Operationalizing Digital & AI Transformation

This unit focuses on turning strategic design and technical foundations into repeatable, operational practices that scale digital and AI initiatives across an organization. Students will synthesize cloud architecture, data products, adoption strategies, FinOps, real-time processing, and DEI-informed onboarding to prepare organizations for sustained transformation and continuous improvement.

Learning Objectives

• Analyze and prioritize a data roadmap and portfolio of data products by applying business-value, technical-feasibility, latency, and privacy criteria to justify sequencing and investment decisions.
• Apply cloud foundation and real-time processing patterns to design a cost-optimized, scalable architecture, incorporating FinOps principles and measurable cost-performance tradeoffs.
• Demonstrate the creation of an adoption plan by defining the roles, responsibilities, and operating model for a transformation office and adoption team, including a new-employee onboarding journey and DEI practices.
• Evaluate organizational readiness and define governance, monitoring, and continuous-improvement metrics (KPIs) to measure adoption, compliance, and business outcomes of digital and AI transformation efforts.