AIMLUX CONSULTING: UNDERSTANDING THE BASICS OF KNOWLEDGE GRAPHS,
Utilizing Intelligent Ingestion Technology - Equitus.ai Fusion (KGNN) and the power of Semantic Triples, Aimlux.ai transforms database migration from a risky "lift-and-shift" into a sophisticated "intent-aware" evolution and is available as a "SERVICE".
The core innovation here is the Triple: a data structure consisting of a Subject → Predicate → Object. By breaking down complex Oracle PL/SQL and schemas into millions of these semantic facts, Aimlux.ai creates a migration process that understands why data exists, not just where it is stored.
The Knowledge Graph Triple produces a 3D dimensional view, instead of the 2D dimensions found in Property Graph.
Aimlux.ai Managed Migration Services (aaS)
1. Intelligent Migration Assistance (The "Triple" Engine)
Instead of manual mapping, Aimlux.ai uses KGNN to convert your Oracle environment into a semantic map.
Semantic Extraction: KGNN identifies "Triples" within your code (e.g.,
Customer_ID[Subject] →is_linked_to[Predicate] →Invoice_Record[Object]).Intent-Based Mapping: When moving to SAP HANA or IBM DB2, the AI doesn't just look for a matching column name; it looks for a target structure that satisfies the same semantic intent.
Benefit: This eliminates the "ETL Nightmare" by automating up to 80% of the mapping logic.
2. Automated Testing & Validation as a Service
Testing often accounts for 30% of migration costs. Aimlux.ai utilizes the KGNN to perform Semantic Reconciliation.
Fact Verification: The system compares the "Triples" in the source (Oracle) with those in the target (DB2/HANA).
Deep Integrity Checks: If a "Predicate" relationship is broken during transfer—such as a tax calculation rule that no longer links correctly to a region—the KGNN flags the specific semantic break rather than just a generic "null value" error.
Benefit: Reduces validation time from months to weeks with a higher degree of accuracy.
3. Training & Knowledge Transfer
Standard documentation is often outdated by the time a migration ends. Aimlux.ai provides "Living Documentation."
Graph-Based Training: We provide your team with a visual Knowledge Graph of the new system. New hires can query the graph (e.g., "Show me all dependencies for the Payroll API") rather than digging through PDF manuals.
Explainable AI: Because KGNN uses Triples, every automated change comes with a "reasoning path," allowing your engineers to understand the logic behind the converted code.
4. Continuous Maintenance & Optimization (Post-Migration)
Once on IBM Power Systems (RISE), DCS migration assistance is end.
Semantic Drift Detection: As you add new custom code to SAP HANA, Aimlux.ai monitors the "Clean Core" using the KGNN. If a new developer introduces "Spaghetti Code" that breaks the semantic architecture, the system flags it instantly.
Power10/11 Performance Tuning: We utilize IBM Power10’s Matrix Math Accelerators (MMA) to run the KGNN natively. This allows for real-time optimization of the DB2/HANA environment without needing external GPUs or cloud-heavy processing.
A key reason for this hesitancy is the complexity and cost of migrating to a new ERP platform. With ECC driving mission-critical processes, businesses cannot afford disruption to their day-to-day operations.
5. Deployment as a Service
Aimlux.ai handles the heavy lifting of the actual cutover.
Zero-Downtime Synchronization: Using the Fusion KGNN to manage the delta-sync between Oracle and the new IBM/SAP environment ensures that the "Triples" remain synchronized across both systems until the final switch is flipped.
IBM RISE Integration: We ensure the deployment is fully compliant with the IBM RISE for Cloud framework, prioritizing security and high availability.
The Strategic Advantage of "Intent"
|
Feature |
Traditional Migration (Consultant-Led) |
Aimlux.ai (KGNN + Triples) |
|
Logic Capture |
Manual Documentation |
Automated Semantic Triples |
|
Mapping Speed |
Months of "Discovery" |
Days of "Node Extraction" |
|
Testing |
Sample-based validation |
100% Semantic Parity check |
|
Post-Go-Live |
Knowledge leaves with the consultant |
Knowledge stays in the KGNN |
