Name: Cognitive Data Integration Layer for an AI-Enabled, Intent-Driven Data Platform
Start: 2026-03-05T12:00:00-05:00
End: 2026-03-05T13:15:00-05:00

This talk explores a Cognitive Data Integration Layer for an AI-enabled Data Platform powered by MCP, where data access, integration, and transformation are intent-driven and initiated by user or agent queries rather than predefined pipelines or events.

In this model, each user inquiry expresses an intent that MCP interprets and translates into dynamic data discovery, semantic alignment, policy enforcement, and on-the-fly data assembly across the platform. Data is no longer prepared upfront; it is cognitively composed at query time, based on context, meaning, and usage purpose.

This intent-driven approach enables scalable, governed, and trustworthy AI interactions, allowing the platform to respond intelligently to evolving questions while minimizing rigid integration logic and unnecessary data movement.

Jean Joseph

datadrivencommunity

Ronen Ariely

Deepthi Goguri

Cloud Data Driven

Azure Data Tech Groups

Technology

Database Professionals

Cloud Computing

Database Development

Data Visualization

Data Mining

Machine Learning

Computer Programming

Big Data

Data Analytics

Cloud Security

Programming Languages

Open Source

Business Intelligence

Data Science

### **[Faïçal Congo](https://sessionize.com/app/organizer/speaker/21839/eb50bc45-96b5-460f-9e29-4ca7b00641d3)**

OCP Nutricrops - Architecture, Technology & Standards Head
Faical Yannick P. Congo holds a PhD in Cloud Computing and Data Systems and developed a strong research background in collaboration with NIST and Université Clermont Auvergne (UCA), focusing on cloud architectures, data platforms, and standardization-driven approaches.




He has led and contributed to large-scale cloud, data, and AI initiatives within major international organizations including OCP Nutricrops, Sodexo, and Alain Afflelou, working in regulated, multi-region, and business-critical environments.

In parallel, Faical has built entrepreneurial ventures in the United States, France, and Africa, delivering AI and digital solutions across multiple industries, from agriculture and services to retail and industrial sectors. His work consistently emphasizes vendor-agnostic architectures, open technologies, and long-term platform autonomy.

His current focus lies at the intersection of Private AI, cloud-native platforms, Kubernetes, and DevSecOps standards, with a particular emphasis on compute-driven AI standardization (CPU/GPU), agent-based architectures, and sovereign AI operating models.

Faïçal Congo