AI

To succeed with AI, businesses need high-quality data. This post outlines five essential steps for making data AI-ready: ensuring quality, consistency, completeness, timeliness, and removing duplicates. These practices allow AI to deliver reliable insights, preventing costly errors. Quality data is fundamental for AI-driven growth and decision-making.