On the face of it, the data required for artificial intelligence (AI) can be analogized to oil. Both raw materials are plentiful and potentially valuable, but each requires complex refining to unlock its value. One critical difference is that oil can sit in storage almost indefinitely, while valuable data has a shelf life. Customer behaviors shift. Market conditions evolve. Regulatory landscapes change. The longer the data sits unprocessed, the less accurately it assesses the present or forecasts the future. Accurate and timely AI data is far from being a commodity.
