May 7-8, 2026 | Online

Strategic Applications of AI: Turning Data and Generative AI into Business Value

Payment Deadline: May 4, 2026
CONTINUING EDUCATION & PROFESSIONAL DEVELOPMENT

Strategic AI Clarity

AI is moving from experimentation to enterprise impact—and leaders need a clear path forward. This course gives you the strategic foundation to align AI with real business value, without getting lost in technical detail. You’ll learn how to assess your data readiness, pinpoint high-value use cases, and redesign workflows for AI-enabled efficiency. Through practical frameworks and guided mapping exercises, you’ll evaluate cost-versus-value opportunities, outline governance essentials, and build a 12-month roadmap tailored to your organization. You’ll leave with a structured, actionable strategy to begin scaling AI where it matters most.
  • Number of Sessions

    Online: May 7-8, 2026
  • Number of Hours

    Two 2-hour sessions
  • Course Investment

Strategic Applications of AI: Turning Data and Generative AI into Business Value

How It Works

Strategic Applications of AI: Turning Data and Generative AI into Business Value provides leaders with a clear, non-technical understanding of how data, analytics, and generative AI can drive meaningful business outcomes. In a highly interactive format, you’ll explore the strategic foundations of AI, assess your organization’s data readiness, and identify high-value use cases that align with operational and growth priorities. Discover how to translate emerging AI capabilities into practical workflows, governance models, and a focused 12-month roadmap designed to turn AI potential into measurable business value.
Strategic Applications of AI: Turning Data and Generative AI into Business Value
  • AI Strategy Foundations

    Participants learn how to evaluate AI’s business value by exploring the AI–analytics continuum, assessing organizational readiness, and identifying high-feasibility opportunities through short lectures and guided discussion.
  • Data Readiness & Capability Mapping

    Through data-estate mapping and structured assessments, participants examine their current data assets, gaps, and requirements to understand what’s needed to support AI adoption at scale.
  • Use Case Prioritization & Cost/Value Analysis

    Using the Cost Down / Value Up framework, participants explore potential use cases, compare feasibility and impact, and surface quick-win opportunities through hands-on value mapping exercises.
  • Roadmap, Governance & Workflow Redesign

    Participants design an initial 12-month AI roadmap, outline governance operating models, and apply workflow redesign techniques to identify priority processes ready for AI augmentation.

Learning Objectives

Identify high-value, high-feasibility AI use cases. 

Understand the AI and analytics continuum.

Assess data estate and Data Strategy Position.

Apply the Cost Down / Value Up framework.

Develop an initial, AI strategy roadmap.

Design initial AI governance operating models.

Lead AI-enabled workflow redesign. 

Instructor Spotlight

Jesse Bockstedt

Jesse Bockstedt is Senior Associate Dean for Graduate Programs and Professor of Information Systems & Operations Management. His research explores behavioral economic issues in technology-mediated environments, with work published in leading journals such as MIS Quarterly and Information Systems Research. A recognized voice on the future of AI, he frequently contributes insights on how organizations can effectively integrate emerging technologies into their operations.
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Emory Executive Education Credentials

Upon successful completion of a course or a certificate you will earn a digital badge that will be emailed to you directly. You can showcase your Emory Executive Education credentials by adding your digital badge to your email signature, resume, personal website, Facebook, Twitter, or LinkedIn. These digital badges represent a visual certification that is embedded with data and will allow future employers to gain a better understanding of what you have learned.
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