EXECUTIVE EDUCATION

AI Applications for Growth

Start Building

Your AI Strategy

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Course Dates

STARTS ON

June 24, 2021

Course Duration

DURATION

2 months, online
4-6 hours per week

Course Duration

Limited Time Offer!

US$2,900 US$2,250

Gain Business Confidence in AI

Trusting that Artificial Intelligence can live up to its hype requires you to become comfortable with advancements such as the cloud and big data. It also requires you to gain confidence that AI can deliver competitive advantages. This program will lead you to breakthrough thinking about AI’s capabilities, so you and your company can thrive in the era of AI.

Develop Your AI Playbook

Gain a comprehensive perspective on how AI is being applied in practice. Build a robust playbook that helps you frame AI initiatives, identify the most impactful business problems, map your AI Journey, and drive responsible outcomes.

AI RADAR Map enterprise wide opportunities for AI initiatives and surface initiatives with the greatest likely business impact

AI CANVAS Apply our recommended 7-step approach to frame and communicate critical aspects of an AI initiative

AI CAPABILITY MATURITY MODEL Learn and apply the AI Capability Maturity Model to develop enterprise AI capabilities in a phased and systematic manner

SIX PRINCIPLES OF RESPONSIBLE AI Understand the principles of Responsible AI and how to govern AI projects to drive responsible and ethical outcomes

Key Takeaways

To help you understand Artificial Intelligence as the most important commercial opportunity of our lifetime and the potential it offers to your company, this program provides frameworks to help you build an effective AI implementation plan. By the end of this program, you will be able to do the following:

  • Understand the business applications and outcomes that can be achieved with AI.
  • Represent the voice of the business as well as the customer to data scientists and engineers.
  • Craft your AI journey, from strategy and capabilities to execution and organization.
  • Navigate the black box and ethical considerations of Artificial Intelligence to drive responsible AI initiatives.
  • Join a community of like-minded professionals who are successfully deploying AI in their organizations.

Who Is This Program For?

This online program is designed to prepare experienced executives, managers, and consultants to implement AI across enterprise functions. It is also an ideal curriculum for investors seeking a deeper understanding of AI. Past participants of this program include:

C-Level Executives who seek to drive innovative AI initiatives for their organizations by learning more about AI trends, AI use cases, industry applications of AI, and AI strategy and best practices. Representative roles include:

  • President/CEO
  • Partner
  • Chairman
  • Managing Director
  • Division President
  • Senior Vice President
  • Chief Financial Officer
  • Chief Technology Officer
  • Chief Learning Officer
  • Chief Strategy Officer
  • Chief Operating Officer
  • Managing Partner

Senior Managers in Sales & Marketing charged with driving marketing outcomes and advancing the organization’s transformation initiatives using data, analytics, and AI. Participants have 11+ years of experience and are focused on how AI can impact the customer journey, as well as AI’s broader commercial applications. Representative roles include:

  • Business Development Director
  • Chief Marketing Officer
  • Vice President, Marketing
  • Director of Product Marketing
  • Business Development Manager
  • Director of Strategic Products and Services
  • Customer Engagement Manager
  • Project Manager
  • Program Manager
  • Product Manager

Senior Technology Managers with 10+ years of experience in IT products and services, healthcare technology, or banking and financial services looking for a strategic perspective on AI to innovative operational processes and learn how AI can transform the business side of their enterprise. Representative roles include:

  • Director
  • Senior Manager
  • Enterprise Architect
  • Vice President, Technology & Innovation
  • Solutions Specialist

Senior Management Consultants & IT Consultants who advise clients on digital transformation, business excellence, and operational transformation seeking to stay current with the AI revolution in order to make more innovative recommendations to their clients in IT and the banking and financial services industry. Representative roles include:

  • Director
  • CEO
  • Principle Consultant
  • Managing Partner
  • Senior Consultant
  • Strategy Manager

Program Topics

In this online program, you will gain a comprehensive perspective on how Artificial Intelligence is being used in practice across organizations, enterprise functions, and an array of industries. In addition, you will learn how to implement an AI initiative and learn to address challenges related to responsible and trusted AI.

