enterprise-data
omnimcp_enterprise_data_platform_village_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_enterprise_data_platform_village_teaser.omnimcp_enterprise_dataops_lakehouse_village_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_enterprise_dataops_lakehouse_village_teaser.epfl-enterprise-osai-adoption-research-data
EPFL Enterprise Open-Source AI Adoption Research Dataset
Dataset Summary
This dataset contains mixed-methods research data from 100 organizations regarding their strategic adoption of open-source AI through the Hugging Face ecosystem. The research was conducted at EPFL (École Polytechnique Fédérale de Lausanne) and supports the development of the Gate-Lever framework for enterprise open-source AI adoption.
Dataset Structure
This dataset is organized into 4… See the full description on the dataset page: https://huggingface.co/datasets/itseffi/epfl-enterprise-osai-adoption-research-data.enterprise-data-agent-governance
Enterprise Data Agent Governance
A synthetic evaluation dataset and machine-readable control framework for testing whether enterprise data agents should answer, request clarification or refuse a question.
Last reviewed: 15 September 2026 · Version: 0.1.0 · Repository type: Dataset
Enterprise Data Agent Governance is an open practitioner framework for deciding when an AI agent may answer a question from enterprise data, when it must request clarification or defer, and what… See the full description on the dataset page: https://huggingface.co/datasets/murraylovecode/enterprise-data-agent-governance.enterprise-financial-crime-ai-datasetTransactions → Risk Analysis → Alerts → Investigation → SAR Reports
Dataset Statistics
Total records: 310,396Dataset size: 339 MBAuto-converted parquet size: 65 MB
Languages:
English
French
Spanish
Main fields:
email_id
thread_id
timestamp
language
bank
department
country
risk_level
Enterprise Financial Crime AI Dataset
The Enterprise Financial Crime AI Dataset is a high-fidelity dataset built from real-world operational patterns and enterprise data structures… See the full description on the dataset page: https://huggingface.co/datasets/Webopen2026/enterprise-financial-crime-ai-dataset.BankShield-Enterprise-Grade-Multi-Pattern-Dataset
🏦 BankShield-2M: Synthetic Banking & Fraud Detection Dataset
2,000,000 records · 5 relational tables · 64 features · Multi-country · Analyst-labeled
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Why This Dataset Exists
Every serious fraud-detection, credit-risk, or behavioral-analytics model eventually hits the same wall: real banking data is locked behind NDAs, GDPR constraints, and institutional gatekeepers. Public alternatives are either too small, too narrow, or stripped of… See the full description on the dataset page: https://huggingface.co/datasets/Abdulmajeedyahya/BankShield-Enterprise-Grade-Multi-Pattern-Dataset.