Leading With Advanced Analytics and Artificial Intelligence

Kellogg School of Management

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  • from 5 days
  • online, in person

What are the topics?

Kellogg School of Management

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Who should attend

  • Leaders who want to scale analytics and AI in their organization
  • Senior leaders who want to build a culture of data-driven decision making
  • Functional leaders in areas such as marketing, finance and other operational areas who would benefit from a better understanding of how to leverage analytics and AI in decision-making
  • Data scientists who want to learn how to create business value with analytics and improve their communication with non-technical managers

About the course

Technology and data science specialists are not the only ones responsible for leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges. Rather, organizational leadership is responsible for understanding and directing these approaches to achieve their business goals.

This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, enabling them to identify the challenges that analytics, machine learning and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world challenges.

Each participant will have the opportunity to receive faculty and peer feedback on a current business challenge related to leading analytics and AI functions within their organizations.

Key Benefits

  • Identify the business challenges that can benefit from analytics and AI
  • Distinguish between good and bad analytics
  • Learn to ask the right questions and challenge assumptions of analytics and AI
  • Utilize data, analytics and AI to drive successful business outcomes
  • Assemble the team and resources needed to drive data analytics
  • Gain the leadership confidence to stay ahead of a rapidly changing marketplace

Program Content

Why Analytics Needs You and Why You Need Analytics

  • Understand why analytics is every leader’s problem
  • Judge what good analytics looks like
  • Identify where analytics adds value
  • Lead with confidence

The Kellogg Analytics Framework

  • Understand exploratory, predictive and causal analytics
  • Learn to link analytics with strategy and business objectives
  • Develop strategic versus reactive analytics initiatives

How to Distinguish Good from Bad Analytics

  • Gain insight into what can and cannot be learned from the underlying data that is used to produce the analytics
  • Understand the data-generation process
  • Learn how to check for “junk science”
  • Study the four core questions of good data analytics

Creative Gaming Simulation

  • Run your own prediction using predictive analytics to understand how better data yield better predictions
  • Launch your own experiment utilizing an experimental methods framework
  • Understand how advanced machine learning and AI models generate business value

Growth and Scaling with Artificial Intelligence

  • Understand the AI ecosystem
  • Build AI teams
  • Understand advanced predictive analytics: machine learning and AI

How to Build Organizational Muscle in Analytics

  • Overcome barriers to scaling analytics
  • Learn how to manage and develop analytics talent
  • Develop a customer-centric view that guides analytics throughout your organization
  • Gain insight into how leading organizations create career paths for analytics talent

How to Apply Analytics to Your Business

  • Leverage action-learning projects for greater insight
  • Discover how successful organizations utilize data and analytics

Experts

Florian Zettelmeyer

Florian Zettelmeyer is the Nancy L. Ertle Professor of Marketing at the Kellogg School of Management at Northwestern University. He also founded and directs the Program on Data Analytics at Kellogg, the school's Big Data and Analytics initiative.  Prior to his appointment at Kellogg he was an As...

Eric Anderson

Eric T. Anderson is the Hartmarx Professor and former Chair of the Marketing Department at Northwestern University, Kellogg School of Management and Director of the Center for Global Marketing Practice.  He holds a Ph.D. in Management Science from MIT Sloan School of Management and previously hel...

Eric Leininger

Eric Leininger joined the Kellogg School faculty full time in September 2010, coming from McDonald's Corporation, where he was corporate senior vice president since 2004. He has been an affiliated faculty member since 1997. With Professor Gregory Carpenter, Eric leads The Kellogg Chief Marketing...

Steven Franconeri

Steven Franconeri is leading scientist, teacher, and speaker on visual thinking, visual communication, and the psychology of data visualization. He is a Professor of Psychology in the Weinberg College of Arts & Sciences at Northwestern, Director of the Northwestern Cognitive Science Program, ...

Thomas O'Toole

Thomas F. O'Toole is Clinical Professor of Marketing and Senior Fellow at the Kellogg School of Management of Northwestern University. At Kellogg, he is engaged in advancing the development, practice and teaching of subjects including: the development and use of data analytics for business advanc...

Kris Hammond

Education Ph.D. Computer Science, Yale University, New Haven, CT M.S. Computer Science, Yale University, New Haven, CT B.A. Philosophy, Yale University, New Haven, CT TedX Chicago: Humanizing the Machine with Language TedX Northwestern: Machine Consciousness AI at Northwestern: Partnerships ...

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Leading With Advanced Analytics and Artificial Intelligence at Kellogg School of Management

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