Programme Content
In this opening module, you will get an overview of digital innovations. You will learn about the various applications of digital strategies successfully adopted by global brands and contemplate which strategies may prove to be the most effective in your organization.
In this module, you will discover how data can drive effective decision through case studies from industries such as advertising, retail, and healthcare. You will see examples of techniques such as A/B testing, network analysis, and pre/post testing being employed to deliver business outcomes, and you will learn to identify opportunities for action in your own organization.
This module will dive deeper into data by covering the three main categories of analytics: descriptive, predictive, and prescriptive. You will identify the opportunities and limitations of data integration and learn how concepts such as data sourcing, data architecture, and data algorithms come together to form a holistic data strategy for your organization.
Understand the current state of problems in your organization through the integration of quantitative and qualitative methods. Envision digitally enabled transformations to your processes, and identify the metrics for the success of such innovations.
Digital technologies have created more opportunities for organizing complex markets. Understand the impact of digital transformation on business models. Assess digital products against platforms and multisided markets.
The right organizational structure can be instrumental in the success of your digital transformation efforts. Assess the organizational design choices that affect an organization's capacity for digital transformation.
With the rapidly increasing use of data and the accompanying concerns around privacy violations, data collection regulations have come to the forefront. Explore the ethical issues surrounding the use of personal data and how to navigate data regulations.
This module will explore recent trends in digital technologies and what opportunities the future may bring. Summarize your learnings from previous modules, and start compiling the building blocks for your capstone project.
In this module, you will explore the various applications of AI in business and the opportunities being created by advances in AI. Understand what AI is capable of, and identify possibilities for implementing AI-Driven solutions in your business.
Grasp the fundamentals of neural networks and deep learning along with their common applications. Evaluate business considerations for implementing these technologies, such as data acquisition, training objectives, and performance assessment. Additionally, explore advanced techniques such as generative AI for creating new data and convolutional neural networks for powerful analysis.
AI has enabled the automation of complex tasks through applications such as autonomous driving and chatbots. Delve into two cutting-edge fields that let machines "see" the world as we do and understand our language, including the challenges and possibilities these technologies present. Discover recent advancements in creating realistic images and text using generative adversarial networks and mastering sequential data such as speech using recurrent neural networks.
Understand the nuances of reinforcement learning and the practical considerations for it to succeed. Explore the applications of robotics, and evaluate the reliability required for robots to create value.
Formulate a strategy for the implementation of AI in your organization. Learn from failed AI implementations, and assess the value of AI-driven applications by using the 4Cs framework.
People and organizations play important roles in the implementation of your AI strategy. In this module, you will uncover how to empower your organization to undergo this transformation through a case study.
Acknowledge the moral and ethical concerns associated with the use of intelligent machines and algorithmic decision. Explore what the future of AI may look like, including human–machine touchpoints and augmented intelligence, and reflect on how AI plays a role in your digital transformation.
Explore how to create new value for your organization from data assets and different perspectives to shape a data strategy.
Learn a practical, step-by-step methodology that incorporates research, best practices, and faculty experience to develop a successful data strategy.
Explore various frameworks for data management, the foundational support of your data strategy.
Explore ways various data processes can create value for your organization, either independently or in conjunction with other steps of the process, and identify new technologies for implementing your data strategy.
In this final module, you will create a pitch deck for a digital transformation that offers a solution to a problem you have identified at your organization. As part of this proposal, you will also address the change management piece and how you would ensure a successful rollout.
