Data readiness will be a core indicator of success in the AI era. Here's how to make sure your company is ready. (www.businessinsider.com)

Recent research from Cloudera reveals a critical gap in data readiness across industries, positioning it as a core indicator of success in the AI era. The study, which surveyed over 1,200 IT leaders, found that 79% of respondents struggle with limited access to data, and only 7% believe their data is fully prepared for AI applications. This disconnect suggests that companies may abandon 60% of AI projects this year due to unready data infrastructures, highlighting the need for a shift in focus from rapid AI adoption to ensuring robust data governance and quality. Cloudera emphasizes that high-quality, well-governed data is essential for driving successful AI initiatives. The survey indicates that many organizations have misplaced confidence in their data's integrity, with 30% of IT leaders citing data quality as a significant barrier to ROI in AI projects. Moreover, fragmented data silos and inadequate integration create accessibility challenges that further hinder effective utilization. To thrive in the evolving AI landscape, organizations must assess their unique barriers to data readiness, prioritize data governance, and adopt a unified strategy for data access, ensuring they can leverage AI technologies to their fullest potential.