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SCHWALBE AI COMPETENCE CENTER

Welcome to the world of artificial intelligence (AI)!

The AI Competence Center is your gateway to all questions relating to AI. What exactly is AI? What are the advantages of using AI in everyday life at Schwalbe? And why is it important to talk about the potential uses and risks of AI at an early stage? You can find the answers here.

There are already many possible uses for AI. Our aim is to ensure that AI is used correctly at Schwalbe. We want to arouse curiosity about the new technology and discover possible applications for Schwalbe together with you.

If we use AI sensibly as a company, we will become more competitive, more agile and more adaptable - in a constantly changing market. The possibilities are limitless!


What is AI?

Artificial intelligence (AI) is the field of computer science that deals with the development of systems that can perform human-like intelligence. These technologies enable machines to learn from experience, recognize patterns and make decisions autonomously. However, artificial intelligence is also a very broad term. Depending on the definition and application, it also includes systems that work according to fixed rules and do not actually develop any intelligence of their own. In any case, AI has had an enormous impact on numerous industries in recent years and offers innovative solutions to complex challenges.


Typen von KI

Machine Learning

Machine Learning

Machine learning learns from data, can identify correlations and recognize patterns. The patterns and correlations can be applied to new, unknown data in order to make predictions.

Deep Learning

Deep Learning

Deep learning is a part of machine learning. It is somewhat more complex and works with artificial neural networks, i.e. a large number of algorithms that can process information on a large scale. A deep learning system can also understand and process unstructured data such as text, images or videos.

Generative AI

Generative AI

Generative AI is a part of deep learning. LLMs (Large Language Models) were developed specifically for the generation of text-based content and pre-trained with extensive data sets. A prominent example is ChatGPT from OpenAI.


What is Generative AI suitable for?

Artificial intelligence (AI) is becoming increasingly important for companies, as it not only increases efficiency but also creates new opportunities for innovation. In order for companies to exploit the full potential of AI, targeted training and further education of employees is essential. Only if they understand how to use AI systems can they use the technology effectively. Equally crucial is technology integration, where close cooperation between the IT department and specialist departments ensures that AI complements existing business processes in a meaningful way. A continuous exchange of knowledge about the latest developments in the AI and bike industry also promotes innovation and helps to implement the best solutions in a targeted manner. Companies that take a strategic approach to these aspects can secure long-term competitive advantages.

Scalable content production
Co-pilot in everyday life
Support for creative processes
Analysis of large amounts of data

This is a considerable relief for companies in the area of content marketing and SEO, as content production can thus be easily scaled. SEO-optimized product descriptions can be generated based on just a few pieces of data.


AI provides great added value as an assistant in everyday working life. It is not for nothing that Microsoft has named its AI integration “Copilot”. It helps to automate time-consuming and repetitive tasks. For example, when you want to quickly convert certain data into another form, answer questions about texts and translate, summarize or sort content.


Although AI cannot develop completely new ideas, it supports creative processes such as brainstorming or decision-making. It provides ideas and approaches that may not have been on the radar and can serve as a starting point for new projects.


AI can handle large volumes of data better than humans can and recognize trends, patterns or special features.


AI @Schwalbe - We create competence!


Companies need ideas for the use and a framework for dealing with artificial intelligence. The AI Competence Center is an important pillar of Schwalbe's AI strategy and an efficient, easy way for all employees to start using AI, identify potential applications and develop AI skills!

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VISION

  • AI as a tool to support and relieve employees in their day-to-day work.

  • Promoting a collaborative working environment in which people and AI work together

  • Employees can concentrate on more demanding tasks while AI takes over routine tasks

IDEA

  • Training and further education platforms: AI-powered learning platforms that help employees continuously improve their skills.

  • Personalized work support: AI-powered tools that help employees work more efficiently by providing customized workflows and recommendations.

  • Virtual assistants: AI-based assistants that support employees with administrative tasks and requests.

GOALS

  • Increasing employee satisfaction: Relieving employees through AI-supported automation of routine tasks.

