E X E C U T I V E E D U C A T I O N
Leadership in the Age of AI
A private two-day executive education program that helps leadership teams establish shared priorities, identify high-value AI opportunities, strengthen organizational readiness, and develop a practical action plan.
Format: Private, in-person program
Duration: Two 8-hour days
Pre-requisites: None
MOVING BEYOND TECHNOLOGY
Artificial intelligence is creating new opportunities for growth, operating performance, product innovation, and better decision-making. But many leadership teams struggle to understand the new leadership practices and convert fragmented experimentation into measurable enterprise value.
Vendor sessions promote products, and pilot programs often fail to scale or generate measurable value. Technology courses explain software while missing the data, operating, governance, quality, and adoption conditions that drive AI success. Generic courses don't address a company's unique priorities, industry context, readiness, and operational considerations. And those basic training courses are often not taught by people who have proven success in scaling business value creation with AI.
We have a better way.
DEVELOPING AI-FLUENT LEADERS
Our Leadership in the Age of AI program is a private two-day educational program that helps leadership teams establish shared priorities, identify high-value AI opportunities, strengthen organizational readiness, and establish a practical action plan.
Leaders learn together — not as individual course attendees, but as a cohesive team — to connect AI with company-specific growth accelerators, differentiators, and efficiencies that measurably improve performance and valuation.
Applied Education: Executives learn and apply practical AI value-creation methods to their organization's unique strategies, priorities, data, opportunities, and teaming models.
Executable Outcomes: Leaders leave with an action-driven plan for value creation, including measurable goals, opportunities, and improvements in data, process design, architecture, risk, and quality.
Industry-Informed Learning: Course content and discussions address the data, privacy, regulatory, operating, and risk considerations relevant to each organization’s industry.
Unique Team-based Experience: Leaders develop a shared perspective on adoption opportunities and the cross-functional coordination of the strategy, roadmap, governance, and organizational development.
WHO SHOULD ATTEND
Corporate leadership teams of up to 7 (a minimum of 3 is required). Typical job titles include CEO, CFO, COO, CSO, CRO, and CIO. Attendees should include the leaders needed to make decisions about company strategy, operations, finance, technology, and organizational priorities.
WHAT YOU WILL LEARN
DAY 1
How is AI shaping your market and company?
How do leaders translate corporate goals into measurable AI value?
What are the most compelling opportunities for measurable value creation today?
What internal capabilities and operations drive delivery and adoption of AI?
How do leadership teams manage AI investments and organizational development?
DAY 2
How should AI initiatives be organized, resourced, and operationalized?
How do leaders address the complex dependencies between their data and AI?
What plans need to be considered for enterprise systems connecting to AI?
How do we implement the right development, testing, quality, and safety processes?
What are the next steps your team should take to generate value with AI?
WHY THIS SESSION IS DIFFERENT
Many AI sessions focus on tools, trends, or technical concepts. This session focuses on the executive teamwork required to create value. That means asking harder leadership questions:
Where can AI create measurable improvement?
Which opportunities are strategically important enough to pursue?
What data, process, governance, and adoption conditions must be in place?
Where are current efforts likely to stall?
How should leaders avoid vendor sprawl, unmanaged risk, and wasted investment?
What conversations need to happen across leadership, technology, operations, finance, compliance, and the business?
Takeaways
Teams will learn and apply proven disciplines for AI enablement, adoption, and value creation to collaboratively develop their own program elements including:
Company-specific AI vision, market forces, goals, and prioritized opportunities for measurable value creation
Analysis of organizational competencies, data, and development priorities
Governance model and charter for one or more AI opportunities
AI-tailored management frameworks for process improvement, enterprise architecture, risk, and quality
Action plan of next steps
ABOUT THE INSTRUCTOR
Jason Burke is an industry executive, advisor, educator, and author focused on AI, analytics, data strategy, innovation, and enterprise growth.
He has served as Chief AI and Strategy Officer for a life sciences and healthcare consulting firm, founding Chief Analytics Officer for UNC Health, and a senior strategy and product leader for health and life sciences at SAS. He is the author of Health Analytics: Gaining the Insights to Transform Healthcare and has advised organizations across healthcare, life sciences, private equity, venture capital, and academia.
His executive education program at the Duke Fuqua School of Business has been cited by Forbes as one of ten "courses that should be on every executive’s radar."
