Legacy sectors like real estate, construction, and infrastructure are under pressure to modernize—but many are racing to implement AI without the systems to support it. This session offers a roadmap for scaling AI within traditional industries through intentional, ethical, and inclusive infrastructure design. Rakia Finley, a seasoned systems architect and AI strategist, draws on 20+ years leading digital transformation across high-stakes environments, from hospital systems to enterprise software.

You’ll explore the human, technical, and organizational components that make AI scalable and sustainable—especially in slow-moving or highly regulated sectors. Whether you’re leading innovation inside government or an enterprise, this session helps you build with clarity, not just velocity.

What You’ll Learn
- How to align AI infrastructure with human systems in legacy sectors
- The risks of implementing AI without inclusive governance models
- Design frameworks for ethical data pipelines and decision architecture
- How to build internal readiness for AI-driven transformation
- Key takeaways for CTOs and innovation officers leading slow-moving systems