André Claudino·6d agoModel Registry & Lineage: The Control Plane for Shipping Models“Which model is in production, and why?” If that takes an afternoon, you have a problem.A response icon1A response icon1
Chaithanya Das·Oct 21AI Governance in Large Organizations Balances Central Control and Local AutonomyAsk a practitioner who owns AI governance in large organizations and the working answer is a split, not a single owner. Central oversight…
Robert Broeckelmann·Aug 28AI Governance, Model Governance, and MCP Governance: Yes, Apparently We Need ThreeAI governance is one of those phrases that sounds reassuring right up until someone asks what it actually means.A response icon1A response icon1
Robert Broeckelmann·Aug 12Model Governance: Congratulations, You’ve Hired the Smartest Intern in HistoryThis post is also published on the IyaSec blog.A response icon1A response icon1
CHENG HO WAI·Jun 9Securing the Future of Quantitative Finance: Comprehensive Model Governance and Documentation Best…In today’s rapidly evolving financial landscape, organizations are increasingly reliant on complex quantitative models, machine learning…
InSnowflake Builders Blog: Data Engineers, App Developers, AI, & Data SciencebyJayashree Suresh·May 21Security and Governance: Balancing Control and Autonomy in SnowflakeIn the modern data landscape, Data Governance and Data Security are the two key pillars. Every organization would want to protect their…
Aeris·Mar 16The Abdication of the Boss: When Private Property Vanishes, How Democracy Degenerates into…Why Does Communism Inevitably Drift Toward Totalitarianism?
Anjali Moitra Roy·Feb 6Model Governance and Its Role in Scalable Data ScienceModel governance provides the structure needed to manage analytical and machine learning models responsibly, consistently, and at scale. As…
Avri Doria·Jan 2m17m is not ending, but the honeymoon is over.Counter-Opinion: Multi-Stakeholderism Is Not Ending; Rather, It Is Moving to a Next StageA response icon1A response icon1
Smart Resources QLD·Nov 21, 2025Data Science in 2026: Adaptive Intelligence, Ethical Analytics & Industry-Ready Decision SystemsAs 2026 unfolds, data science is shifting from experimental adoption to full-scale operationalization. Organizations are no longer asking…
