Competing in the Age of AI—Virtual
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
-
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.
Key TopicsCollapse All
The age of AIThe 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 effectsNetwork 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 factoryThe 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 companyThe 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 dataEthics 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
