CROSS MEDIA
Artificial Intelligence
Artificial intelligence is one of the current megatrends in development and industry, management and administration. The development and use of AI promises great technological and efficiency potential. Training, control and the ability to control AI will also be crucial for this. The editorial teams of the Springer Fachmedien Wiesbaden magazines provide an overview of this important future topic on a cross-industry, cross-media microsite on Springer Professional. The latest links can be found here.
Executive Impact & Strategic Imperatives
Artificial Intelligence is reshaping the enterprise landscape, driving unprecedented opportunities for growth, efficiency, and innovation. Our analysis highlights the critical areas where AI can deliver significant strategic advantage.
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Künstliche Intelligenz
Delve into the core concepts of artificial intelligence and its widespread applications.
Read More © BlackJack3D | Getty Images | iStockKünstliche Intelligenz braucht hybride IT-Strukturen
Explore why modern AI deployments necessitate hybrid IT infrastructures for optimal performance and scalability.
Read More © Eisenhans | stock.adobe.comSoftware-defined Vehicle | AI - Accelerating the Development
Understand the pivotal role of AI in accelerating the development of innovative software-defined vehicles.
Read More © Catsby_Art I stock.adobe.com | Generated with AI6. Zukunftswerkstatt Sales Excellence 2025 - KI als Booster im Vertrieb
Discover how AI acts as a booster for sales in the "Sales Excellence 2025" workshop, optimizing strategies and outcomes.
Read More © VRIRUS I stock.adobe.comCalculate Your AI ROI
Estimate the potential return on investment for AI integration into your enterprise. Adjust the parameters to see a personalized projection.
Phased Implementation Roadmap
Our structured approach ensures a smooth and successful AI integration, minimizing disruption and maximizing value delivery.
Phase 01: Discovery & Strategy
Comprehensive assessment of current systems, identification of AI opportunities, and development of a tailored AI strategy and roadmap.
Phase 02: Pilot & Proof-of-Concept
Deployment of a small-scale AI pilot project to validate technology, gather initial data, and demonstrate tangible value.
Phase 03: Scaled Implementation
Full-scale integration of AI solutions across relevant departments, including infrastructure setup, data migration, and comprehensive training.
Phase 04: Optimization & Futureproofing
Continuous monitoring, performance optimization, and strategic planning for future AI advancements and expanded applications.
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