Upcoming Session
(1 of 1)

Status: Accepting Applications

Dates: 21 SEP–16 NOV 2023
Format: Virtual Synchronous learning at designated live online session times.
Fee: $6,250

The program fee covers tuition, e-books, and online case materials.

This program includes live online classes, self-paced work, discussion groups, and virtual networking. Download brochure for detailed schedule.

Admissions Criteria and Process

Apply

Download Brochure

Program Finder

Need Help? Contact Us:

Program Advising team

Email: executive_education@hbs.edu

Apply

Download Brochure

Program Finder

Need Help? Contact Us:

Program Advising team

Email: executive_education@hbs.edu

Summary

Artificial intelligence (AI) is revolutionizing the way today's businesses compete and operate. By putting AI and data at the center of their capabilities, companies are redefining how they create, capture, and share value—and are achieving impressive growth as a result. Whatever your industry or business model, you cannot afford to ignore this exciting, highly disruptive trend.

In this live online program, you will delve into new AI-based business models and operational approaches. As you explore a range of capabilities that can help your business succeed in today's data-driven environments, you will discover how you can lead your company's transformation into an AI-first leader. Along with learning how to unlock new growth potential, you will deepen your understanding of ethical challenges that come with leveraging massive amounts of data and sophisticated analytics.

This program is eligible for the Digital Transformation Certificate. Learn More

Summary

This program is eligible for the Digital Transformation Certificate. Learn More

Key Benefits

This online artificial intelligence course is a "how-to" guide that demystifies AI and its practical implications for business advantage. You will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; and learn how to build an AI factory that enables your company to compete successfully in existing and new markets. You will also analyze your organization's current business models and AI capabilities, identify new opportunities, and create specific plans for growth.

DetailsExpand All Collapse All

Move toward an AI-based business model Move toward an AI-based business model

Choose how best to apply AI in your industry and your business
Redesign key components of your organization and operating model
Lead the creation of algorithms, software infrastructure, data pipelines, and experimentation platforms
Guide your organization in the development of sophisticated data platforms and artificial intelligence capabilities and enable higher levels of automation
Ensure an ethical approach to AI and manage inherent risks

Create opportunities to build competitive advantage Create opportunities to build competitive advantage

Reimagine your company's value propositions to create new revenue streams
Redesign organizational systems, processes, and roles to be AI driven
Build the skills, capabilities, and culture to manage an AI-first operating model
Recognize and benefit from network effects and learning effects

Expand your personal and professional network Expand your personal and professional network

Extend your network by connecting and working with accomplished executives from various backgrounds, industries, and countries around the globe
Build relationships with a diverse group of peers who can provide wide-ranging insights into your business challenges and career decisions

Key Benefits

Details

Move toward an AI-based business model

Choose how best to apply AI in your industry and your business
Redesign key components of your organization and operating model
Lead the creation of algorithms, software infrastructure, data pipelines, and experimentation platforms
Guide your organization in the development of sophisticated data platforms and artificial intelligence capabilities and enable higher levels of automation
Ensure an ethical approach to AI and manage inherent risks

Create opportunities to build competitive advantage

Reimagine your company's value propositions to create new revenue streams
Redesign organizational systems, processes, and roles to be AI driven
Build the skills, capabilities, and culture to manage an AI-first operating model
Recognize and benefit from network effects and learning effects

Expand your personal and professional network

Extend your network by connecting and working with accomplished executives from various backgrounds, industries, and countries around the globe
Build relationships with a diverse group of peers who can provide wide-ranging insights into your business challenges and career decisions

Who Should Attend

Decision-makers, leaders, and individual contributors at both established companies and startups of any size, who are responsible for shaping their organization's AI, data analytics, or digital transformation strategy
Business and technology leaders and contributors who want to understand how they can deploy the latest AI tools to unlock new sources of strategic and operating value
Individuals in strategy-related roles including product management and development, digital and information technology operations, marketing, supply chain and operations, talent management, and more, who want to move toward an AI-first digital business and operating model
Digital officers, technology officers, and individuals building and launching data science and analytics

Attend with a team from your organization to foster fruitful collaboration and amplify the program's impact on your company's AI capabilities. This program is a strong fit for AI teams who want to bring strategic and operational insights to the C-suite, as well as for cross-functional teams charged with driving digital transformation through AI and platforms. Together, teams will develop a common set of frameworks, tools, and examples to bring back to their organizations and drive an AI-first culture.

