The AI-Logbook.
Notes from the practice of generative AI — clear, grounded, made for doing. A curated selection on bringing AI into the company.
Grassroots Power Makes Colleagues Smarter: AI Pioneers at Deutsche Telekom
How a grassroots movement carries AI knowledge right into the heart of every department - a blueprint for AI enablement from within.
Read →Brainstorm Smarter, Decide Faster: The New Synergy of Live Workshops and GenAI
How generative AI enriches the entire workshop lifecycle from planning to follow-up - practical, concrete, and with humans at the center.
Read →Augmented Leadership: CEOs and Managers Use AI
How leaders use AI not to automate but to amplify their decision-making - and what that means for the leadership of tomorrow.
Read →Can We Do It? AI Enablement in Companies
How companies prepare their workforce for AI - with examples from HTEC, Crowe and Adobe plus five concrete tips for your own enablement strategy.
Read →AI 2030: Work, Education, Health - Everything Changes?
A look ahead at AI's impact on the economy, politics, education and health by 2030 - and why we must actively shape the future now.
Read →When Algorithms Compose: AI as Conductor of Our Emotions?
How AI with tools like Suno and Udio generates music, exploits the psychology of expectation - and what that means for human creativity.
Read →Grazed: Synthetic Data Trains AI
When real data stocks are exhausted: how synthetic data enables AI training, what advantages it offers, and where its limits lie.
Read →Our Digital Doppelgängers: Synthetic Humans
AI-generated users simulate human behavior for market research - a fascinating opportunity, but no replacement for human expertise.
Read →What's Next in Generative AI? A Stocktaking
Multimodality, small models, autonomous agents, open source and industry solutions - the key generative AI trends and what they mean for companies.
Read →Discover - Install - Start Doing: The Fascination of Local (gen)AI
A hands-on tour through local AI tools like LM Studio, GPT4All and Forge - and why trying things yourself is still the surest way to learn.
Read →Digital House Elves: Autonomous AI Agents
What autonomous agents based on large language models can do, how they are built - and why it pays to start doing it yourself now.
Read →Just Hype? The Gartner Hype Cycle 2024 for Artificial Intelligence
What the Gartner Hype Cycle 2024 reveals about the maturity of AI technologies - and why AI engineering and responsible AI now matter.
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