Module 1:

The AI Revolution: Trends, Tools, and Applications

Kickstarting your exploration of AI, you will learn why it is at an inflection point along with its fundamentals, machine learning, and deep learning. You will identify key players in the Artificial Intelligence ecosystem and explore the 7-step process for framing an AI initiative with AI Canvas.

Module 2:

AI and Customer Experience Management

Gain an understanding of the Customer Experience DNA (CxDNA) framework to identify use cases for AI across the customer journey. In addition, you will learn how AI is being used to create demand, enable sales, and drive customer service. This module will also offer insights on how to analyze customer segments, conversion rate optimization, and customer churn using the KNIME analytics platform.

Module 3:

AI and Operations Management

Explore how AI can be used to optimize your assets as well as operating processes to increase agility, reduce operating costs, enhance quality, and improve safety. In this module, you will also learn about the use cases and Jobs to be Done for AI across 5 stages in the operations ecosystem: sourcing, making, storing, routing, and delivering products and services.

Module 4:

AI and Business Support Functions

Learn how AI is being used to transform key business support functions: human resource management, financial management, IT systems management, and risk management. You will study a broad range of use cases, including candidate screening, collections management, code development, and fraud prevention, all driven by AI.

Module 5:

AI Applications in Select Industries

Discover how to “verticalize” AI applications to your industry by creating a vertical blueprint for AI in your business and apply this verticalization approach to the healthcare industry and BFSI. You will learn from real-world cases and apply assisted intelligence to hospital readmission, bank fraud, as well as underwriting.

Module 6:

AI Applications in Autonomous Vehicles and Transportation

As you learn about the evolution of autonomous vehicles and the levels of autonomy, you will understand how to use the AV Efficient Frontier framework to define the appropriate level of autonomy for a specific use case. You will also become aware of the ethical and regulatory challenges in commercializing autonomous vehicles along with the use cases for AI for the autonomous transportation of people and cargo by land, sea, and air.

Module 7:

Transforming Your Business with AI: Strategy and Capabilities

Synthesize your learning to create an Artificial Intelligence strategy for your organization and understand where to focus your AI use cases by applying the AI Radar to your company. You will explore the capabilities your organization needs for AI-led business transformation using the AI Capability Maturity model and discover how organizations evolve in the direction of Zero Touch Enterprises.

Module 8:

Transforming Your Business with AI: Organization and Society

Find out why business leaders need to drive Artificial Intelligence strategy, how to design the optimal AI organization for your company, and the roles and skills needed in AI teams. You will learn how to adapt agile methodologies for AI projects, principles of Responsible AI, and ways to govern AI projects to drive responsible and ethical outcomes for your business and society.

Module 1:

The AI Revolution: Trends, Tools, and Applications

Kickstarting your exploration of AI, you will learn why it is at an inflection point along with its fundamentals, machine learning, and deep learning. You will identify key players in the Artificial Intelligence ecosystem and explore the 7-step process for framing an AI initiative with AI Canvas.

Module 5:

AI Applications in Select Industries

Discover how to “verticalize” AI applications to your industry by creating a vertical blueprint for AI in your business and apply this verticalization approach to the healthcare industry and BFSI. You will learn from real-world cases and apply assisted intelligence to hospital readmission, bank fraud, as well as underwriting.

Module 2:

AI and Customer Experience Management

Gain an understanding of the Customer Experience DNA (CxDNA) framework to identify use cases for AI across the customer journey. In addition, you will learn how AI is being used to create demand, enable sales, and drive customer service. This module will also offer insights on how to analyze customer segments, conversion rate optimization, and customer churn using the KNIME analytics platform.

Module 6:

AI Applications in Autonomous Vehicles and Transportation

As you learn about the evolution of autonomous vehicles and the levels of autonomy, you will understand how to use the AV Efficient Frontier framework to define the appropriate level of autonomy for a specific use case. You will also become aware of the ethical and regulatory challenges in commercializing autonomous vehicles along with the use cases for AI for the autonomous transportation of people and cargo by land, sea, and air.

Module 3:

AI and Operations Management

Explore how AI can be used to optimize your assets as well as operating processes to increase agility, reduce operating costs, enhance quality, and improve safety. In this module, you will also learn about the use cases and Jobs to be Done for AI across 5 stages in the operations ecosystem: sourcing, making, storing, routing, and delivering products and services.