Program for Leadership Development participants earn 2 PLDA Points on completion of this program.

Who Should Attend

Decision-makers, leaders, and individual contributors at both established companies and startups of any size, who are responsible for shaping their organization's AI, data analytics, or digital transformation strategy
Business and technology leaders and contributors who want to understand how they can deploy the latest AI tools to unlock new sources of strategic and operating value
Individuals in strategy-related roles including product management and development, digital and information technology operations, marketing, supply chain and operations, talent management, and more, who want to move toward an AI-first digital business and operating model
Digital officers, technology officers, and individuals building and launching data science and analytics

Program for Leadership Development participants earn 2 PLDA Points on completion of this program.

Leaders in Virtual Learning

When you participate in a virtual HBS Executive Education program, you benefit from a powerful learning experience carefully designed with a virtual setting in mind. Through live, synchronous program sessions you'll engage directly with our renowned faculty to learn from their latest research, gain actionable takeaways, and facilitate your growth. In addition, virtual discussion groups will connect you to a global group of peers and build your network.

Dive Deeper into the Experience

AI, Transformation, and the Management Challenge

Creating an architecture that supports an AI-enabled digital enterprise begins with the construct...

Learn More

Youngme Moon teaching in the HBSonline studio

Understanding the Benefits of Our Virtual Programs

Four participants of our live online programs share their experiences.

Read Their Stories

Leaders in Virtual Learning: When you participate in a virtual HBS Executive Education program, you benefit from a powerful learning experience carefully designed with a virtual setting in mind. Through live, synchronous program sessions you'll engage directly with our renowned faculty to learn from their latest research, gain actionable takeaways, and facilitate your growth. In addition, virtual discussion groups will connect you to a global group of peers and build your network.

Dive Deeper into the Experience

AI, Transformation, and the Management Challenge

Creating an architecture that supports an AI-enabled digital enterprise begins with the construct...

Learn More

Understanding the Benefits of Our Virtual Programs

Four participants of our live online programs share their experiences.

Read Their Stories

Admissions Criteria and Process

We admit candidates to specific sessions on a rolling, space-available basis, and encourage you to apply as early as possible. Although most programs have no formal educational requirements, admission is a selective process based on your professional achievement and organizational responsibilities.

Answering Your Questions

Our Program Advising team can help you at any stage of the admissions process—starting with identifying the program that best addresses your learning and development goals. Contact a program advisor via email or call 1.800.427.5577 (outside the U.S., call +1.617.495.6555).

Application Submission

We recommend that you apply at least four weeks before the program start date. You may use our online form or download an application. HBS maintains all application information in strict confidentiality. We acknowledge receipt of applications via email. In the unlikely event that you do not receive an acknowledgment, please email us at exed_admissions@hbs.edu or call us at +1.617.495.6226.

Application Review

To optimize the learning experience and maximize the exchange of ideas, our Admissions Committee makes selections that balance each participant's experience, scope of current responsibilities, and type of organization. HBS seeks candidates who reflect a broad range of industries, functions, countries, and backgrounds. We review applications monthly and will contact you via email with the Admissions Committee's decision.

Fee, Payment, and Cancellations

The program fee covers tuition, e-books, and online case materials. You will be invoiced upon admission to the program. Invoices are due within 30 days of receipt, or upon receipt if the program start date is less than 30 days from the invoice date. If you need to cancel or defer your participation, you must submit your request in writing more than 30 days before the start of the program to receive a full refund. Cancellation or deferral requests received 14 to 30 days prior to the start of the program are subject to a fee of one-half of the program fee. Requests received within 14 days are subject to full payment.

Admissions Criteria and Process

Answering Your Questions

Application Submission

Application Review

Fee, Payment, and Cancellations

What You Will Learn

What You Will Learn

Through a rich experience that includes live online sessions with faculty, new case studies, self-paced learning, small-group discussions, and insights from experts, you will discover how artificial intelligence is transforming today's businesses—and how your business can benefit. These lessons feature all new material developed by the faculty, and focus on leading companies such as Ant Financial and Moderna. This online artificial intelligence course releases AI from the black box and provides a blueprint to help all businesses—from startups to long-established companies—compete successfully and thrive in the age of AI.

This program is based on the findings summarized in the groundbreaking and critically acclaimed book Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World.

