AI adoption does not start with models. It starts with the foundation of your BI environment. Teams preparing for AI should focus on improving data quality, tightening governance, cleaning redundant objects, and upgrading to Cognos 12 to ensure performance and security.
An AI ready environment has clear data lineage, consistent metadata, modern security, and scalable infrastructure. These steps reduce the risk of misleading predictions, increase trust, and make migration to AI enhanced tools like Watsonx BI far smoother.
Anyone have some real examples of using AI with Cognos, that isn't WxBI or what is built inside Cognos?