AI

Before launching any new AI initiative, companies need to evaluate their data integrity. Without clean, consistent, and well-governed data, AI becomes a liability rather than an asset. In this post, Black Tiger CEO Reed Overfelt explores the risk of flawed data and puts forward Master Data Management (MDM) as the solution.

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.