This report explores enterprise readiness for AI and ML, revealing high interest but widespread uncertainty. Based on surveys of 1,000 decision-makers, it identifies three key challenges: ensuring a high-quality data foundation, establishing clear use cases and strategy, and closing the skills gap. While 80% agree AI is essential for competitiveness and many are already seeing ROI, 77% cite concerns about data quality, and 72% say they lack the skills to implement AI effectively. Most agree that humans should remain central to decision-making. The report stresses that successful AI adoption requires trusted data, embedded solutions, and strategic partnerships.

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