d:u Blog

Bernard Sonnenschein

Data architecture: What it is, which components it has and how SMEs set it up

Bernard Sonnenschein

AI for executives: foundations, decisions and the right kind of training

Bernard Sonnenschein

AI in HR: use cases, opportunities and pitfalls for SMEs

Bernard Sonnenschein

Jobs of the future: which professions will be in demand — and how companies are preparing

Bernard Sonnenschein

AI in marketing: practical applications and what companies should watch out for

Bernard Sonnenschein

Data sovereignty: what the term means and why it's becoming relevant for businesses

Bernard Sonnenschein

Data silos: what they are, why they form and how businesses can break them down

Bernard Sonnenschein

Working with AI: From Prompt to Work System

Moderner Arbeitsplatz mit geöffnetem Laptop und strukturierter KI-Arbeitsumgebung

Bernard Sonnenschein

Open-source AI for companies: The 8 most important models at a glance

Bernard Sonnenschein

Understanding AI agents: What they can do, where they are used and why they are changing everyday working life

Bernard Sonnenschein

Formulate AI prompts correctly: Why good inputs make the difference

Bernard Sonnenschein

AI in sales: How artificial intelligence improves leads, forecasts and customer relationships in SMEs

Bernard Sonnenschein

Alternatives to ChatGPT: 7 AI tools you should know for companies in 2026

Bernard Sonnenschein

Generative AI: What it is, how it works and what it means for SMEs

Bernard Sonnenschein

European AI: The 7 most important companies and models decision makers should know

Christina Fiege

The Most Important AI Conferences in Europe 2026: Festivals, Summits and Data Events

Bernard Sonnenschein

Data security and AI: What companies should clarify before the first project

Bernard Sonnenschein

Share data, create added value: When is data sharing worthwhile for companies

Bernard Sonnenschein

Understanding language models: What decision makers need to know about LLMs

Bernard Sonnenschein

What can't AI do — and why it's an opportunity

Bernard Sonnenschein

The 7 most important AI trends in 2026: What decision makers need to know now

Christina Fiege

Data science in wholesaling: The path from Excel chaos to the data office

Christina Fiege

Data platform and AI combined: Benefits for SMEs

Christina Fiege

AI in healthcare: How electronic patient records are driving digitization

Bernard Sonnenschein

AI tools 2026: Which AI is available and who shapes each area?

Bernard Sonnenschein

Data-based decision-making: What it means and how it works in SMEs

Bernard Sonnenschein

AI ethics: responsible use of artificial intelligence in companies

Bernard Sonnenschein

AI for SMEs: Getting started, tools and practical examples for small and medium-sized enterprises

Bernard Sonnenschein

AI in business: how to implement AI successfully in your company

Bernard Sonnenschein

Knowledge management with AI: How artificial intelligence ensures knowledge transfer in SMEs

Christina Fiege

MCP makes it possible: Why the Model Context Protocol is the basis for the Agentic Web

Christina Fiege

Data maintenance comes before AI: Why good master data quality is the basis of every AI strategy

Christina Fiege

AI trade fairs and data events in Germany: An overview

Bernard Sonnenschein

AI chatbots & conversational AI: The evolution from an FAQ bot to artificial intelligence

Bernard Sonnenschein

GDPR & KI Regulation: Using ChatGPT in a legally secure manner

Bernard Sonnenschein

Data analysis in SMEs: From a mountain of data to better decisions

Bernard Sonnenschein

AI strategy for SMEs: From initial understanding to concrete implementation

Bernard Sonnenschein

AI use in companies: In which areas artificial intelligence is already transforming SMEs

Bernard Sonnenschein

Collecting, structuring, using data: The practical guide for digitization in SMEs

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