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.
November 10, 2021
2 months, online
4-6 hours per week
US$2,600 or get US$260 off with a referral
Special pricing up to 20% discount is available if you enroll with your colleagues. Please send an email to group-enrollments@emeritus.org for more information.
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
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:
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:
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:
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 innovate operational processes and learn how AI can transform the business side of their enterprise. Representative roles include:
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Live Faculty Teaching Sessions
Real-World Application
More than 50 Business Use Cases
Practical Frameworks to Drive AI Strategy
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 :
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.
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.
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.
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.
MOHANBIR SAWHNEY
VARUN PODDAR
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, teacher, consultant, and speaker in business innovation, modern marketing, and enterprise analytics. He has written seven management books, as well as dozens of influential articles in leading academic journals and managerial publications. His most recent book, The Sentient Enterprise: The Evolution of Business Decision Making, was published in October 2017 and was on The Wall Street Journal bestseller list. He has also written a book of poetry called Love, Longing and Loneliness in 2014.
Professor Sawhney’s research has been published in leading journals such as California Management Review, Harvard Business Review, Journal of Interactive Marketing, Management Science, Marketing Science, MIT Sloan Management Review, and Journal of the Academy of Marketing Science. He is a frequent contributor to publications such as Fortune, Forbes, and Financial Times.
Professor Sawhney’s speaking and consulting clients include Accenture, Adobe Systems, AT&T, Boeing, Cisco Systems, Dell, DuPont, Entergy, Ericsson, Fidelity Investments, GE, General Mills, Goldman Sachs, Honeywell, Intuit, Jenner & Block, Jones Lang LaSalle, Johnson & Johnson, Kellogg Company, McDonald’s, Microsoft, Nissan Motor, Raytheon Missile Systems, Rockwell Automation, SAP, Sony, Teradata, and Textron Inc.
Professor Sawhney holds a Ph.D. in Marketing from the Wharton School of the University of Pennsylvania; an MBA from the Indian Institute of Management, Calcutta; and a Bachelor’s degree in Electrical Engineering from the Indian Institute of Technology, New Delhi.
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. He and Mohanbir Sawhney have partnered to research, develop and create AI-specific strategic frameworks and case studies for this program. Varun holds a BS in Operations/Information Systems from Purdue, MBA in Strategy/Analytics from Kellogg School of Management and MEM in Design Thinking from McCormick School of Engineering. He also has certifications in Data Science and Microsoft Azure AI Services.
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.
Preview Program For FreeAfter 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.
Flexible payment options available.