Bridging the hidden gap between data and decisions in the age of AI [Yahoo! Finance]
International Business Machines Corporation (IBM)
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Source: Yahoo! Finance
Everywhere you turn, the conversation about AI includes the same message: success depends on good data . It's become the mantra of every boardroom and conference stage. Companies invest millions in cleaning, tagging, and organizing data with the belief that once it's right, AI transformation will follow. But that belief is incomplete. Cleaning and collecting data is step zero. Without the engineering, architecture, and operational readiness to use it, even the cleanest data set won't move the business forward. Most companies are trying to cross the finish line without actually building the car. A Gartner survey found that 63% of organizations either don't have or are unsure if they have the right data management practices for AI. But even if companies don't know where to start to get from data to AI transformation, there's a straightforward strategy that any organization can use to produce business outcomes. Progress stalls when there's a gap between any of the layers bet
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