Mohamed Elkady
System architect
Mohamed Elkady is a System Architect and Tech Lead in the Data & AI team at Philips Hue (Signify), where he leads and designs AI‑driven systems for smart home products used by millions of customers. He brings over a decade of experience in software architecture, with a recent focus on building and scaling AI agents from experimentation to production.
In his role, Mohamed architects end‑to‑end AI solutions, guides technical teams, and drives the maturity of AI agents into reliable, customer‑sensitive applications. His work spans system design, cloud, IoT systems, and data platforms, with a strong emphasis on responsible AI, privacy, and the real‑world constraints of consumer products.
Architecting AI Agents in Production: Insights from Philips Hue
How do you move from LLM demos to reliable AI agents in production? In this session, Philips Hue shares its journey. We will cover architecture evolution, modular agent design, observability, and key lessons learned while scaling real-world AI agents.
• null
Back to overview
Data-driven leaders discover essential insights, connections, and technology at the Data Expo.
Whether you have already developed an advanced data strategy or your organization is just beginning to take its first steps toward becoming data-driven, Data Expo provides the solutions you need to take the next step.
We believe data drives digital transformation
Unlocking the Power of Retrieval-Augmented Generation (RAG)
Digital Transformation for SMEs: 8 Benefits and Challenges
Subscribe for the newsletter
To top