Market intelligence with AI: selecting use cases & tools, planning implementation

This online course offers you a digital blended concept that has been specially developed for part-time learning. With a time budget of at least 4-5 hours per week, you are sure to reach your goal. Alternatively, you can schedule the learning units flexibly. This is how you learn in the course: 

Self-study phases:Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material with videos, articles, interactive exercises, quizzes and learning checks. 

Live webinars:In regular online seminars, you will meet the trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises. 

Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and clarify your questions. 

Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate and an Open Badge that you can easily share in professional networks (e.g. LinkedIn).  

Future Jobs Club: Get exclusive access to a business network, news and future work hacks.

• You will learn how artificial intelligence can be used along the customer journey - from personalization and lead scoring to chatbots and content optimization.
• You will recognize concrete fields of application for AI in your marketing and sales environment and develop your own ideas with practical exercises.
• You use the AI matrix to analyze the feasibility and potential impact of your ideas in order to select the best approaches.
• You will create a roadmap with clear milestones, plan pilot phases and receive best practices for the successful implementation of AI projects in Marketing & Sales.
• You will gain an overview of relevant AI tools through demos, tool research and decision-making aids for your project.
• You understand important aspects such as the EU AI Act, GDPR requirements as well as bias, fairness and explainable AI in the context of "Responsible AI".
• You will learn strategies to prepare your organization for data-driven decisions and successfully shape change. 

Thomas Hoffmann