Program Format

Each week of the program includes one live online session (interactive case discussion, simulation, or expert panel) and three to five hours of self-paced learning and small-group discussions. Class sessions and discussions will take place via the Zoom platform. Carefully curated small groups of peers will facilitate learning, idea exchange, and networking throughout the course.

The program will also leverage an extensive network of analytics and AI mentors to help you contextualize and apply your learning. Collaborative learning is an integral part of this virtual experience. To maximize the benefit for everyone, participants are expected to attend every session, complete all assignments, and contribute effectively in the Zoom classroom and in small peer groups.

Participants should expect to spend at least 9-12 hours on self-paced case preparation prior to attending the program. Case materials will be made available approximately two weeks prior to program start.

Program Format

Key TopicsExpand All Collapse All

The age of AI The age of AI

Tracing digitization of the economy and the (re)emergence of AI
Understanding the impact of AI on business and operating models
Developing a framework for driving business and industry transformation
Evolving leadership in the era of AI
Exploring surprising uses of AI today

Network effects and learning effects Network effects and learning effects

Overcoming the challenge of developing strategy in today's AI landscape
Comparing AI-first firms to traditional product and/or service-based organizations
Implementing powerful innovation frameworks
Building network effects, using them to accelerate competitive advantage—and competing against them
Taking full advantage of learning effects as you scale your operations

The AI factory The AI factory

Developing a data pipeline to gather, clean, integrate, and safeguard data in a systematic, sustainable, and scalable way
Developing algorithms
Deploying personalization for maximum effectiveness
Using predictive modeling to anticipate future states or actions of the business
Testing hypotheses with an experimentation platform
Ensuring that your infrastructure supports key processes and connects them to both internal and external users

The AI-first company The AI-first company

Accruing the advantages of scale, scope, learning, and speed to innovate and go to market
Understanding how companies with an AI factory core deliver significant value to customers
Designing and implementing organizational and technological architectures needed to achieve success
Navigating the inherent challenges of AI and capturing strategic opportunities

Ethics of AI and data Ethics of AI and data

Building and scaling a responsible AI framework
Ensuring privacy and cybersecurity
Avoiding algorithmic bias
Managing risks related to inclusiveness and transparency

Driving organizational transformation Driving organizational transformation

Leading a new kind of digital transformation
Assessing your organization's AI readiness and maturity
Developing your AI-first Scorecard
Rearchitecting your operating model
Providing effective, unbiased service that protects consumers
Intensifying the value of data
Mitigating collisions between traditional and digital operating models

Key Topics

The age of AI

Tracing digitization of the economy and the (re)emergence of AI
Understanding the impact of AI on business and operating models
Developing a framework for driving business and industry transformation
Evolving leadership in the era of AI
Exploring surprising uses of AI today

Network effects and learning effects

Overcoming the challenge of developing strategy in today's AI landscape
Comparing AI-first firms to traditional product and/or service-based organizations
Implementing powerful innovation frameworks
Building network effects, using them to accelerate competitive advantage—and competing against them
Taking full advantage of learning effects as you scale your operations

The AI factory

Developing a data pipeline to gather, clean, integrate, and safeguard data in a systematic, sustainable, and scalable way
Developing algorithms
Deploying personalization for maximum effectiveness
Using predictive modeling to anticipate future states or actions of the business
Testing hypotheses with an experimentation platform
Ensuring that your infrastructure supports key processes and connects them to both internal and external users

The AI-first company

Accruing the advantages of scale, scope, learning, and speed to innovate and go to market
Understanding how companies with an AI factory core deliver significant value to customers
Designing and implementing organizational and technological architectures needed to achieve success
Navigating the inherent challenges of AI and capturing strategic opportunities

Ethics of AI and data

Building and scaling a responsible AI framework
Ensuring privacy and cybersecurity
Avoiding algorithmic bias
Managing risks related to inclusiveness and transparency

Driving organizational transformation

Leading a new kind of digital transformation
Assessing your organization's AI readiness and maturity
Developing your AI-first Scorecard
Rearchitecting your operating model
Providing effective, unbiased service that protects consumers
Intensifying the value of data
Mitigating collisions between traditional and digital operating models

Special Program FeaturesExpand All Collapse All

AI Application Deep Dives AI Application Deep Dives

HBS faculty will curate interactive cases and panels with industry experts that examine the wide range of AI applications being put into use in today's enterprises. You will have the opportunity to choose at least two of these live sessions, and the remaining sessions will be available to view asynchronously.

