Artificial intelligence in business: potentials, use cases, value contributions
How to determine the fields of action for your company
4.5
Did you know?
This course is part of the certified Master Class "AI Manager". By booking the entire Master Class, you save 20 percent compared to booking the individual modules.
After the presentation and an introduction to the course and master class process, the attendees collect initial scenarios for the use of AI from their own contexts. These are categorized together into the different variants of artificial intelligence and can be used as examples throughout the course.
- What is artificial intelligence?
- Traditional AI software
- Machine Learning and Neural Networks
- APIs as the Key to AI Models
- Generative AI
- Large language models
- Agent-based AI
- Strong and Weak AI
- Value contributions from AI
- Task Analysis
- Process Mining
- Value Stream Mapping
- The AI Project Canvas
- The Periodic Table of AI
Use the AI Project Canvas to explore your use case. Walk through the thought process from identifying the problem to measuring success, and apply these concepts to your daily work.
After reflecting on the content from the first self-study phases, the focus is on the concrete application of AI in a business context. Using the AI Project Canvas, attendees get to know a tool that they can use to describe their AI project in a structured and methodical way. The AI Project Canvas is a proven methodology for starting a new AI project, e.g. to get involved in stakeholders.
- Data as the fuel for AI
- Data, data point, data set, data field, data source
- What makes for good data?
- From Use Case to Data Requirement
- Derive information systematically
- From information to data fields
- Check data quality
- Preparing Data for AI: The ETL Process
- Focus on scalability
- Phased AI implementation
- Technical Challenges
- Reproducibility
- Model Drift
- Black Box vs. Explainable AI
- Think long-term when it comes to operation and maintenance
- Monitoring
- Human-in-the-loop
- Post-workout
- Fallback strategy
In the concluding live webinar—following a review of the self-study module and a Q&A session—the prepared AI Project Canvases will be presented and discussed. Feedback from attendees the expert will attendees prepare the attendees for the potential implementation of their individual AI projects.
Contents and course schedule
AI basics for companies
- What is artificial intelligence?
- Traditional AI software
- Machine Learning and Neural Networks
- APIs as the Key to AI Models
- Generative AI
- Large language models
- Agent-based AI
- Strong and Weak AI
Implement AI projects
- Value contributions from AI
- Task Analysis
- Process Mining
- Value Stream Mapping
- The AI Project Canvas
- The Periodic Table of AI
Transfer - Your Use Case in the AI Project Canvas
- Use the AI Project Canvas to explore your use case. Walk through the thought process from identifying the problem to measuring success, and apply these concepts to your daily work.
Data Requirements for AI
- Data as the fuel for AI
- Data, data point, data set, data field, data source
- What makes for good data?
- From Use Case to Data Requirement
- Derive information systematically
- From information to data fields
- Check data quality
- Preparing Data for AI: The ETL Process
Best Practices for AI Projects
- Focus on scalability
- Phased AI implementation
- Technical Challenges
- Reproducibility
- Model Drift
- Black Box vs. Explainable AI
- Think long-term when it comes to operation and maintenance
- Monitoring
- Human-in-the-loop
- Post-workout
- Fallback strategy
This is how you learn in this course
This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your 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 will be available to you throughout the course. trainers with other participants and the trainers , and ask any questions you may have.
Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).
Your benefit
You will learn what artificial intelligence is, how AI works and what prerequisites AI requires.
You will learn how artificial intelligence can add value - for industries, companies and specialist areas.
With the AI periodic system, you will systematically learn about the components and mode of action of artificial intelligence.
You will be provided with tools and methods to determine the potential of AI for your company and identify specific use cases.
You will learn how to use artificial intelligence to increase productivity and automate processes in your company.
You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.
Take an active part in our online community and work with your own questions - this is how you will benefit most from this online training. This will allow you to apply the content both in self-study and in practical exercises.
Methods
Well-founded trainers, presentations, practical exercises, self-reflection, discussions, work aids, group work on participants' real projects and exchange of experience in the learning community.
Tool
Recommended for
This course is aimed at people who want to find out how AI can create value in the company, what use cases there are and how AI strategies are developed. This includes entrepreneurs, executives and decision makers, business strategists as well as product and innovation managers. In addition, the course is recommended for anyone with a deeper interest in digital transformation and innovative business models.
Overall, the course is the ideal introduction to the role of the AI manager. It is equally suitable for newcomers and career changers as well as for people with prior knowledge who want to deepen their AI knowledge and put it into practice.
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Mastering the future
Recognize & implement AI potential in the company - with the Master Class "AI Manager:in".
Ratings and feedback from our participants
Start dates and details
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Questions & Answers
In our Questions & Answers (FAQ) section, you will find all the answers and the most frequently asked questions about your selected topic.
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