AI and Tips to Prevent Garbage In Garbage Out (GIGO)
Anthony Onesto
| Product | Product Marketing | Top 50 HR | CHRO & Chief People Officer | COO & President | Growth | EBITDA | AI in HR Today | Advisor | Gen Z, AI & Future of Business | Published Author |
In my latest blog post, I address a critical challenge in AI implementation for HR: ensuring data quality.
In this article, I reveal that poor data quality costs organizations an average of $15 million annually, with 84% of CEOs concerned about their decision-making data. HR departments face specific data quality issues, including duplicate records, incomplete information, and inconsistent formatting—all of which lead to flawed decision-making, compliance risks, and operational inefficiencies.
To combat these challenges, I provide practical strategies, including data centralization, regular audits, standardized entry processes, training programs, advanced analytics tools, governance frameworks, and continuous monitoring. While focusing on data quality may be challenging amid daily HR responsibilities, it's essential for effective AI implementation and strategic decision-making.
Read the full article at https://www.flexos.work/ai-in-hr-today/ai-and-tips-to-prevent-garbage-in-garbage-out-gigo.
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1moGreat article! Data centralization and regular audits are crucial for maximizing AI investments in HR. Thanks for sharing these practical strategies! #AIinHR #DataQuality