Philippe Dulou

Frédéric Exposito

Director of Innovation & R&D

“I believe in purposeful Data/AI innovation: scalable, secure, and fully aligned with enterprise architecture.”

Get to know Frédéric better

About

With over 25 years of experience in Enterprise Architecture, Data/BI, and Innovation, Frédéric supports organizations from defining target architectures through delivery and operational readiness (run & support).

His positioning combines enterprise architecture vision, pragmatic execution, and deep expertise in Data/AI technologies (LLMs, NLP, ML, RAG) and modern architectures (cloud, microservices, EDA, data platforms).

Areas of Expertise

  • Innovation Strategy & R&D
  • Data & AI Roadmapping
  • Enterprise Architecture
  • Data Architecture
  • Leadership & Program Management

Professional Background

As Director of Innovation & R&D, Frédéric leads a strategy focused on value creation and technological differentiation, with a strong emphasis on industrialization and reliability.

He also brings proven experience in leading Innovation/R&D entities, managing teams of engineers and PhD researchers, and fostering strong partner and vendor ecosystems.

Over 25 years of experience in data-driven projects.

Publications & Insights

Frédéric shares a perspective focused on production-grade Generative AI, the modernization of data architectures, and the key success factors — governance, security, industrialization, and value measurement — with a particular interest in Data Vault approaches and their evolution.

Context Engineering vs Prompt Engineering: the Real Difference (and Why Everyone in AI Keeps Talking About It)

Context Engineering vs Prompt Engineering: the Real Difference (and Why Everyone in AI Keeps Talking About It)

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More Efficient and Multimodal LLMs: What Concrete Impacts for Enterprise Data?

More Efficient and Multimodal LLMs: What Concrete Impacts for Enterprise Data?

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Let’s Connect

Would you like to discuss Innovation, Data/AI, or Enterprise Architecture?
Contact Frédéric directly through the following channels:

“I believe in purposeful Data/AI innovation: scalable, secure, and fully aligned with enterprise architecture.”