Equitus KGNN platform, IBM Power users gain a stable, unified data layer

 

Equitus KGNN platform, IBM Power users gain a stable, unified data layer

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Equitus's PowerGraph (KGNN), a Knowledge Graph Neural Network platform, helps bridge the gap for IBM Power 10/11 users primarily by providing a Power-Native, AI-ready data foundation that addresses the challenges of fragmented enterprise data.

Equitus KGNN's capabilities are specifically tailored for the IBM Power ecosystem, offering a way for users on AIX, IBM i, and Linux on Power to modernize their data operations and leverage advanced AI.

PowerGraph bridges the gap: Join us for Webinar Nov.6

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1. Unifying Fragmented and Legacy Data

• Automated Data Integration: KGNN is designed to automatically ingest, clean, and connect various data sources—structured, unstructured, real-time, and legacy data—without requiring complex, manual ETL (Extract, Transform, Load) pipelines.

• Contextualization and Correlation: It unifies these disparate datasets into a schema-less knowledge graph that automatically discovers and maps relationships (context) between entities, overcoming the challenges of siloed data that are common in large enterprises running on Power systems.

2. Enabling Advanced, On-Premise AI

• Power-Native Performance: Equitus KGNN is built to run natively on IBM Power10/11 servers, leveraging the hardware's capabilities, including the Matrix Math Assist (MMA) feature, for high-performance deep learning and graph analytics without relying on external GPUs or cloud dependencies.

• AI-Ready Foundation: The platform transforms raw data into a vectorized, semantically indexed foundation, making it instantly ready for modern AI applications like Retrieval-Augmented Generation (RAG) with Large Language Models (LLMs), BI, and machine learning pipelines.

• Security and Explainability: By keeping the data and AI processing on-premise, KGNN provides a secure, governed environment with full data provenance, which is crucial for organizations using IBM Power systems for mission-critical and regulated workloads.

3. Future-Proofing for Power11

• The tight integration with the IBM Power platform positions users to immediately leverage the performance and architectural advancements of both Power10 and the anticipated Power11, specifically by supporting the latest software and security features on the platform.

In essence, KGNN provides a way for Power users to take their existing, often siloed, enterprise data and quickly transform it into the unified, high-context data structure required to build accurate, traceable, and secure enterprise-grade AI solutions on the Power infrastructure they already own.