ai

multilevel graph representation

An AI data modeling technique that structures complex data into interconnected hierarchical levels. It captures both local details and global patterns, enhancing model performance and interpretability in high-risk systems, aligning with principles in frameworks like the NIST AI RMF.

Curated by Winners Consulting Services Co., Ltd.

Putting this into practice

Winners Consulting helps organizations turn this concept into workable policies, processes and audit readiness.

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Companies served: 20+

Named clients published with their permission: MediaTek (trade secret protection), MPI Corporation (ISO 27001 and trade secret protection), InfoLight (ISO 27001), Zhuoyuan Kejian Group × Hypercore Fitness (ISO 27001 and ISO 27701), Yifeng Metal Industry (TISAX / VDA ISA 6.0), the Joint Credit Information Center (JCIC) and Lativ (personal data protection)

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