Slideshow outline demonstrating how the Equitus KGNN platform (which incorporates Equitus.us, often in partnership with PowerGraph and AIMLUX.AI on IBM Power systems) can enhance AI deployment for Power 10/11 users running AIX.
Slide 1: Title Slide - Accelerating AI on AIX
Title: Harnessing Knowledge Graph Neural Networks (KGNN) for AI on IBM Power 10/11
Subtitle: Improved Accuracy, Explainability, and Security with Equitus KGNN
Key Logo Placement:
Slide 2: The Challenge: Fragmented Data in Enterprise AI
Problem: Legacy and modern systems on AIX often result in disparate, fragmented data sources.
Impact: This fragmentation creates bottlenecks, reduces AI model accuracy, and makes models hard to explain (the "black box" problem).
Enterprise Need: Users require a unified platform for secure, on-premise AI on their powerful Power10/11 infrastructure.
Slide 3: The Solution: Equitus KGNN on IBM Power
What it is: The Equitus Knowledge Graph Neural Network (KGNN®) is a rapid-installation platform leveraging graph analytics (often with partners like Rocketgraph for xGT or the technology behind PowerGraph).
Core Function: It automatically connects, correlates, unifies, and contextualizes disparate data sources into a single, highly scalable Knowledge Graph data store.
Key Advantage for AIX: It is specifically brought onto IBM Power (Power10/11) to leverage its performance for demanding, on-premise AI workloads.
Slide 4: Equitus KGNN Key Capabilities
Automated Knowledge Graph Generation: Automatically ingests, cleans, and structures data from both structured and unstructured sources, eliminating manual pre-processing and ontology building.
Data Unification: Perfect for unifying legacy and modern systems, critical for environments running on AIX.
Advanced AI Components: Delivers software connectors, advanced machine learning, and Natural Language Processing (NLP) within the unified data structure.
Optimization: The solution is optimized for enterprise infrastructure and ensures stability and throughput on Power10/11 servers.
Slide 5: How KGNN Improves Power10/11 AI Deployment
| Feature | Improvement for Power/AIX Users |
| Explainability & Traceability | KGNN provides full data provenance and context, moving AI from a "black box" to explainable intelligence—critical for regulated industries. |
| Accuracy | Unifying and contextualizing disparate data results in AI-ready intelligence and more accurate models. |
| On-Premise Security | The platform is designed for private and secure on-premise AI, keeping sensitive data within the user's control on their Power10/11 hardware. |
| Efficiency | Automated ETL (Extract, Transform, Load) and semantic mapping significantly reduce data bottlenecks and the time-to-AI-readiness. |
Slide 6: Deployment Architecture (Conceptual)
Foundation: IBM Power10/11 running the AIX operating system.
Orchestration Layer: Compatible with orchestrators like RedHat OpenShift or SUSE Rancher.
Core Platform: Equitus KGNN and Equitus Fusion pre-installed.
Data Flow: AIX/Power systems data sources (e.g., databases, S3 buckets) $\rightarrow$ KGNN Automated Ingestion $\rightarrow$ Knowledge Graph $\rightarrow$ AI Agents/Models $\rightarrow$ Explainable Results.
Note: The partnership highlights a way to bring advanced, cloud-level AI capabilities directly to an on-premise, secure AIX environment.
Slide 7: Next Steps & Conclusion
Summary: Equitus KGNN enables Power10/11 users to deploy highly accurate, traceable, and secure AI on AIX by solving the fundamental problem of fragmented data.
Call to Action: Explore a preconfigured KGNN implementation for your Power environment to reduce technical risk and accelerate adoption.
Further Resources: Contact Equitus or IBM to learn more about the partnership and solutions showcased at events like the
IBM Innovation Center
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