AI Business Manager

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Manager

Our manager training formats are aimed at senior executives or managing owners of a company. You want to strategically optimize and sustainably implement the performance of the entire company in order to achieve the company's goals.

Artificial Intelligence

Data is the new oil. To be ready for the data-driven future, strategic cornerstones need to be prepared and promising data-related use cases must be implemented in a scalable manner. For this, AI offers a powerful toolset to optimize processes, reduce waste and develop new digital products and services.

Classroom

For this training we invite you to one of our German locations in Aachen, Berlin, Dresden or Munich. Experience the benefits of industry, research and science in one place in a motivating environment and get in direct contact with peers.

Level 3

5 Days
Preparing for the next career step or building on existing expertise in order to fill the current role more effectively requires intensive training formats. In addition to theoretical training content, interaction, exercises and transferability to your own job context are particularly important. This is made possible in 3-5 day certificate courses.

About this Training

The training AI Business Manager provides participants with a proven methodological approach from idea generation to evaluation, technical and business-related feasibility, competence & team settings, data testing, and agile implementation methods. Using self-selected and company-individualized use cases, participants learn how to develop new data-driven business models in their own company to select the most promising use cases for implementing AI.

Why this Training is right for you

The AI Business Manager training is designed for professionals and executives who want to approach the topic of artificial intelligence from a business perspective, learn in-depth, field-tested approaches for implementing AI solutions, and gain hands-on experience with key agile AI implementation methodologies. The number of participants is limited to 20 persons so that an efficient knowledge transfer in the dialogue between the participants and lecturers is guaranteed.

  • Delivering practice-relevant and applicable knowledge in technology management as well as for the systematic development of business model innovations.
  • In-depth knowledge of methods and tools for the sustainable implementation of processes in your company.
  • Reference to current problems of companies from practice.
  • Projection of what you have learned to your own professional field or your own company.
  • Gaining insights from industry best practice examples & fostering interdisciplinary knowledge exchange within the network.

Training Goals & Training Plan

After this training, you will be able to apply the field-tested methods of the AI Navigator and data-driven business model canvas in order to identify and evaluate economically logical AI use cases. In addition, you will receive an introduction to agile development methods, the importance of user experience in AI solutions, and the impact of AI on digital business models.

Within five days, the focus is on case studies and exercises in which the participants concretize and apply the theoretical & methodological basics of the AI Navigator. With the help of the field-tested AI Navigator, a structured approach is possible to identify AI-enabled projects and to guide them from idea generation to evaluation and data testing to successful implementation. In addition to lectures and practice-oriented exercises, there are numerous opportunities for professional and personal exchange as well as networking during joint evening events.

Day 1
  • Introduction into Artificial Intelligence
  • Data-Driven Business Model Canvas
  • Ideation Phase (Theory & Practical Exercise)
  • Jobs-to-be-done (Theory & Practical Exercise)
Day 2
  • AI Teams: Competences & Roles
  • Maturity Assessment (Theory & Practical Exercise)
  • Data as Enabler for new Business
  • Developing Data-Driven Business Models (Theory & Practical Exercise)
  • Production related Specifics
Day 3
  • Overview: Business & Technical Feasibility
  • Understanding Machine Learning - Limits & Possibilities (Theory & Pracitcal Exercise)
  • Data Testing
  • Importance of Clearly Defined Processes
  • Networking Event
Day 4
  • Data Testing (Pracitcal Exercise)
  • Technical Feasibility (Theory & Pracitcal Exercise)
  • Technology Scouting - Approach for quick Solution Identification
  • Standards & Data Governance
  • Agile Project Management
Day 5
  • Future Trends: Responsible & Explainable AI
  • Best Practice: Data Management & Digital Transformation
  • Business Model Stress-Test
  • Exam
  • Wrap-Up & Feedback

Customer Voices

"The training was an educational and intensive experience that provided valuable knowledge about the strategic use of AI in various industries. The content was extremely informative and helped to develop a deeper understanding of data-driven business models. The cross-industry exchange with other participants was particularly positive, offering new perspectives and inspiration."
Robert Kohlhaupt - Project Manager & BIM-Manager @ KVL Group
"The intensive training week with a lot of input gave a deep insight into the development of data-driven business models. I look forward to using the experience gained to promote data-driven decisions and strategies."
Frank Peterlein - Head of IT & AI @ KVL Group

Requesting Inhouse Training?

The course, or parts of it, would also be interesting for your entire team/your company? We would be happy to advise you on the possibility of an inhouse training. Give us a call or write to us - we will tailor your further training to suit your needs!

Learn more about

  • AI Navigator
  • Ideation – Use case browsing
  • AI Use Case Assessment
  • Agile Development
  • Data-driven Business Models
  • Technical feasibility
  • Cross-functional Teams
  • Best Practices
  • AI Organization
Contact us!

INC Academy

academy@innovation-center.com

AI Business Manager

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this course

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INC Academy

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Our Partners

Speakers

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Anne Loos
Anne Loos

Anne Loos

Executive Director New Business & Technologies
Executive Board
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Toni Drescher
Toni Drescher

Toni Drescher

CEO
Executive Board
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Tim Schroeder
Tim Schroeder

Tim Schroeder

Head of Artificial Intelligence
Digital Transformation
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Dr. Olaf Enge-Rosenblatt
Dr. Olaf Enge-Rosenblatt

Dr. Olaf Enge-Rosenblatt

Group Manager Data Analysis Systems
Get to know me
Antonela Germek
Antonela Germek

Antonela Germek

Head of Innovation Excellence
New Business & Technologies

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