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AI Hub Startup Radar

The AI Hub's partnership function supports Bertelsmann's divisions in using generative AI in building out and providing access to our eco-system and by forming strategic partnerships and facilitating cooperation with Gen AI start-ups.

Sebastian Strugholtz

SEO and SEM Actionable Strategies for Generative AI Search in 2025

Actionable Tactics for Generative AI Search Optimization

Christian Verdú

Google Agentspace - AI for Everyday Work

Google Agentspace is one of the big innovations from Google Cloud, rapidly emerging since last year and recently promoted on the Next'25. Let's have a look of what it wants to be and what it is. In short, it tries to solve the seemingly impossible: making it easy to find something in your company's data buckets or apps and turning it into action using generative AI.

Daniel Paarmann

Plugging AI Into Everything: How the Model Context Protocol Is Changing the Game (APIs for LLMs)

How a hallway hack turned into the open standard that’s wiring large‑language‑model apps to the rest of the software world.

Mastering AI Image Prompts: Comparing Firefly, DALL·E, and Midjourney

I explored AI image generation prompts using guides for Adobe Firefly, DALL·E 3, and Midjourney V6. Firefly follows a structured, photography-style approach, DALL·E 3 excels in narrative-driven, detailed prompts, while Midjourney V6 is best for short, style-based prompts with parameters. Each has strengths depending on the use case.

Thorsten Johanntoberens

Mastering ChatGPT – A Practical Guide to Prompting & Frameworks

Mastering ChatGPT – A Practical Guide to Prompting & Frameworks is an article that demystifies how to harness the full potential of ChatGPT through structured prompting. It explains that ChatGPT functions like a highly intelligent 3-year-old: rich in knowledge up to a certain point, yet lacking real-world experience. The article illustrates how, without guidance, the AI predicts the next word based on statistical likelihood, sometimes resulting in hallucinations—confident but incorrect answers.

Thorsten Johanntoberens

Trusting Your Agents: Evaluating a Multi-Agent RAG System at Scale together with LastMile AI

Making AI reliable in the agentic era

Carsten Mönning

Beyond LLMs: Why Multi-Context Protocol Is the Next Big Step in AI—and Why It Matters to You

Initially introduced by Anthropic, MCP is a system, that 'provides a universal, open standard for connecting AI systems with data sources, replacing fragmented integrations with a single protocol.