"In the AI world of 2026, the maxim 'Knowledge is power' could be updated to 'Semantics is power,'" says Tony Baer in SiliconANGLE & theCUBE. AI agents don't apply judgment to questionable data the way human analysts do. They don't recognize that "revenue" means gross in one system and net in another, or that last quarter's churn metric was quietly recalculated midway through the year. They reason from the context they're given, so when that context is absent, the outputs are wrong in ways that are hard to detect and impossible to contain. According to Gartner, by 2028, 60% of agentic analytics projects relying solely on MCP will fail due to a lack of a consistent semantic layer. The semantic layer needs to be not only a data team priority but also an organizational one. We built a practical guide for how to audit, build, and govern an agentic semantic layer that scales with your agents, eliminates hallucinations, and gives every user answers they can trust.
Semantics is Power in AI: Gartner Predicts 60% of Agentic Analytics Failures
More Relevant Posts
-
When AI connects every system… who governs the connections? CASE 26 — GOVERNANCE · MISSION · INTEGRATION AI connects. Data flows. Systems converge. Dependencies grow. One decision travels farther than ever before. So do its consequences. Observation The greatest risk is rarely found within a single system. It emerges where systems intersect. Cube Translation Requirement of Life Mission Governance Responsibility Integration Governance Question How should leaders govern the connections between AI systems so resilience grows instead of systemic risk? J.A.M.E.S. = joining. alike.minds. empowering.stewardship.
To view or add a comment, sign in
-
Continuity in the AI Experience: The Manifest (3 of 6) Continuity does not exist simply because information has been admitted. Continuity must also be registered. That is the role of the Manifest. The Manifest is one part of the wider Continuity Substrate. It is not the FLIE Engine. It is not the Memory Core. It is not the Block Tile. It is the registration layer. The inventory. The authoritative record of what exists within continuity. A document may have been admitted. A Block Tile may have been created. A relationship may have been established. But unless those things are registered, continuity remains incomplete. The Manifest answers fundamental questions: What exists? Where does it exist? What type of object is it? What continuity identity owns it? When was it admitted? What relationships does it have? What specialist records describe it? What continuity chains reference it? Can it be found? Can it be traced? Can it be reconstructed? That is what the Manifest is designed to do. The Manifest is the authoritative catalogue of continuity. Every admitted object has a place. Every continuity identity has a trace. Every relationship has context. Every continuity record has a route back to its origin. Without a Manifest, continuity fragments. Files become lost. Relationships disappear. Objects are duplicated. Competing versions emerge. History becomes difficult to reconstruct. Over time, trust begins to erode. This is not a storage problem. It is a registration problem. Most systems focus on storing information. Few systems maintain an authoritative inventory of what exists and how it relates to everything else. The Manifest exists to solve that problem. It provides visibility. It provides discoverability. It provides accountability. It provides traceability. Most importantly, it provides continuity awareness. The Block Tile records continuity. The Memory Core preserves continuity. But the Manifest knows what continuity exists. In simple terms: The Manifest turns continuity into something that can be found, traced, and managed. That may sound administrative. It is not. Because continuity cannot survive if it cannot be located. The future of AI depends not only on generating knowledge. It depends on knowing what knowledge exists, where it came from, and how it connects to everything around it. The future of AI is not intelligence alone. The future of AI is continuity. And continuity requires registration. CID anchors continuity. FLIE admits continuity. Block Tiles record continuity. The Manifest registers continuity. Continuity ID #AI #Continuity #DigitalIdentity #UserOwnedIdentity #DataOwnership #MemoryCore #KnowledgeManagement #ArtificialIntelligence #HumanCentredAI #ContinuitySubstrate #Manifest #InformationArchitecture #DigitalContinuity
To view or add a comment, sign in
-
-
Great read from CIO Online on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale. https://lnkd.in/g-m2Mv6g
To view or add a comment, sign in
-
Great read from CIO Online on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale. https://lnkd.in/gDQTpPxr
To view or add a comment, sign in
-
Great read from CIO Online on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale. https://lnkd.in/ggx-ZvGQ
To view or add a comment, sign in
-
Great read from CIO Online on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale. https://lnkd.in/e-svy3V4
To view or add a comment, sign in
-
Great read from CIO Online on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale. https://lnkd.in/ee7CQgXE
To view or add a comment, sign in
-
Great read from CIO Online on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale. https://lnkd.in/e5iJnJkr
To view or add a comment, sign in
-
Great read from CIO Online on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale. https://lnkd.in/eKHmU9re
To view or add a comment, sign in
-
Great read from CIO Online on the hidden costs of moving AI too quickly. The article argues that outcome debt, data quality debt, model drift, and agent sprawl may ultimately determine whether AI initiatives succeed at scale. https://lnkd.in/ePPBpjJR
To view or add a comment, sign in
More from this author
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development
A consistent semantic layer is becoming essential infrastructure for reliable enterprise AI. Agents can only reason from the definitions and context they receive, so unclear metrics and conflicting business terms will scale errors just as quickly as automation scales insight. Strong semantic governance is therefore not merely a data issue; it is a foundation for trust, accountability and sound decision-making.