AI Cologne

One of the earliest use cases of large language models, i.e. text-based generative AI, was for translating text provided in one input language into another language - a literal transformation of source to target if you will - greetings almighty transformer model. Before that, translation was often based on rule-based and or statistical models like Hidden Markov models, and later some variant of the recursive neural network models like RNN and LSTM. But then the transformer came, and blew everything that was before out of the park. While many more powerful, novel and interesting adoptions of generative AI for text have taken center stage in the last month and years, the translation of text from one language into another language still feels magical. Just a few years back we would have searched for individual words in our offline or online dictionaries and translated between German and English or any other language word by word. We would have depended on our or someone else's experti...

  Introduction In today’s fast-paced corporate environment, managers and executives frequently find themselves tasked with presenting complex information to diverse audiences. Crafting a compelling narrative for a presentation—whether it's about a project update, evaluating a technology, or pitching an idea—requires time, focus, and creativity. But what if there was a way to streamline this process while enhancing its effectiveness? Generative AI can act as your creative assistant, helping you outline, structure, and refine presentations tailored to your audience's needs. Surely, it often acts as my personal assistance. In this post, we’ll explore a real-world use case of leveraging Generative AI to create a presentation, demonstrating how it can save time, enhance communication, convince and possibly excite your audience. From Blank Slide to a first Narrative Picture this: you’re tasked with introducing a new technology to a mixed audience of experts and non-speciali...

Today’s post is about how I use Generative AI to streamline one of my day-to-day responsibilities. As a group manager, efficiency and precision are at the core of everything we do. Generative AI is a game changer to analyze and transform natural language. Naturally, I use Generative AI to draft documents. One such workflow involves drafting job profiles. So, let’s dig deeper. The Traditional Way of Creating Job Profiles Before Generative AI, whenever I had to create a job profile, I went through the same motions repeatedly: Solve writer’s block look at post profiles and a lot of back-and-forth. I would get input from various sources, compile responsibilities, required skills, and experience, and then refine the language to ensure it was clear and engaging. This process cost time and often inconsistent. Enter Generative AI With Generative AI, we’ve cut down the time spent on drafting job profiles significantly. Here’s how it works in our day-to-day operations: 1. Data In...

The AI Revolution Is Here - But What Does It Mean for You? In the past two years, Generative AI has moved from research labs into our daily lives through applications like ChatGPT, Midjourney, or Anthropic's Claude. While the media buzzes with predictions about an AI revolution, the singularity or arrival of Artificial General Intelligence, many technical managers like myself are asking a practical question: "How does this actually help me?" I found myself asking the same question. After all, I've been writing documents, sending emails, and creating presentations throughout my career. They served their purpose - so why change now? The Training Dilemma Consider how we traditionally improve our professional skills: We attend technical writing workshops We participate in project management training We learn presentation techniques Yet, these traditional approaches often fall short for two main reasons: 1. The Practicality Gap Many training methods are either too theoreti...

In the ever-evolving world of technology, many of us are striving to make sense of artificial intelligence (AI)—a field that is rapidly reshaping industries and economies. While grasping the technical aspects of AI is one challenge, understanding its broader implications on the economy and by extension to our daily lifes is another. This is where expert insights coming from politicians, researchers, or economic leaders become invaluable. A standout resource for anyone interested in AI's impact on the economy is Stanford University's lecture series, "The Age of AI" (ECON295/CS323). This series offers a deep dive into the intersection of AI and economic trends, providing a nuanced view of what the future might hold. At this point the series has just been made available, while it seemingly started earlier in the year. The second lecture features Eric Schmidt, former CEO of Google. Schmidt brings a wealth of experience to the table, sharing his perspective on the curren...