AI for Leaders

Research from the World Economic Forum (WEF) and Mckinsey shows that AI will increasingly disrupt what we do, who does it and how all work is done – e.g. humans versus machines. On the positive side, AI is expected to add significant growth and value to the world’s economy for the companies and countries that get it. As such, it is more important than ever that all leaders, managers, executives and board members develop their AI skills to compete and prosper in the AI world.

However, most leaders, executives and board members lack the necessary AI education, skills, strategies and tactics to create AI-powered business models with platform and network effects. Further, they don’t understand how AI will impact their customers, employees, investors, operations and product/service offerings.

WHAT TO EXPECT

AI for Leaders features a series of lessons with video lectures, real world case studies, and hands on practice sessions that will help you learn the skills you need to advance your company and career. In addition, you will learn how to leverage today’s AI capabilities to improve your organization’s:

Customer offerings and interactions,
Employee engagement and capabilities,
Operations,
Competitive positioning, and
The 7 attributes of AI centered leadership.

Finally, our program provides 5 clear steps, which we call PIVOT - that help you and your organization build today’s modern business model – along with a capstone project focused on how you build your own AI powered (autonomous) business model.

WHAT THIS COURSE CONTAINS

To ensure your success as a leader in the AI world, this course contains:

40+ videos
Lectures from renowned faculty and business practitioners
Real-world case studies
25+ exercises
Preeminent articles from world class publications including HBR, Forbes and MITSMR

WHO SHOULD TAKE THIS COURSE

All leaders, board members, executives and team leaders at all types of organizations and at all levels should take this course. Further if you are looking to rise to a new role in your company, this course will arm you with the tools and techniques you need to drive your career and organization into the world of AI powered platforms and join companies like, Amazon, Apple, Alphabet, Uber and Airbnb who are at the forefront of this revolution.

The total learning hours for this Module amount to 50. These are distributed across the following categories:

Total Contact Hours: 20
Self-Study Hours: 5
Supervised Placement and Practice Hours: 0
Assessment Hours: 25

This Module carries a value of 2 ECTS.

Module-Specific Learner Skills:

At the end of the module/unit the learner will be able to

Integrate theory, research findings and practice for real-world problem solving.

Generate specific data and identify data valuable to their business and AI.
Apply the 5 steps for success approach – which are called PIVOT.

Develop learning skills autonomously.

Make decisions in AI-driven environments

Integrate forward-thinking concepts, standards, and managerial decision-making tools in the functional areas of management.

Learn how platform business models and AI technologies complement each other.
Identify the 7 attributes of AI led organizations.

Integrate theory, research findings and practice for real-world problem solving.

Generate specific data and identify data valuable to their business and AI.

Competences:

At the end of the module/unit the learner will have acquired the responsibility and autonomy to:

Manages people and projects and demonstrates the ability to respond to the fast-changing business environment.

Demonstrates the ability to utilise modern AI technologies to enhance and improve their organisations.
Demonstrate accountability for considering ethical implications in AI leadership.

Demonstrates autonomy in the direction of learning and a high level of understanding of learning processes.

Exhibit autonomy in decision-making in AI-driven environments.

Knowledge:

At the end of the module/unit the learner will have been exposed to the following:

Integrate forward-thinking concepts, standards, and managerial decision-making tools in the functional areas of management.

Analyze how platform business models and AI technologies complement each other.
Examine the key traits of leaders who successfully embrace AI-powered platform business models.
Critically evaluate the seven attributes of AI-led organizations.
Compare and analyze five distinct business models.
Map the evolution of corporate strategy across these business models.
Explain why platform business models are emerging in the current market.
Differentiate between platform economics and traditional business models, and analyze the reasons for these differences.
Examine why automation and AI are essential components of platform business models.
Analyze various data sources, including fundamental and alternative data.
Evaluate best practices for developing and managing a company’s data.
Critically assess the different perspectives of stakeholders, investors, and regulators regarding data definitions and usage, and synthesize these views to inform data-driven decisions.
Analyze leading organizations and their approaches to data use and governance.
Formulate best practices for developing data-driven strategies.
Evaluate key stakeholders essential for building a data-driven business.
Analyze emerging requirements and regulations related to data management.
Evaluate different data sources, both fundamental and alternative, that a company can leverage.

Skills:

At the end of the module/unit the learner will have acquired the following skills:

Experiment withAI technologies and applications
Ethical considerations in AI leadership
Enhance decision-making skills in AI-driven environments.
Enhance flexibility and openness to continuous learning and experimentation to stay up-to-date in a AI dominated world.
Evaluate new, AI generated business models that reshape industries and how AI impacts businesses, customers, and markets in order to stay competitive.
Lead AI-driven transformations, preparing organizations for the cultural, operational, and technological shifts brought by AI adoption.

Module 1

Machines and Artificial Intelligence.

Identify and utilize different data sources (fundamental and alternative).
Identify best practices for developing and managing a company’s data.
Identify material issues and understand their importance in developing data.
Identify the different views of stakeholder, investor, and regulator definitions of data.
Identify the leading organization’s data use and governance issues.
Assess the quality of a company’s process for becoming a data-driven organization.
Understand and follow the best practices in developing data-driven strategies.
Identify and prioritize the key stakeholders in building a data-driven business.
Understand the different requirements and regulations that are emerging.

Module 2

Data for Al

Explain how data is used in an AI/ML application.
Understand why alternative data is a key differentiator.
Identify different data sources that a company can use (fundamental and alternative).
Understand the complexities of data management.
Understand and follow the best practices in developing data-driven strategies.

Module 3 (ECTS Credits: 0.5, UK Credits: 1.0)

Platforms & Networks

Identify the 5 distinct business models and map the evolution of corporate strategy.
Describe why platforms business models are emerging today.
Cite specific, concrete examples of firms leveraging older and newer business models.
Understand how platform economics are different, and why.
Explain why automation and AI are essential to platform business models.

Module 4

PIVOT - A Five-Step Process for Transformation.

Step1: Pinpoint where you are and the gap to platform, network, and AI.
Step 2: Inventory existing technologies, data, and networks to leverage.
Step 3: Validate business case for PDA agenda for delivery to leaders and board.
Step 4: Organize and operate the PDA team and hold them accountable.
Step 5: Track performance and progress towards PDA.

Module 5

Capstone Project-case study

Courses are generally made up of weekly modules with pre-recorded videos that you can watch on a schedule or at your own pace. There are supplemental readings and student discussion forums, as well as homework assignments and quizzes.