The Business of AI

Illuminate the real business value of AI

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Course Dates

STARTS ON

2 February 2022

Course Duration

DURATION

10 weeks, online
3-5 hours per week

Course Duration

PROGRAMME FEE

US$1,950 or get US$195 off with a referral

Course Information Flexible payment available
Course Information Special group enrolment pricing

Welcome

To claim your US$195 programme fee coupon for The Business of AI, please complete the information form.

Note: This programme includes 5 weeks of online learning, followed by the 30-day AI implementation plan.

Transform your business with AI

Artificial intelligence (AI) isn’t “just another technology.” It is the most important digital technology for global business transformation, and perhaps the one with the most significant overall business impact. AI can be used to revolutionise cost function and enable radically new business, but this requires a sound understanding of both your organisation and technology. Our programme – The Business of AI – will help you build the capabilities to make smart decisions about AI and create real value for your business.

60%

of companies embedded at least one AI capability in one or more functions or business units in 2019, a 35% increase over 2018.

SOURCE: 2019 MCKINSEY GLOBAL AI SURVEY

75%

of enterprises will shift from piloting to operationalising AI by the end of 2024, driving a 5X increase in streaming data and analytics infrastructures.

SOURCE: GARTNER TOP 10 TRENDS IN DATA AND ANALYTICS FOR 2020

78%

of AI-at-scale leaders say that the pace of progress on their AI initiatives has remained steady through the global pandemic.

SOURCE: 2020 CAPGEMINI SURVEY: AI-POWERED ENTERPRISE: UNLOCKING THE POTENTIAL OF AI AT SCALE

Right for you

This programme is designed for managers and executives responsible for making business decisions about the adoption and use of AI technologies from a general management perspective. Those who will benefit may include:

  • C-suite executives and senior leaders looking to stay updated on current technology trends, understand the different applications of AI and how to implement it in their business to reduce costs and improve outcomes
  • Mid- to senior-level functional managers seeking to learn how AI can help improve performance within their functional area and have meaningful conversations with technology experts on outcome expectations
  • Product and technology managers who want to create and release an AI-based product, hire and train a team for AI product development and understand the business implications of using AI so they can propose new projects to senior management.
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What you learn

Throughout the three phases of this programme, you’ll gain a solid understanding of the characteristics of the technology and then work to gain clarity regarding your business challenge and your data source, so you can select the appropriate AI technologies to connect the two.

Module 1/Week 1:

The business value of AI

Explore the value of artificial intelligence (AI) and learn about its possibilities and constraints as well as the practical challenges and broader implications of AI and machine learning (ML).

Module 2/Week 2:

What are AI and machine learning?

Learn the language of AI and understand what AI actually does so that you can ask the right questions, have effective conversations and gather the insights needed to make well-informed decisions about its application.

Module 3/Week 3:

The possibilities of AI

Review and understand several in-depth, real-world case studies that examine the application of AI and ML to create value across various sectors. This intensive overview will serve as a basis for developing an action plan for your organisation.​

Module 4/Week 4:

Leveraging AI to create value

Examine positive and negative experiences you may encounter as you persuade your organisation to apply AI, and learn to anticipate and prevent potential problems, overcome obstacles, execute AI projects effectively and deliver results.

Module 5/Week 5:

Building AI capability

Explore what it takes to experiment with AI and develop the knowledge and confidence to work in partnership with specialists to scale it as an enterprise-wide capability. Learn how to think about data as an asset for your organisation in the long term.

Module 1/Week 1:

The business value of AI

Explore the value of artificial intelligence (AI) and learn about its possibilities and constraints as well as the practical challenges and broader implications of AI and machine learning (ML).

Module 4/Week 4:

Leveraging AI to create value

Examine positive and negative experiences you may encounter as you persuade your organisation to apply AI, and learn to anticipate and prevent potential problems, overcome obstacles, execute AI projects effectively and deliver results.

