AI-Manager

<p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>AI-Manager is currently used at universities colleges academies and private educational institutions in Germany Austria Switzerland Spain and Latin America.</span></p><p></p><p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>This revised 2025 edition builds on the success of the first edition and offers an even clearer structure as well as optimized content. The material is divided into clearly structured precise modules that allow for step-by-step progress from the basics to advanced techniques and real-world applications. It covers all relevant aspects necessary to understand and successfully apply Artificial Intelligence. You will find detailed explanations on AI classification machine learning methods data analysis natural language processing (NLP) Big Data Internet of Things (IoT) and data visualization using intuitive diagrams. In addition the book addresses forward-looking specialized fields such as TinyML implementing models on microcontrollers and optimizing AI for edge devices and IoT systems.</span></p><p></p><p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>Critical topics such as ethics and bias in AI systems are also discussed in detail - aspects that are becoming increasingly important for modern professionals. You will learn how to identify and mitigate bias ensure transparency safeguard data privacy and comply with current and future legal requirements.</span></p><p></p><p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>The book AI-Manager covers key aspects of planning implementing controlling and evaluating AI projects in companies. It is an interdisciplinary work that can be used as supplementary material a didactic foundation or even required reading in numerous professions study programs as well as in continuing education and specialization courses. AI-Manager is an extremely valuable tool for both technical and non-technical profiles and can be integrated into a wide range of educational contexts. It not only teaches Artificial Intelligence but also shows how it can be realistically managed and implemented in companies - an aspect often neglected in many technical training programs where management leadership and strategy are rarely addressed.</span></p><p></p><p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>These are just some of the training and educational programs in which AI-Manager has been used since the publication of the first edition in 2023 to teach and learn AI:</span></p><p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>• Industrial Clerk: The book provides an understanding of how AI transforms production marketing logistics and accounting.</span></p><p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>• IT Specialist for Data and Process Analysis: AI-Manager conveys realistic application contexts of AI in corporate data.</span></p><p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>• IT Systems Management Clerk: AI-Manager supports learners in recognizing and selling intelligent IT solutions.</span></p><p><span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>• Technical System Planner and Mechatronics Technician: The book is used to understand AI in system control predictive maintenance robotics and automation.</span></p><p>and <span style=color: rgba(83 90 98 1); background-color: rgba(255 255 255 1)>Business Informatics Data Science and Artificial Intelligence among others.</span></p><p></p><p><strong>Note recommendation!</strong></p><p>AI-Manager + AI the Homo digitalis + AI & Big Data + 10 Projects Series</p><p></p>