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.datasage-enterprise-gold