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Business Analytics and AI

Transform your organization's data into strategic advantage.

Empower your teams to leverage data-driven insights, master analytical tools, and implement AI solutions that transform business challenges into strategic advantages and measurable outcomes.

Expert Insight on Analytics

In this video, Poole College analytics expert Donnie Hale addresses a critical challenge: how to use business analytics when historic patterns no longer predict the future.

Program Offerings

NC State Executive Education offers expert-led professional development programs in business analytics and AI, customizable for your organization’s needs. Browse our offerings and contact us to start a conversation about your team’s professional development.

AI Governance, Ethics, and Accountability: Leading with Trust in the Age of Intelligent Systems

Program Leader

Phaedra Boinodiris, global leader for trustworthy AI, IBM Consulting; author of “AI for the Rest of Us.”

Program Description

AI is not a futuristic concept—it is a reality shaping industries, economies, and societies. This program unpacks the foundational pillars of AI governance and what it takes to earn trust, helping executives move beyond compliance to build AI systems that are transparent, explainable, secure, and human-centric. Through practical frameworks and real-world examples, you’ll learn why AI governance is not just an IT issue, but a leadership mandate that defines competitive advantage.

Learning Objectives

  1. Learn to identify hidden risks in AI systems while understanding why all data is an artifact of human experience.
  2. Develop approaches for building explainable and transparent AI systems within evolving regulatory frameworks.
  3. Build practical strategies for embedding AI governance into corporate strategy with clear accountability and mandate.

Data-Driven Decision Making

Program Leader

Roger Mayer, professor of leadership, NC State Poole College of Management

Program Description

Strengthen your decision-making capabilities by developing your understanding of the art and science of data-driven thinking. Drawing on research in organizational behavior and analytical tools, this program equips you with practical approaches to leveraging data for more informed, impactful business decisions. You’ll learn to avoid decision biases that could lead catastrophic decisions. You’ll learn to translate complex information into actionable insights that drive organizational performance and strategic innovation.

Learning Objectives

  1. Develop strategies to cultivate trust and meaningful relationships across organizational levels.
  2. Learn techniques for effectively empowering team members while maintaining accountability.
  3. Identify key approaches to creating a culture of mutual respect and collaborative achievement.

Leader’s Guide to Unlocking Business Value with AI

Program Leaders

Chris Hitch, adjunct lecturer, NC State Poole College of Management; director of client relations, NC State Executive Education, and Pramod Singh, co-founder, chief product and analytics officer, Inquisite

Program Description

Discover how to strategically evaluate and implement AI initiatives that drive competitive advantage for your organization. Through practical frameworks and real-world examples, you’ll learn to identify high-impact opportunities, make informed AI adoption decisions, and lead successful implementations. This program moves beyond the hype to help you create sustainable business value through AI.

Learning Objectives

  1. Learn techniques for addressing psychological factors like motivated reasoning that affect analytics interpretation.
  2. Develop approaches for navigating group dynamics that can resist or enhance analytic adoption.
  3. Build strategies for ensuring analytics projects deliver meaningful organizational value.

Managing Machine Learning & AI Products

Program Leader

Shawn Mankad, associate professor of analytics and the Stephen P. Zelnak Jr. Scholar, NC State Poole College of Management.

Program Description

Navigate the complex landscape of managing machine learning and AI technology with a practical, insight-driven approach. This program bridges the gap between algorithms and business strategy, providing you with frameworks for effectively managing and developing ML and AI-powered products that have tangible business value.

Learning Objectives

  1. Learn techniques for mapping and analyzing informal social networks within your organization.
  2. Develop strategies for using network insights to improve talent management and team performance.
  3. Build approaches for strengthening workplace relationships and reducing destructive social dynamics.

Privacy in a Data-Driven World

Program Leader

Julie Earp, associate professor of information technology, NC State Poole College of Management

Program Description

Navigate the complex intersection of data privacy, cybersecurity, and business value in today’s digital environment. Drawing on over 25 years of privacy research and industry experience, this program examines critical challenges organizations face in protecting sensitive information across supply chains and data management systems. You’ll learn practical approaches for implementing privacy-conscious frameworks while maintaining operational effectiveness and building stakeholder trust.

Learning Objectives

  1. Develop risk-based strategies for managing privacy across your organization’s digital ecosystem.
  2. Design strategies that balance strong data protection with business innovation needs.
  3. Implement security protocols that strengthen your organization’s privacy resilience.

Relational Analytics: Managing Talent by Managing Informal Social Networks

Program Leader

Tom Zagenczyk, professor of management, NC State Poole College of Management

Program Description

Strengthen your approach to talent management by understanding the power of informal workplace networks. This program teaches you how to identify and leverage the hidden social structures that drive organizational performance. Through evidence-based frameworks and practical examples, you’ll learn how network analysis can enhance employee engagement, improve collaboration, and boost team effectiveness.

Learning Objectives

  1. Learn techniques for mapping and analyzing informal social networks within your organization.
  2. Develop strategies for using network insights to improve talent management and team performance.
  3. Build approaches for strengthening workplace relationships and reducing destructive social dynamics.

The Psychology and Sociology of Analytics

Program Leader

Donnie Hale, teaching assistant professor in business analytics, NC State Poole College of Management

Program Description

Analytic techniques are important, but they are only a small part of building an effective analytic organization. In this program you will learn how psychological and sociological processes impact the interpretation, adoption, and implementation of analytics. We’ll explore individual-level phenomena like motivated reasoning and group-level challenges like out-group resistance. And, we’ll focus on strategies to ensure analytic insights deliver meaningful value in your organizational context.

Learning Objectives

  1. Develop approaches for integrating sustainability across key business functions including operations, investment, and market strategy.
  2. Learn frameworks for identifying sustainability-driven opportunities that create competitive advantage.
  3. Build strategies for leading organizational transformation toward purposeful business practices.

Using Data Effectively: Asking the Right Questions with Data Analytics

Program Leader

Patrick Flynn, Matthew and Soogi Hong Fellow; assistant professor of management, NC State University

Program Description

Transform organizational data into actionable workforce insights through evidence-based analysis. This program teaches you how to identify, frame, and address critical business questions using people analytics. Drawing from both academic research and consulting experience, you’ll learn frameworks for analyzing individual and team performance, adaptation processes, and organizational dynamics. Through practical exercises, you’ll develop skills for turning complex workforce data into strategic recommendations.

Learning Objective

  1. Learn to identify hidden risks in AI systems while understanding why all data is an artifact of human experience.
  2. Develop approaches for building explainable and transparent AI systems within evolving regulatory frameworks.
  3. Build practical strategies for embedding AI governance into corporate strategy with clear accountability and mandate.

Visualizations with Python

Program Leader

John Slankas, senior research scholar, Laboratory for Analytic Sciences; assistant adjunct professor, Department of Computer Science, NC State University

Program Description

Strengthen your data visualization capabilities using Python’s powerful libraries and tools. This hands-on program teaches you how to create compelling visual analytics that reveal insights and patterns in complex datasets. Through practical exercises and real-world examples, you’ll learn industry-standard approaches to building interactive visualizations that communicate data clearly and effectively.

Learning Objectives

  1. Analyze your organization’s current business model to identify strategic opportunities and risks.
  2. Develop techniques to validate business model innovations through stakeholder engagement.
  3. Create implementation plans that align organizational capabilities with emerging market opportunities.

Let’s get started.

We invite you to contact us to start a conversation about professional development for you or your team.

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