The Federated Intelligence Platform (FIP): An Open Reference Architecture for Data Intelligence in Regulated Industries

The Federated Intelligence Platform (FIP) is an open reference architecture for operational data intelligence in regulated industries — healthcare, pharmaceuticals, financial services, and the public sector. Proprietary operational intelligence platforms have proven the value of unifying enterprise data under a semantic ontology and operationalizing it through AI, but they are closed, costly, and lock the enterprise’s ontology into vendor runtimes. FIP delivers the same category of capability — a unified semantic layer, operational AI, and governed decision automation — using open standards, open table formats, and composable components the enterprise owns outright. Its central architectural commitment is federation: data remains under its owner’s jurisdiction and control while intelligence moves to the data, through open data fabrics, federated query engines, privacy-preserving computation, and federated machine learning. This paper defines the five-layer FIP reference architecture, maps it to compliance regimes including HIPAA, 21 CFR Part 11, GDPR, SOC 2, SR 11-7, and the EU AI Act, and presents two reference implementations: a lakehouse-native blueprint and a fully open-source / sovereign blueprint.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23749326
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
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article

The Federated Intelligence Platform (FIP): An Open Reference Architecture for Data Intelligence in Regulated Industries

Abul Fattah Al Mohaimin
Zenodo (CERN European Organization for Nuclear Research)
Privacy-Preserving Technologies in Data
article

The Federated Intelligence Platform (FIP): An Open Reference Architecture for Data Intelligence in Regulated Industries

Abul Fattah Al Mohaimin
article en

Abstract

The Federated Intelligence Platform (FIP) is an open reference architecture for operational data intelligence in regulated industries — healthcare, pharmaceuticals, financial services, and the public sector. Proprietary operational intelligence platforms have proven the value of unifying enterprise data under a semantic ontology and operationalizing it through AI, but they are closed, costly, and lock the enterprise’s ontology into vendor runtimes. FIP delivers the same category of capability — a unified semantic layer, operational AI, and governed decision automation — using open standards, open table formats, and composable components the enterprise owns outright. Its central architectural commitment is federation: data remains under its owner’s jurisdiction and control while intelligence moves to the data, through open data fabrics, federated query engines, privacy-preserving computation, and federated machine learning. This paper defines the five-layer FIP reference architecture, maps it to compliance regimes including HIPAA, 21 CFR Part 11, GDPR, SOC 2, SR 11-7, and the EU AI Act, and presents two reference implementations: a lakehouse-native blueprint and a fully open-source / sovereign blueprint.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
Privacy-Preserving Technologies in Data
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