Jean-Yves Tremblay

Jean-Yves Tremblay

Alihtya

Montréal, Canada

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Jean‑Yves Tremblay is an Enterprise Architect at Alithya specializing in Dynamics 365 Finance & Supply Chain Management, Microsoft Fabric, Power Platform, and AI-driven business solutions. With over 20 years of experience spanning manufacturing, ERP implementations, software development, and enterprise architecture, he helps organizations transform operational data into actionable insights and intelligent business applications. His recent work focuses on AI Agents, Copilot Studio, semantic models, MCP, and modern data architectures that bridge ERP systems, analytics, and artificial intelligence.

Area of Expertise

  • Agriculture, Food & Forestry
  • Consumer Goods & Services
  • Health & Medical
  • Manufacturing & Industrial Materials
  • Physical & Life Sciences

Topics

  • AI Data Engineering

Practical AI Scenarios for D365 FSCM: What Works Today (and What Doesn’t)

AI around ERP is moving fast — but not every idea is ready for production.
This session shares realistic AI scenarios for Dynamics 365 Finance, highlighting where technologies like Copilot, MCP servers, and ERP analytics services already deliver value, and where expectations should be tempered.
Topics include:

Finance questions AI can answer reliably today
Scenarios that still require human validation
Why MCP‑enabled architectures outperform generic AI access
Lessons learned from early ERP AI implementations

The goal is to help attendees leave with clear, practical ideas they can explore — and avoid common pitfalls.

Practical AI Scenarios for D365 FSCM: What Works Today (and What Doesn’t)

AI around ERP is moving fast — but not every idea is ready for production.
This session shares realistic AI scenarios for Dynamics 365 Finance, highlighting where technologies like Copilot, MCP servers, and ERP analytics services already deliver value, and where expectations should be tempered.
Topics include:

Finance questions AI can answer reliably today
Scenarios that still require human validation
Why MCP‑enabled architectures outperform generic AI access
Lessons learned from early ERP AI implementations

The goal is to help attendees leave with clear, practical ideas they can explore — and avoid common pitfalls.

Jean-Yves Tremblay

Alihtya

Montréal, Canada

Actions

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