Module 2/Week 2:

What are AI and machine learning?

Learn the language of AI and understand what AI actually does so that you can ask the right questions, have effective conversations and gather the insights needed to make well-informed decisions about its application.

Module 5/Week 5:

Building AI capability

Explore what it takes to experiment with AI and develop the knowledge and confidence to work in partnership with specialists to scale it as an enterprise-wide capability. Learn how to think about data as an asset for your organisation in the long term.

Module 3/Week 3:

The possibilities of AI

Review and understand several in-depth, real-world case studies that examine the application of AI and ML to create value across various sectors. This intensive overview will serve as a basis for developing an action plan for your organisation.​

Phase II

AI implementation plan: make it real (30 days)

As part of the challenge you will:

  • Create and submit an executive summary of your AI implementation plan to your learning manager
  • Receive feedback via a live online clinic with your learning manager in a small-group setting
  • Present your plan to your organisation via your executive summary
  • Participate in a final debrief with faculty, where the top three proposals will be recognised with an AI achievement award. The faculty will also offer insights on the traits of AI proposals that lead to success, as well as those prone to failure.

Phase III

Ongoing implementation support (180 days)

Receive six months of ongoing communication and resources in the form of curated emails designed to encourage the continued success of your AI implementation plan.

Good for you

  • Learn to communicate effectively with business stakeholders with a solid understanding of the advantages and limitations of AI and ML in business settings
  • Increase your professional value and become an in-demand leader with the rare ability to connect this powerful technology to business value and results
  • Explore real-life examples of how the global nature of the economy has allowed AI to connect businesses around the world and deliver value across diverse applications
  • Determine how you can leverage AI and ML to create value for your business.
  • Develop your AI expertise through the process of creating, refining and presenting your AI implementation plan.

Good for your organisation

  • Build and scale practical and pragmatic AI capability across your organisation and gain long-term competitive advantage
  • Avoid common pitfalls of AI and ML implementation by learning to predict and mitigate strategic and operational challenges and risks
  • Compete effectively with “born-digital” businesses and transition to a more efficient, agile, creative and innovative business model
  • Develop leaders who can help you make the most effective use of these technologies and deliver value to your organisation
  • Get insights on AI proposals prone to success and failure through a final faculty debrief during the AI implementation plan.

How you learn

Live interactive sessions with faculty and learning managers make this far from a one-way learning experience. Our online format also includes recorded video lectures, moderated discussions with learning managers, and other engaging digital content.

  • Build a playbook throughout the programme to help put your learnings into context
  • Complete the first five modules over five weeks, then shift into implementation mode with the AI implementation plan and gain support and guidance for integrating AI capabilities in your organisation
  • Learn from world-class faculty, including globally renowned thought-leader Michael Davis, and other leading London Business School professors through collaborative activities and experience engaging delivery in a digital classroom
  • Gain sharp insights and new perspectives as you learn from and with your peers in the AI implementation plan.
"Early evidence shows that businesses who are leaders in making effective use of digital technologies—AI and machine learning in particular — outperform those that don’t. The pandemic has made this even clearer, as the businesses that continued to thrive as it began were the ones already set up to make effective use of these technologies."

— Michael Davies,
Guest Lecturer, Strategy and Entrepreneurship

Experts in the field

Be inspired by our world-leading academics and thought leaders on digital transformation in business, data science and AI

Profile picture of course faculty Michael Davies

Michael Davies

Guest Lecturer, Strategy and Entrepreneurship

Michael Davies is the Founder and Chairman of Endeavour Partners, a Senior Lecturer at Massachusetts Institute of Technology, and runs the New Technology Ventures Program at London Business School. He works with leaders in technology to anticipate the future, navigate the resulting challenges and opportunities and enable them to drive innovation. More info

