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Overview

  1. Understanding how data and (generative) AI shape the digital transformation of organizations
  2. Familiarizing the building blocks of data- and AI-driven organizations
  3. Learning the logic of data-driven value creation with analytics, AI, and generative AI
  4. Applying an agile toolset for use cases for data- and AI-driven business innovation
  5. Investigating proven use cases of data-driven value creation and (generative) AI for various industries

Description

Data and (generative) artificial intelligence are a key driver for the digital transformation of organizations and today’s societies. Thus, the first module introduces the perspective on digitalization and business transformation which is taken throughout the program – how to create value with (big) data and (generative) artificial intelligence. We investigate industry-proven value creation approaches of “analytical leaders” and will elaborate on how organizations can create and maintain competitive advantages with data and (generative) artificial intelligence. In so doing, we will not only present proven and successful data and (generative) artificial intelligence applications from the industries and business functions of the participants, but also teach how to create data-driven innovations that create true customer value using agile innovation approaches.

After the module, participants…

  • understand how data and (generative) AI shape the digital transformation of organizations.

  • are familiar with the building blocks and resources of data- and AI-driven organizations.

  • know the logics of data-driven value creation with analytics, AI, and generative AI as well as are familiar with proven use cases in various industries.

  • can apply an agile toolset for assessing use cases for data- and AI-driven business innovation.

  • have gained practical experience in analytics and data-driven decision-making (using Tableau).

Lecturers