wave of AI was one of discovery, with organizations asking a simple question: ‘Can AI help us at all?’ That was followed by a period of rapid experimentation, as enterprises launched proof-of-concepts and pilots across every conceivable business function to understand where AI could deliver value.
Now, the conversation has changed again. Enterprise leaders aren't struggling to identify AI use cases - most organizations already have dozens - the real challenge is moving from experimentation to scaling. It's no longer about asking...
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