AI Readiness Survey AI Readiness Survey

You will evaluate your own organization's AI readiness and learn how your organization compares with other firms in similar industries and geographies. The survey serves as a research tool, a diagnostic tool, and a benchmark tool. You will review survey results with peers and faculty.

Special Program Features

AI Application Deep Dives

AI Readiness Survey

The HBS Advantage

Our Executive Education programs are developed and taught by HBS faculty who are widely recognized as skilled educators, groundbreaking researchers, and award-winning authors. Through their board memberships, consulting, and field-based research, they address the complex challenges facing business leaders across the globe.

Faculty Chair

Karim R. Lakhani

Dorothy and Michael Hintze Professor of Business Administration

HBS Unit:

Technology and Operations Management

Read Full Bio

Faculty

Eva Ascarza

Jakurski Family Associate Professor of Business Administration

HBS Unit:

Marketing

Read Full Bio

Iavor I. Bojinov

Assistant Professor of Business Administration Richard Hodgson Fellow

HBS Unit:

Technology and Operations Management

Read Full Bio

Fabrizio Dell’Acqua

Harvard University:

Postdoctoral Fellow, Laboratory for Innovation Science

Read Full Bio

Rana el Kaliouby

Executive Fellow

Read Full Bio

Himabindu Lakkaraju

Assistant Professor of Business Administration

HBS Unit:

Technology and Operations Management

Read Full Bio

Antonio Moreno

Sicupira Family Associate Professor of Business Administration

HBS Unit:

Technology and Operations Management

Read Full Bio

The HBS Advantage: Our Executive Education programs are developed and taught by HBS faculty who are widely recognized as skilled educators, groundbreaking researchers, and award-winning authors. Through their board memberships, consulting, and field-based research, they address the complex challenges facing business leaders across the globe.

Faculty Chair

Karim R. Lakhani

Dorothy and Michael Hintze Professor of Business Administration

HBS Unit:

Technology and Operations Management

Read Full Bio

Faculty

Eva Ascarza

Jakurski Family Associate Professor of Business Administration

HBS Unit:

Marketing

Read Full Bio

Iavor I. Bojinov

Assistant Professor of Business Administration Richard Hodgson Fellow

HBS Unit:

Technology and Operations Management

Read Full Bio

Fabrizio Dell’Acqua

Harvard University:

Postdoctoral Fellow, Laboratory for Innovation Science

Read Full Bio

Rana el Kaliouby

Executive Fellow

Read Full Bio

Himabindu Lakkaraju

Assistant Professor of Business Administration

HBS Unit:

Technology and Operations Management

Read Full Bio

Antonio Moreno

Sicupira Family Associate Professor of Business Administration

HBS Unit:

Technology and Operations Management

Read Full Bio

Your Peers Expand Your Learning

Global Perspective

Experience the world in your classroom.

Global Perspective

Experience the world in your classroom.

Africa

11%

Asia Pacific

28%

Europe

Latin America

Middle East

46%

North America

3%Africa

11%Asia Pacific

28%Europe

8%Latin America

4%Middle East

46%North America

Top Industries Represented

Insights from a range of industries ignite your thinking.

24%

Consumer Products

16%

Financial

14%

High Technology

Professional Services

Nonprofit Services

Health Care

Chem / Pharma / Bio

Retail Services

Real Estate / Construction

Manufacturing

Top Industries Represented

Insights from a range of industries ignite your thinking.

24%

Consumer Products

16%

Financial

14%

High Technology

Professional Services

Nonprofit Services

Health Care

Chem / Pharma / Bio

Retail Services

Real Estate / Construction

Manufacturing

Experience

Years Worked

Experience

Years Worked

Less than 10 yearsLess than 10 years

10-14 years10-14 years

15-19 years15-19 years

20-24 years20-24 years

25-29 years25-29 years

30-34 years30-34 years

35-39 years35-39 years

40 or more40 or more

Less than 10 yearsLess than 10 years

10-14 years10-14 years

15-19 years15-19 years

20-24 years20-24 years

25-29 years25-29 years

30-34 years30-34 years

35-39 years35-39 years

40 or more40 or more

Participating Companies Have Included:

Procter & Gamble

Citi

Facebook

Google

Gucci

General Motors

L'ORÉAL

Nike, Inc

Novartis

Siemens

Your Peers Expand Your Learning: Global Perspective

Experience the world in your classroom.

Global Perspective

Experience the world in your classroom.

