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We Embedded Azure OpenAI into Our DevOps Pipeline — Here’s What I've Learned

Generative AI is revolutionizing more than just content creation — it’s transforming how engineering teams build, test, deploy, and operate software. At Arvato Systems, I led the integration of Azure OpenAI into our CI/CD pipelines, and the results were transformative.

Bharath Vasudevan

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