Imagine a common scenario in financial services. A team deploys AI to review contracts: hundreds of pages, repetitive clauses, and routine work that normally takes employees days. The model identifies the risks and references to correct paragraphs. Yet the output doesn't add up. It turns out the problem is in the contracts folder, where files sit side by side named contract_v1.docx, contract_v2.docx, contract_final.docx, contract_final2.docx, and contract_finalfinal_THIS_ONE.docx. The AI… [...]
Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]
Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context sourc [...]
Presented by CelonisAfter a year of boardroom declarations about “AI transformation,” this was the week where enterprise leaders came together to talk about what actually works. Speaking from the [...]