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.
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.
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.
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
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.
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, analytics, and AI teams who want to bring strategic and operational insights
to the C-suite
Cross-functional teams charged with driving digital transformation through AI and
platforms, who need a common set of frameworks, tools, and examples
Attendance by multiple company representatives will foster teamwork and amplify the
program's impact.
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, analytics, and AI teams who want to bring strategic and operational insights
to the C-suite
Cross-functional teams charged with driving digital transformation through AI and
platforms, who need a common set of frameworks, tools, and examples
Attendance by multiple company representatives will foster teamwork and amplify the
program's impact.
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.
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.
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.
Application Deadline
SEP 2022 session application due: 15 SEP 2022
Applications submitted after the due date will be considered on an individual basis
and may not be processed in time to grant admission.
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.
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.
Application Deadline
SEP 2022 session application due: 15 SEP 2022
Applications submitted after the due date will be considered on an individual basis
and may not be processed in time to grant admission.
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.
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.
Led by Professors Marco Iansiti and Karim Lakhani, this program is based on the findings
summarized in their 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.
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.
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.
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.
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
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.
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.
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.
Program content, dates, schedule, fees, technology platforms, and faculty are subject
to change. In accordance with Harvard University policy, Harvard Business School
does not discriminate against any person on the basis of race, color, sex or sexual
orientation, gender identity, religion, age, national or ethnic origin, political
beliefs, veteran status, or disability in admission to, access to, treatment in, or
employment in its programs and activities.
