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AI Strategies and Business Intelligence for Executives

Program Overview

This Howard University AI Strategies and Business Intelligence Program for Executives is a premier five-week executive experience designed to elevate leaders beyond AI awareness into immediate application and enterprise execution. Delivered through a structured digital learning model that integrates self-paced modules and business case analysis, with live, faculty-led sessions, the program equips participants to embed AI into their daily leadership workflows—enhancing executive-level decision-making, productivity, and strategic impact.

Participants will develop the capabilities to identify high-value opportunities, build financially grounded AI strategies, and design operating models that scale across business units. The program culminates in a boardroom-ready AI strategy and execution plan, ensuring leaders leave prepared not only to understand AI—but to lead and deliver measurable results from it.

Who Should Attend

Senior leaders and high-performing managers responsible for strategy, innovation, and operational performance, including Senior Executives, Vice Presidents, Directors, government leaders, and entrepreneurs.



This foundational module provides an executive-level understanding of the evolution of artificial intelligence and its implications for leadership. Participants will learn to integrate AI into daily workflows to enhance productivity, analytical rigor, and decision-making.

What can students expect to learn from my course? 

  • Explain how AI evolved to its current capabilities, and why the last three years represented a step change.
  • Describe the use cases deployed today, including new opportunities brought by AI agents.
  • Frame an AI opportunity starting from the business outcome.
  • Analyze how one incumbent restructured and operationalized AI at scale.
  • Assess their own organization against chief success factors and the common pitfalls.

Focuses on converting AI initiatives into measurable business value through ROI frameworks, investment prioritization, and financial modeling.

Focuses on converting AI initiatives into measurable business value through ROI frameworks, investment prioritization, and financial modeling.

Covers operating model design, talent alignment, and execution systems required to scale AI across functions and business units.

What Students Can Expect to Learn From My Course?.

In the five-day Scaling AI Across the Enterprise course, students learn how to move AI from isolated experiments to enterprise-wide capability. They learn to assess organizational readiness, identify high-value AI opportunities, align people, processes, technology, and culture, and design responsible AI adoption strategies. Students also explore how leadership, organizational intelligence, change management, governance, and human judgment determine whether AI creates sustainable value. By the end of the course, students can develop a practical roadmap for scaling AI responsibly, strategically, and measurably across an organization.

Addresses governance, risk, and ethical considerations to ensure responsible AI deployment and executive oversight.

What Students Can Expect to Learn From My Course:

Participants will learn how to evaluate and govern AI initiatives from an executive perspective—not simply by asking what the technology can do, but what the organization must have in place to use it responsibly and create sustainable value. The course will examine AI governance, risk, organizational and human readiness, adoption, accountability, and executive decision-making. Participants will leave with a practical framework for determining when an AI initiative should be piloted, modified, scaled, paused, or stopped—and how to explain the reasoning behind that decision. 

The final week focuses on the refinement and completion of a boardroom-ready AI strategy and execution plan. Participants receive expert guidance while leveraging dedicated team time to prepare and present their strategies to a panel of AI executives and scholars, gaining actionable insights and real-world implementation recommendations.


Instructors

Theodora

Professor Theodora Tau

Theodora Lau is the founder of Unconventional Ventures, a 3x published book author, keynote speaker, podcast host, and one of American Banker’s Most Influential Women in FinTech.

Johnny Graham Headshot

Johnny Graham, Ph.D

National Executive Director of the Howard University & PNC National Center for Entrepreneurship, a national hub advancing entrepreneurship at HBCUs. Also a marketing professor at Howard University and co-founder of Our D.R.E.A.M. Foundation, supporting entrepreneurship education for Baltimore youth.

Terry

Dr. Terry Jackson

Creator of PTOD-OS™ and COO of JCG Consulting Group, Dr. Jackson is a PhD-level leadership and organizational change expert, executive coach, and author. A member of Marshall Goldsmith's 100 Coaches, he's advised leaders across healthcare, government, tech, and Fortune 500 companies.

Graham

Brian Hedgeman, JD, DrPH

A change management and AI enablement leader spanning law, public health, and consulting, Brian is a Senior Change Manager at Greenberg Traurig, guiding AI adoption across global legal operations.

Theodora

Professor Theodora Tau

Theodora Lau is the founder of Unconventional Ventures, a 3x published book author, keynote speaker, podcast host, and one of American Banker’s Most Influential Women in FinTech.

Expected Return on Investment

Participants gain improved decision-making, enhanced productivity, stronger alignment between strategy and execution, and the ability to lead scalable AI initiatives delivering measurable business results


Certificate

All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as Continuing Education Units (CEUs)*.

To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.

*The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program. To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.

 

 

Program Investment: $3,900

Howard University alumni and approved corporate partners are eligible for a 20% discount. Please contact huexecutiveed@howard.edu to request a discount code.