Module 7:

Transforming Your Business with AI: Strategy and Capabilities

Synthesize your learning to create an Artificial Intelligence strategy for your organization and understand where to focus your AI use cases by applying the AI Radar to your company. You will explore the capabilities your organization needs for AI-led business transformation using the AI Capability Maturity model and discover how organizations evolve in the direction of Zero Touch Enterprises.

Module 4:

AI and Business Support Functions

Learn how AI is being used to transform key business support functions: human resource management, financial management, IT systems management, and risk management. You will study a broad range of use cases, including candidate screening, collections management, code development, and fraud prevention, all driven by AI.

Module 8:

Transforming Your Business with AI: Organization and Society

Find out why business leaders need to drive Artificial Intelligence strategy, how to design the optimal AI organization for your company, and the roles and skills needed in AI teams. You will learn how to adapt agile methodologies for AI projects, principles of Responsible AI, and ways to govern AI projects to drive responsible and ethical outcomes for your business and society.

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Program Experience

Decorative image relating to Live Faculty Teaching Sessions

Live Faculty Teaching Sessions

Decorative image relating to Real-World Application

Real-World Application

Decorative image relating to More than 50 Business Use Cases

More than 50 Business Use Cases

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Practical Frameworks to Drive AI Strategy

Industry Examples

The program features more than 50 use cases across industries, covering the creative use of AI by a range of platform companies, enterprise companies, and startups. Some featured use cases include :

Logo for Microsoft

Microsoft

Explore a variety of AI applications from Microsoft including the use of AI to improve agricultural yield, automate key business processes, and for dynamic preventative maintenance.

 Logo for Infosys

Infosys

Healthcare fraud and claims overpayments in the U.S. is a $100 billion industry. It poses a significant challenge to the payer industry, which incurs billions of dollars to identify and recover this leakage. Some of this cost is also passed to the patient population, leading directly to increased cost. Explore how Infosys partnered with a healthcare company to reduce overpayments fraud using ML techniques.

 Logo for Fooda

Fooda

Order-up! Matching just 15 restaurants with 15 locations results in 1 trillion combinations everyday, making it incredibly complex to optimize which restaurant to send to which location with how much food. Fooda-AI does such scheduling-at-scale for thousands of restaurant partners at thousands of events every month.

Logo for Teradata

Teradata

Explore how Teradata and Danske Bank collaborated to design a fraud detection model that innovatively combined ML and DL approaches to generate superior results

Note: All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Participant Testimonials

“Easy to understand content and methodology, reinforced by real-world use cases.”

— Glenn J. Hoormann, Executive Vice President, eAlliance Corp., Chicago

“Detailed program for the users of AI, rather than data scientists.”

— Diana Gogitidze, Risk Management Leader, Mashreq Bank, Dubai

“Concrete steps to follow to go about creating an AI use case within any organization.”

— Katie Corcoran, Business Performance & Analytics Manager, The McDonald’s Division, Coca-Cola Co., Chicago

“Offers 360° thinking about AI and its implementation in your organization.”

— Raviindra Kirpane, Global Technology Leader, LRN, Mumbai

“The verticalization blueprint brought a lot of value and gave us real tools we can use in our organization.”

— Sanjeev Sethi, President/Founder, InFarSight, New Jersey

Program Faculty

MOHANBIR SAWHNEY

Associate Dean for Digital Innovation; McCormick Foundation Chair of Technology; Clinical Professor of Marketing; Director of the Center for Research in Technology and Innovation

Professor Sawhney is a globally recognized scholar, consultant, and speaker in innovation, modern marketing, and enterprise analytics.... More info

Faculty Member VARUN PODDAR

VARUN PODDAR

Adjunct Lecturer, Kellogg School of Management

Varun has worked at the intersection of technology, data and advanced analytics for 20 years. His experiences have ranged from driving digital strategy at Accenture to building machine learning products and leading customer success at start-ups... More info

Certificate

Example image of certificate that will be awarded after successful completion of this program

Certificate

Upon successful completion of the program, Kellogg Executive Education grants a verified digital certificate of completion to participants.This program is graded as a pass or fail; participants must receive 80% to pass and obtain the certificate of completion.

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After successful completion of the program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Kellogg Executive Education.

Note: This online certificate program does not grant academic credit or a degree from Kellogg School of Management.

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