The gap between having data and having AI-ready data is wider than most organisations realise. While enterprises have invested heavily in SAP systems and data warehouses, technical nomenclature, siloed metric definitions and static governance models create fundamental barriers to AI adoption.
This session exposes three critical architectural pillars that separate AI-capable from AI-ready organisations:
-
FOUNDATION: The Translation Layer Problem
-
INTELLIGENCE: Beyond Simple Search
-
OPERATIONS: Governance That Scales with AI
Key Takeaways (brief insights into the following)
-
AI-Readiness Assessment Framework
-
Semantic Layer Architecture
-
Intelligent Discovery Infrastructure
-
Autonomous Governance Design
-
Practical Implementation Roadmap
×
James Rothwell
Co-Founder and EPM Lead, Syncaip LTD
James has over 20 years’ experience in SAP consulting and specialises in Finance Transformation. James has recently left EY to setup Syncaip, a newly formed boutique consultancy focusing on Data & Analytics, AI and Enterprise Planning
