Vision before Version
The "Why" behind WirStartenKI.de
AI-Driven Lead Generation for SMEs: What Truly Works
Integrating AI into lead generation can be a game-changer for SMEs, but only if executed correctly.
Rethinking Productivity at Work with ChatGPT
ChatGPT can boost workplace productivity, but the key lies in proper integration and usage.
AI, IoT & RAG Use Cases: Practical Insights and Operational Challenges
Integrating AI, IoT, and RAG into existing business processes presents both opportunities and challenges. Discover why the first AI use case is often boring but crucial.
Understanding AI Agents: Practical Insights and Operational Challenges
AI agents are more than just a trend. They are tools that often fail at unexpected points in practice. We share our observations and decisions from product development.
Why AI Understanding Often Fails in SMEs Due to Strategy
Many SMEs recognize the importance of AI, but often lack a clear strategy. WirStartenKI explains why the first step is crucial.
Is AI Superintelligence Realistic? A Pragmatic Perspective
The debate around AI superintelligence is filled with speculation and fear. But how realistic is this scenario? WirStartenKI examines the practical aspects and challenges.
Why Medium-Sized Businesses Often Choose the Wrong AI Tools
Many medium-sized businesses invest in AI tools that don't align with their actual needs. WirStartenKI highlights what truly matters.
AI, ML & DL Basics: Practical Insights We've Gained
In practice, the first AI use case should often be simple yet measurable. We share our experiences and why we consciously avoid certain approaches.
The Overlooked AI Revolution in Germany: A Behind-the-Scenes Look
The AI revolution in Germany is often misunderstood. WirStartenKI reveals why pragmatic approaches are crucial.
Niklas Steenfatt and the AI Course Correction: Lessons from Pragmatic AI Approaches
Niklas Steenfatt demonstrates what a pragmatic shift in AI implementation can look like. Insights for the mid-sized business sector.
AI Jobs 2030: Which Careers Will Survive and Which Will Disappear?
The job landscape of 2030 will be radically transformed by AI. However, not all careers will be equally affected. Which jobs will remain and which will vanish?
AI Decisions: Balancing Operational Efficiency and Transparency Obligations
The introduction of AI regulations presents new challenges for businesses. We discuss how pragmatic AI decisions can be made in small and medium-sized enterprises.