NO CLEAN DATA, NO SMART AI – GIGO

AI Fails Because of Data

As artificial intelligence adoption grows across industries, many organizations believe success depends on selecting the right AI tools. In reality, AI rarely fails because of technology. It fails because of poor data quality. AI systems depend entirely on clean, structured, and reliable data to deliver accurate and trustworthy results.

At ABS, our AI strategy is intentionally data-first. By aligning Engineering, Supply Chain, Sales, Finance, and leadership around real business workflows, we strengthened our data foundations and eliminated fragmentation. This approach enabled smarter automation, improved predictive insights, faster SOT automation, stronger MICAP tracking, and more consistent tariff and HTS calculations.

This TechEDGE issue explores what truly makes AI work, highlighting why there is no “plug and play” AI and how strong data foundations are essential for turning AI investment into real business value.

AI success is not about moving faster. It is about building the right foundation.