Nils Urbach is Professor of Information Systems and Digital Business and Director of the Research Lab for Digital Innovation & Transformation at the Frankfurt University of Applied Sciences, Germany. He is Director at the FIM Research Center for Information Management, and the Branch Business & Information Systems Engineering of Fraunhofer FIT. Nils Urbach has been working in the fields of digital innovation and transformation for several years. His work has been published in several academic journals such as Information Systems Research (ISR), the Journal of Strategic Information Systems (JSIS), the Journal of Information Technology (JIT), MIS Quarterly Executive (MISQE), IEEE Transactions on Engineering Management (IEEE TEM), Information and Management (I&M), Business & Information Systems Engineering (BISE), and Electronic Markets (EM). He advises several companies on digitalization issues and regularly appears as a speaker on this topic.Daniel Feulner received his M.Sc. in information system from the Otto-Friedrich University of Bamberg, Germany in 2023. He is an affiliated researcher at the Branch Business & Information Systems Engineering of the Fraunhofer FIT and FIM Research Center for Information Management at the University of Bayreuth. In his research, he aims to understand how Business Analytics and Artificial Intelligence can be effectively and responsibly utilized in organizations. His goal is to enable companies to drive innovation and achieve sustainable growth in a rapidly evolving technological landscape.

• Introduction to Managing Artificial Intelligence.- Technological Foundations of AI.- Foundations of Neural Networks.- Introduction to Generative AI.- Evaluating and Optimizing AI Models.- Application Potentials of AI Technologies.- Identifying, Designing and Evaluating AI Use Cases.- AI Strategizing and Readiness.- Governance and Management of AI.- Techno-Economic Decisions of AI.- Designing Human-AI Interactions.- AI Monitoring and Change Management.- Ethical, Legal and Social Implications of AI.

Nils Urbach is Professor of Information Systems and Digital Business and Director of the Research Lab for Digital Innovation & Transformation at the Frankfurt University of Applied Sciences, Germany. He is Director at the FIM Research Center for Information Management, and the Branch Business & Information Systems Engineering of Fraunhofer FIT. Nils Urbach has been working in the fields of digital innovation and transformation for several years. His work has been published in several academic journals such as Information Systems Research (ISR), the Journal of Strategic Information Systems (JSIS), the Journal of Information Technology (JIT), MIS Quarterly Executive (MISQE), IEEE Transactions on Engineering Management (IEEE TEM), Information and Management (I&M), Business & Information Systems Engineering (BISE), and Electronic Markets (EM). He advises several companies on digitalization issues and regularly appears as a speaker on this topic.Daniel Feulner received his M.Sc. in information system from the Otto-Friedrich University of Bamberg, Germany in 2023. He is an affiliated researcher at the Branch Business & Information Systems Engineering of the Fraunhofer FIT and FIM Research Center for Information Management at the University of Bayreuth. In his research, he aims to understand how Business Analytics and Artificial Intelligence can be effectively and responsibly utilized in organizations. His goal is to enable companies to drive innovation and achieve sustainable growth in a rapidly evolving technological landscape.

• Introduction to Managing Artificial Intelligence.- Technological Foundations of AI.- Foundations of Neural Networks.- Introduction to Generative AI.- Evaluating and Optimizing AI Models.- Application Potentials of AI Technologies.- Identifying, Designing and Evaluating AI Use Cases.- AI Strategizing and Readiness.- Governance and Management of AI.- Techno-Economic Decisions of AI.- Designing Human-AI Interactions.- AI Monitoring and Change Management.- Ethical, Legal and Social Implications of AI.

Nils Urbach is Professor of Information Systems and Digital Business and Director of the Research Lab for Digital Innovation & Transformation at the Frankfurt University of Applied Sciences, Germany. He is Director at the FIM Research Center for Information Management, and the Branch Business & Information Systems Engineering of Fraunhofer FIT. Nils Urbach has been working in the fields of digital innovation and transformation for several years. His work has been published in several academic journals such as Information Systems Research (ISR), the Journal of Strategic Information Systems (JSIS), the Journal of Information Technology (JIT), MIS Quarterly Executive (MISQE), IEEE Transactions on Engineering Management (IEEE TEM), Information and Management (I&M), Business & Information Systems Engineering (BISE), and Electronic Markets (EM). He advises several companies on digitalization issues and regularly appears as a speaker on this topic.Daniel Feulner received his M.Sc. in information system from the Otto-Friedrich University of Bamberg, Germany in 2023. He is an affiliated researcher at the Branch Business & Information Systems Engineering of the Fraunhofer FIT and FIM Research Center for Information Management at the University of Bayreuth. In his research, he aims to understand how Business Analytics and Artificial Intelligence can be effectively and responsibly utilized in organizations. His goal is to enable companies to drive innovation and achieve sustainable growth in a rapidly evolving technological landscape.

• Introduction to Managing Artificial Intelligence.- Technological Foundations of AI.- Foundations of Neural Networks.- Introduction to Generative AI.- Evaluating and Optimizing AI Models.- Application Potentials of AI Technologies.- Identifying, Designing and Evaluating AI Use Cases.- AI Strategizing and Readiness.- Governance and Management of AI.- Techno-Economic Decisions of AI.- Designing Human-AI Interactions.- AI Monitoring and Change Management.- Ethical, Legal and Social Implications of AI.