From Data Mesh to Decision Hive: Architecting AI-Driven Systems
An architectural shift from integrating data to coordinating memory, reasoning and agents, with governance built into enterprise decisions.
Read on LinkedIn ↗Articles, research, books and frameworks that connect enterprise thinking to practical decisions.
Selected articles by Sunil Mysore Kempegowda on enterprise architecture, AI, data and governance. Links open the original LinkedIn publications.
An architectural shift from integrating data to coordinating memory, reasoning and agents, with governance built into enterprise decisions.
Read on LinkedIn ↗Connecting human-readable architecture models with machine-readable semantics, knowledge graphs and an Enterprise Digital Twin.
Read on LinkedIn ↗Why trustworthy data, enterprise context and governance need attention before organisations attempt to scale AI.
Read on LinkedIn ↗A systems perspective on AI as cognitive infrastructure and its implications for institutions, human judgement and governance.
Read on LinkedIn ↗Why enterprise AI value depends on capabilities, information, integration, governance and operating model choices around the model.
ExploreA practical way to compare AI opportunities across value, feasibility, data readiness, risk and adoption impact.
ExploreFive transitions that help organisations move from experimentation to repeatable, governed AI capability.
ExploreUTS doctoral research underpinning the practice's approach to architecture and transformation.
Explore sourceExplore the original publication record and research sources.
Explore sourceTen capability domains connecting strategy, architecture, information, governance and execution.
View capability framework