DATA · 1 MIN READ
AI cannot fix bad data lineage.
Most enterprise AI projects fail on the data, not the model. Here is the unglamorous work that fixes it.
The reason most enterprise AI projects fail is not the model. It is that the data the model needs is held in three different systems that disagree about what the customer's name is, when the contract started, and whether the most recent transaction has cleared.
AI cannot fix bad data lineage. Data engineering can. It is the unglamorous work every enterprise needs and few do well: core-banking data consolidation after an acquisition, PII tokenisation at scale, cloud migration with the audit trail intact, and regulatory-reporting pipelines whose outputs match the compliance filing exactly.
If your data foundation is already clean and lineage holds up under audit, skip this step and go straight to the build.
Nexura Infotech