Enterprises often face challenges due to fragmented systems, inconsistent taxonomies, and unclear data relationships. This inconsistency hampers effective agentic reasoning. To address these issues, vendors like Planview and Wolters Kluwer incorporate semantic layers, graph structures, and robust data governance into their platforms. These curated data fabrics enhance the ability to reason over harmonized and contextualized information, essential for effective decision-making.
For Chief Information Officers (CIOs), the decision to build or buy solutions is closely linked to the maturity of their data architecture. In cases where enterprise data is disorganized or poorly governed, developing internal solutions can be inefficient. Opting for a platform with a solid semantic foundation could be the best choice. Notably, AI governance—covering ethics, permissions, and monitoring—must stay under the CIO’s purview. It is not merely an add-on; it’s essential for responsible agent deployment, making it a critical consideration that cannot be outsourced.
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