Building an AI-Ready Data Strategy for Large-Scale Enterprise AI Initiatives
AI-Ready Data Shapes Enterprise AI Outcomes Retail enterprises across the United States continue to increase investments in artificial intelligence to improve personalization, forecasting accuracy, fraud detection, and operational efficiency. Despite this momentum, many initiatives struggle to scale beyond early experimentation. Research by IBM shows that only 29 percent of technology leaders strongly agree their organization’s data meets the quality, accessibility, and security standards required for scalable AI adoption. Gartner reinforces this challenge, predicting that through 2026, 60 percent of AI projects will be abandoned if they are not supported by AI-ready data. Across the broader ecosystem, industry perspectives consistently emphasize that AI readiness depends on more than data volume or platform adoption. Effective AI initiatives rely on well-governed, well-documented, and well-integrated data that can be discovered, trusted, and reused acros...