- Inside the UN’s “AI for Good” Global Commission: Aligning Ethics . . .
The UN and ITU have kicked off the “AI for Good” Global Commission, uniting top tech CEOs, global leaders, and UN agency heads to craft an ethical AI governance charter As CEO of InOrbis Intercity, I explore the commission’s objectives, market impact, expert perspectives, and future implications
- Palantir CEO Alex Karp’s Chaotic CNBC Interview: Nervous Breakdown, AI . . .
Analysis of Palantir CEO Alex Karp’s CNBC appearance reveals enterprise AI’s shift from hype to mission-critical deployment, emphasizing governance, security, and accountability in government-focused AI The briefing highlights risks of ambiguous messaging, the strategic Palantir–Nvidia partnership, and leadership’s role in AI stewardship and market trust
- AI Governance Models: US vs EU vs China | Complete 2026 Comparison
Three competing AI governance models shape global digital power in 2026: EU's rights-based regulation, US's decentralized innovation approach, and China's state-led technological sovereignty Discover key differences and impacts
- Data Governance vs. AI Governance: Why Confusing the Two Is Costing . . .
For the last decade, "governance" in the enterprise meant data governance - stewardship, lineage, access controls, and compliance It was mature, well-funded, and mostly solved Then AI arrived
- Data Governance Frameworks for AI Compliance | 2026 - Dataversity
Learn what a data governance framework for AI compliance requires in 2026 – components, regulatory drivers, and how to build one that holds
- AI Governance in Service Management - Blog | PeopleCert Community
An integrated AI Governance Model that combines three international reference standards—the ITIL® 6C Model, ISO IEC 42001:2023, and ISO IEC 20000-1:2018—and applies them in the context of Managed Support and Service Management
- Donating the Model Context Protocol and establishing the Agentic AI . . .
Today, we further that commitment by donating MCP to the Linux Foundation The Linux Foundation and the Agentic AI Foundation The Linux Foundation is a non-profit organization dedicated to fostering the growth of sustainable, open-source ecosystems through neutral stewardship, community building, and shared infrastructure
- AI and Data Governance: The Essential 4-Pillar Framework for 2025
Learn how AI and data governance work together Follow our 4-pillar framework to build trust, reduce risk, and unlock AI value in 2025
- AI Governance vs AI Risk Management Explained - LinkedIn
Learn the key differences between AI Governance and AI Risk Management to improve AI security, compliance, and responsible AI adoption
- Master Data Governance: Framework Implementation Guide
Master data governance (MDG) has moved from a data concern to a business-critical capability Despite years of investment in analytics and AI, many organizations still struggle to trust their most critical data, including customer, product, supplier, and location data, which sits at the intersection of finance, operations, and customer-facing teams When data governance is fragmented across
- Global AI Regulations in 2026: Enforcement, Risks Fines
A complete guide to global AI regulations in 2026, covering EU AI Act enforcement, U S compliance challenges, agentic AI risks, and penalties
- AWS Data Governance Operating Model 2026: SageMaker Catalog
Federated data governance on AWS — catalog tooling vs stewardship RACI, SageMaker Catalog on DataZone, Glue technical metadata, and Lake Formation enforcement
- AI policy vs. AI governance: Whats the difference? - LinkedIn
Having an AI policy isn’t enough to protect your organization I like to say that trust is nonprofits’ primary currency
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