Posts

Use of AI: define your own goals and processes!

2 Min.

We hear this question all the time: “Which AI tool is the best?
Our honest answer: there is no such thing as the perfect tool.

Before clicking through tool lists or buying licenses, something much more important is needed – preparatory work. Really good results with AI can only be achieved if everyone involved sits down together first and clarifies what they want to achieve: What do we actually want to achieve? What processes are already in place? And where does the shoe really pinch?

Why many AI projects fail early on

The fact that AI projects often stall in the start-up phase is rarely due to the tool itself. In most cases, there is no clear plan, because AI is not a ready-made, off-the-shelf solution – it only becomes real added value through the right combination of several tools.

The key questions are therefore:

  • Which processes are currently sluggish or inefficient – and why?
  • Which recurring, time-consuming tasks could AI take over?
  • Where can employees be creative again instead of just documenting or recording?

From concept to lived practice

Whether in the end ChatGPT, QuillBot, Mistral, CapCut or completely different tools are used is of secondary importance. The decisive factor is that a defined process must also be lived in everyday life. This is precisely where many companies and institutions fail – often due to ingrained routines and internal resistance.

This is exactly where we come in:
In our workshops on the use of AI, we help you to formulate clear goals, define meaningful processes and integrate AI into your day-to-day work in a sustainable way. Let’s tackle the topic of AI together.

Curious now?
Our contact persons will be happy to help:

Matthias Brinkmann
+49 911 47494949
brinkmann@twobe.de
LinkedIn

Realistic, flexible, motivating: AI as a training partner

2 Min.

On November 13, the session “AI as a training partner – mastering difficult conversations in a playful way” took place – with great interest and many exciting insights into the future of digital communication training. Numerous participants accepted the invitation from Jan-Thomas Hulha and Matthias Brinkmann to experience how artificial intelligence can support training discussions in a realistic, flexible and playful way.

A look into the future of communication training

The event focused on the question of how companies can prepare employees even more effectively for challenging conversational situations in the future – whether in employee dialog, customer communication or sales. The AI-based conversation simulations presented impressively demonstrated how real-life scenarios can be reproduced in almost perfect detail.

It was particularly well received:

  • Authentic personas and dynamic role models that recreate individual conversation situations
  • Company-specific adjustments, such as the integration of targets, products or typical pain points
  • Gamification elements that noticeably increase learning motivation and training frequency
  • Automated feedback and measurable learning progress that make training significantly more efficient

The combination of AI-based simulations and practice-oriented methods made it clear that communication training will not only become more flexible in the future, but also more sustainable, individual and motivating.

For all those who want to delve deeper

After the session, Jan-Thomas and Matthias thanked everyone for their active participation and great interest. Participants received a detailed PDF summary with all the important content.

Anyone who has now “caught fire” and would like to find out more about realistic personas, the integration of their own company data or other training options can contact us directly. Those who were unable to attend will of course also be brought up to date.

Curious now?
Our contact persons will be happy to help:

Matthias Brinkmann
+49 911 47494949
brinkmann@twobe.de
LinkedIn

AI in German: challenges and innovations

4 Min.

We live in an exciting world where technology is shaping the way we communicate and AI-powered language models are playing an increasingly important role. According to a survey from 2023, 74% of German companies say they see potential in speech recognition technologies, while 70% rate the generative potential of AI for text, images or music as high. We at 2be are also actively using AI language models because we are convinced that they optimize our work processes and enable innovative solutions.

The challenges of international AI models for the German market

Whether ChatGPT, Claude or Gemini – models of this type differ, but have one crucial thing in common: they are mainly based on English-language data. This raises an important question, especially for us in Germany: Is this a problem? Under certain circumstances, this can lead to difficulties.

  • When texts are generated by AI models that are not specially trained for German, there is a risk that the texts will sound generic and average rather than nuanced and idiomatic.
  • Another aspect that should be taken into account is the different quality of the answers. The English answers are often more detailed and precise, while the German answers sometimes remain more vague or omit important details.
  • Especially in specialist contexts or with newer terms, AI often reaches its limits. This can lead to newly introduced terms or specific specialist terminology not being correctly recognized or used.

The quality of an AI model depends largely on the training data. For languages such as German, which have less online data in global comparison, this is a natural handicap.

Local solutions for global technology?

However, there are already solutions to this problem: Research institutes are collecting more diverse and high-quality German texts in order to train AI models more comprehensively. The involvement of native speakers is also increasingly being considered, and work is also being done on isolated models that not only speak “generic German”, but also understand dialects or focus on specialist languages, for example.

Synthetic data: Between efficiency and challenges

This is where synthetic data comes into play. They offer the opportunity to effectively close the gaps in the training data. Our forecast: within the next few months, synthetic data sets will become one of the most important topics in the world of AI.

What is synthetic data?

Synthetic data is artificially generated information that mimics real data. It is used to train AI models when real data is difficult to obtain or there are data protection concerns. Synthetic data is a double-edged sword: The use of synthetic data offers you a number of advantages. One advantage is the protection of privacy, as no real user data is used. They also allow you to simulate a wide range of scenarios, for example from rare dialects to specific expressions. They are also available in large quantities, making them a cost-effective solution. However, generating high-quality, realistic data is technically challenging. Poor quality data can lead to erroneous or biased AI models, which has a detrimental effect on results. Another risk is overgeneralization, which could miss real linguistic nuances and complexities. However, if used carefully, they have the potential to significantly improve the technology.

The Masakhane project and its global significance

One example of how community and new data sets can be used to improve language models is the Masakhane project. This project aims to develop machine translation models specifically for African languages. Masakhane focuses on capturing the diversity and nuances of local dialects and languages such as Yoruba, Swahili or Amharic. To do this, the project works closely with communities to collect real and diverse language data. These examples show that through collaboration and the use of advanced data collection methods, cultural inclusion and technological innovation can go hand in hand.

Ready for the future of AI?

The development of AI models that fully support the German language is a crucial step for digital transformation in Germany.
Want to find out how your business can benefit from these advances?
Contact us at 2be to find out more about our AI-based solutions. Curious to find out more? Our contacts will be happy to help you: Katharina ZaunerKatharina Zauner +49 (0)911 / 47 49 49 53zauner@twobe.deLinkedIn