As the AI/GenAI Domain Architect at Nokia, I work on turning AI use cases into scalable enterprise capabilities across an organization of 85,000 employees.

Operating at this scale requires more than model selection. It requires a practical shift in how we design, build, and deliver AI capabilities.

In this presentation, I will describe a framework for a modern AI Factory: an operating model for delivering both traditional AI and agentic AI across the enterprise with greater consistency, reuse, and speed.

I will explain how we approach build-versus-buy decisions and how we choose between low-code/no-code, pro-code, and hybrid delivery models based on speed, control, and long-term maintainability.

I will also discuss the organizational changes needed to support this model, including team structure, architectural governance, and lifecycle management, with the goal of enabling AI adoption across corporate functions in a scalable and sustainable way.

Lotar Schin is a seasoned technology leader and Domain Architect at Nokia, with over 18 years of expertise in driving large-scale data and AI initiatives. Throughout his career—spanning the energy, telecommunications, and financial sectors—Lotar has specialized in the synergy between High-Performance Computing (HPC), robust Data Management, scaled AI and Governance.

Beyond the technical architecture, Lotar is a passionate advocate for organizational transformation. He believes that the "Future of AI" is not just a hardware or software challenge, but a fundamental shift in how global organizations operate. At Nokia, he focuses on building scalable AI ecosystems that harmonize cutting-edge technical foundations with the governance and cultural change necessary for long-term enterprise success.