Profile picture of course faculty Nicos Savva

Nicos Savva

Professor of Management Science and Operations

Professor Nicos Savva is an expert in data science and uses it to solve operational problems and help large organisations develop data-science capabilities. His current research focuses on hospital operations and healthcare management. His research has appeared in leading journals such as Management Science, M&SOM, Production & Operations Management, and Nature Biotechnology. He is an Associate Editor of Management Science, M&SOM and senior editor of Production & Operations Management. More info

Profile picture of course faculty Keyvan Vakili

Keyvan Vakili

Associate Professor of Strategy and Entrepreneurship

Professor Keyvan Vakili’s research focuses on how the technological and institutional contexts in which individuals and firms operate shape the characteristics of business innovations in terms of novelty and impact. Before joining academia, Professor Vakili founded a video game production company, which he sold to Samsung three years later. Professor Keyvan Vakili is a strategy scholar interested in the antecedents of innovation and collaboration within creative settings. More info

Profile picture of course faculty Michael Davies

Michael Davies

Guest Lecturer, Strategy and Entrepreneurship

Michael Davies is the Founder and Chairman of Endeavour Partners, a Senior Lecturer at Massachusetts Institute of Technology, and runs the New Technology Ventures Program at London Business School. He works with leaders in technology to anticipate the future, navigate the resulting challenges and opportunities and enable them to drive innovation.

Michael has deep business and technology expertise in mobile and digital domains. He is an expert in technology and business ecosystems, competition and collaboration and the management innovation. Prior to founding Endeavour Partners, Michael held executive and strategic advisory roles with leading firms including Boston Consulting Group, BellSouth International, Braxton Associates, GeoPartners Research and Mars Electronics. He has also been an entrepreneur, including pioneering the first global system for a mobile communication business outside Europe and the first personal digital assistant with digital connectivity (a predecessor to the modern smartphone).

He holds an MBA from London Business School, and master’s degrees in engineering from the University of Cambridge and the University of Durham.

Profile picture of course faculty Nicos Savva

Nicos Savva

Professor of Management Science and Operations

Professor Nicos Savva is an expert in data science and uses it to solve operational problems and help large organisations develop data-science capabilities. His current research focuses on hospital operations and healthcare management. His research has appeared in leading journals such as Management Science, M&SOM, Production & Operations Management, and Nature Biotechnology. He is an Associate Editor of Management Science, M&SOM and senior editor of Production & Operations Management.

Professor Savva holds an honorary appointment at Guy’s and St Thomas’ NHS Foundation trust, a large hospital system based in London, and has acted as a consultant to hospitals, biotech companies, high-tech start-ups, retail firms and a hedge fund. He has also taught at The Wharton School, Columbia GSB, and at Judge Business School, University of Cambridge. He holds a PhD in Management Science, an MPhil in Finance (Financial Engineering) and a BA in Physics, all from the University of Cambridge.

Profile picture of course faculty Keyvan Vakili

Keyvan Vakili

Associate Professor of Strategy and Entrepreneurship

Professor Keyvan Vakili’s research focuses on how the technological and institutional contexts in which individuals and firms operate shape the characteristics of business innovations in terms of novelty and impact. Before joining academia, Professor Vakili founded a video game production company, which he sold to Samsung three years later.

Professor Keyvan Vakili is a strategy scholar interested in the antecedents of innovation and collaboration within creative settings. research focuses on how the technological and institutional contexts in which individuals and firms operate shape the characteristics of business innovations in terms of novelty and impact.

Before joining academia, Professor Vakili was an entrepreneur and worked as a consultant. He founded a video game production company, which he sold to Samsung three years later. As a consultant, he worked with executives in a range of industries such as auto, oil, education, software and hardware. He currently advises several startups in the fields of mobile apps, cloud computing, and blockchain technology

Certificate

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

Certificate

Participants will receive an Executive Education certificate from London Business School following the completion of the 30-day AI implementation plan.

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All certificate images are for illustrative purposes only and may be subject to change at the discretion of London Business School.
This online certificate programme does not grant academic credit or a degree from London Business School.

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