Organizations are under pressure to produce an HR AI strategy. That pressure often leads to a familiar sequence: Identify several promising AI use cases. Attend product demonstrations. Evaluate new platforms and bolt-ons. Launch a pilot. Discover that the underlying HR data cannot support the promised result. AI does not create talent intelligence simply because it has access to employee data. It needs to understand the relationship between people, positions, roles, skills, p

Here is a simple test of whether your SAP SuccessFactors environment is ready to support AI: How many employees are currently qualified to perform a particular job - and where are they located? Then ask a few follow-up questions: What are the most significant talent gaps for that role? Which employees are close to being qualified? What development would close their gaps? Do we have enough qualified people available for tomorrow's production requirements? Where are we relying

“Garbage in, garbage out” may be one of the oldest ideas in technology. It is also one of the most important principles for organizations introducing AI into SAP SuccessFactors. The difference is that traditional reports often make bad data visible. A missing field produces a blank cell. An integration failure produces an error. A duplicate employee creates a reconciliation problem. AI can make bad data harder to recognize. It can take incomplete, inconsistent or outdated inf