Scale Up Big Data & AI

Overview

1. Becoming an effective data and (generative) AI leader
2. Implementing scalable data and (generative) AI strategies
3. Bringing data and (generative) AI commercially viable and ethically responsible into the organization
4. Learning project management and value creation for data and (generative) AI
5. Designing organizational and operational structures for data and (generative) AI
6. Estimating AI costs and establishing AI governance
7. Communicating data effectively through visualization, storytelling, and facilitation

Description

While many companies have engaged in starting first big data and (generative) AI pilots, only very few have managed to scale up their analytics operations to build a data-driven organization. This is what we tackle in this module. We equip you to become an effective data and (generative) AI leader. By learning how to bring data and AI commercially viable and ethically responsible into your organization, you ensure that the implemented strategies are scalable and sustainable. Working through an in-depth case study of a bank moving generative AI from pilot to enterprise transformation, participants confront the real tensions of use case selection, operating model design, and organizational structure. Our toolset includes project management practices for managing AI value creation, methods for estimating the cost of AI initiatives, and approaches to AI governance. A dedicated strand of the module is devoted to making data compelling: how to present, visualize, facilitate, and tell stories with data so that analytical results actually change decisions. Senior practitioners from the financial services and aviation industries share how data strategy and leadership work in their organizations. Participants close the module by pitching their individual data innovation projects.

After the module, participants…

• are equipped to become effective data & AI leaders.
• can develop and implement scalable data and (generative) AI strategies for bringing data and AI into action in a commercially viable and ethically responsible fashion.
• know good project management practices for data and (generative) AI and can manage AI project value creation.
• can design organizational and operational structures and processes to establish operational excellence in data and (generative) AI.
• can estimate the costs of AI initiatives and know the principles of AI governance.
• can set up effective communication practices, including data visualization and storytelling, to initiate and support their organization’s change and transformation process.