3%

Africa

11%

Asia Pacific

28%

Europe

8%

Latin America

4%

Middle East

46%

North America

3%Africa

11%Asia Pacific

28%Europe

8%Latin America

4%Middle East

46%North America

Top Industries Represented

Insights from a range of industries ignite your thinking.

Insights from a range of industries ignite your thinking.

24%

Consumer Products

16%

Financial

14%

High Technology

9%

Professional Services

4%

Nonprofit Services

4%

Health Care

3%

Chem / Pharma / Bio

3%

Retail Services

2%

Real Estate / Construction

2%

Manufacturing

Top Industries Represented

Insights from a range of industries ignite your thinking.

24%

Consumer Products

16%

Financial

14%

High Technology

9%

Professional Services

4%

Nonprofit Services

4%

Health Care

3%

Chem / Pharma / Bio

3%

Retail Services

2%

Real Estate / Construction

2%

Manufacturing

Experience

Experience

Years Worked

Years Worked

Experience

Years Worked

Less than 10 yearsLess than 10 years

10-14 years10-14 years

15-19 years15-19 years

20-24 years20-24 years

25-29 years25-29 years

30-34 years30-34 years

35-39 years35-39 years

40 or more40 or more

Less than 10 yearsLess than 10 years

10-14 years10-14 years

15-19 years15-19 years

20-24 years20-24 years

25-29 years25-29 years

30-34 years30-34 years

35-39 years35-39 years

40 or more40 or more

Participating Companies Have Included:

Procter & Gamble

Citi

Facebook

Google

Gucci

General Motors

L'ORÉAL

Nike, Inc

Novartis

Siemens

Apply Download Brochure

More Admissions Information

Comprehensive Leadership Programs

Topic-Focused Programs

Regional Programs

Virtual Programs

Certificate of Management Excellence

Corporate Director Certificate

Digital Transformation Certificate

The Value

The Learning Experience

The Virtual Experience

Alumni Network

Admitted? Plan Your Stay

Insights

Admissions Requirements

Admissions Process

International Applicants

Payment, Cancellation, and Deferral

Already Admitted

Competing in the Age of AI—Virtual

Summary

Summary

DetailsExpand AllCollapse All

Move toward an AI-based business modelMove toward an AI-based business model Dropdown down

Create opportunities to build competitive advantageCreate opportunities to build competitive advantage Dropdown down

Expand your personal and professional networkExpand your personal and professional network Dropdown down

Move toward an AI-based business model

Create opportunities to build competitive advantage

Expand your personal and professional network

Who Should Attend

Leaders in Virtual Learning

Leaders in Virtual Learning

Admissions Criteria and Process

Answering Your Questions

Application Submission

Application Review

Fee, Payment, and Cancellations

Answering Your Questions

Application Submission

Application Review

Fee, Payment, and Cancellations

What You Will Learn

What You Will Learn

Program Format

Program Format

Key TopicsExpand AllCollapse All

The age of AIThe age of AI Dropdown down

Network effects and learning effectsNetwork effects and learning effects Dropdown down

The AI factoryThe AI factory Dropdown down

The AI-first companyThe AI-first company Dropdown down

Ethics of AI and dataEthics of AI and data Dropdown down

Driving organizational transformation Driving organizational transformation Dropdown down

The age of AI

Network effects and learning effects

The AI factory

The AI-first company

Ethics of AI and data

Driving organizational transformation

Special Program FeaturesExpand AllCollapse All

AI Application Deep DivesAI Application Deep Dives Dropdown down

AI Readiness SurveyAI Readiness Survey Dropdown down

AI Application Deep Dives

AI Readiness Survey

The HBS Advantage

The HBS Advantage

Your Peers Expand Your Learning

Your Peers Expand Your Learning

DetailsExpand All Collapse All

Move toward an AI-based business model Move toward an AI-based business model

Create opportunities to build competitive advantage Create opportunities to build competitive advantage

Expand your personal and professional network Expand your personal and professional network

Key TopicsExpand All Collapse All

The age of AI The age of AI

Network effects and learning effects Network effects and learning effects

The AI factory The AI factory

The AI-first company The AI-first company

Ethics of AI and data Ethics of AI and data

Driving organizational transformation Driving organizational transformation

Special Program FeaturesExpand All Collapse All

AI Application Deep Dives AI Application Deep Dives

AI Readiness Survey AI Readiness Survey