  • Increase productivity: Improve efficiency through intelligent work tools and support in decision-making.

  • Promote continuous training: Ensure that employees are always up to date with the latest technology.


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The Schwalbe Co-Pilot

Your introduction to the practical application of artificial intelligence. The Co-Pilot is a secure AI solution for Schwalbe that allows you to recognize and use the potential of generative AI. Turn the Co-Pilot into your personal AI assistant. You can use the Co-Pilot similar to ChatGPT to support your daily tasks. Deepl is also connected to make translation management easier for you. Access is via a single sign-on procedure. As soon as you have been activated, you can get started right away.


To the Co-Pilot

Your contacts for all things AI


Get in touch with us if you:

  • have any questions about AI
  • would like to share your ideas with us
  • you would like to try out certain tools
  • would like to actively work on the topic of AI@Schwalbe

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KI Guide

The guide to the use and responsible handling of artificial intelligence


To the guide

KI Guide

The guide to the use and responsible handling of artificial intelligence


To the guide

Do's

  • Define goals: Before using AI, make sure you have clear goals and a specific area of application. Be clear about how you want AI to optimize your processes, be it in production, sales or customer service.

  • Train employees: Make sure that all employees who work with AI systems are adequately trained. AI should not be seen as a threat, but as support.

  • Ensure data quality: AI thrives on data. Make sure that the data used to train the system is clean and up-to-date. Incorrect data leads to incorrect results.

  • Maintain transparency and control: Ensure that the AI's decisions are comprehensible and transparent. It should always be possible to trace the AI's decision-making process. 

  • Check cost-effectiveness: Before you invest in an AI solution, check its profitability. Analyze whether the effort and costs are justified based on the expected savings and improvements.

  • Obtain feedback and improve: AI systems need to be regularly reviewed and adjusted. Collect feedback from the employees who work with the AI and continuously optimize the systems.

Dont's

  • Do not trust blindly: AI systems are not “black boxes”. Do not rely completely on the results without checking them. Even if AI is very powerful, errors can occur - especially with incorrect training data.

  • No uncontrolled data collection: Make sure that only data relevant to AI use is collected. Data protection regulations must be adhered to at all times in order to maintain the trust of customers and partners.

  • Do not see AI as a substitute for human creativity: In product development or customer service, AI should be used as a tool for support, not as a replacement for human intuition and creativity. 

  • Do not work in isolation: AI should not be implemented in a “silo mindset”. It is important that all departments work together and share their findings and data to make the best possible use of AI.

  • Avoid complexity: Start with simple applications of AI and go step by step. Overly complex systems that don't integrate well with existing processes could cause more problems than they solve.

  • Excessive automation: Too much automation can impair personal contact and the quality of human work. Especially in customer-oriented areas, such as service, it is important to find a balance.


Tools & Technology

Gives you an overview of tools and technologies and what they can be used for. Here you will also find a risk assessment for the tools. There are AI applications that can be used without hesitation, but also those that must not be used in the corporate context.

ChatGPT is an AI-powered chatbot based on natural language processing (NLP) and developed by OpenAI. It can hold human-like conversations, answer questions, generate, translate, summarize and analyze texts. It also supports creative writing processes, helps with programming, can carry out research and automate simple tasks.

To ChatGPT

An AI search engine and model series that specializes in the analysis and generation of texts. It is often used for research purposes and information processing.

Cannot be used in the company

An AI-supported assistant from Microsoft that is integrated into various products such as Windows, Microsoft 365 and Edge. It helps with the automation of tasks, text creation and code generation.

To Microsoft Copilot

A series of open source language models from Meta (Facebook) that were developed for natural language processing. They serve as an alternative to other large language models and are used in research and industry.

To Llama

An AI-supported notebook from Google that helps to structure, summarize and process information. It combines AI with personal notes to facilitate research and writing processes.

To Notebook LM


Weitere Informationen

84 Prompting-Tips

84 Prompting-Tips

Registration KI Newsletter

Registration KI Newsletter

KI Glossar

KI Glossar


The EU AI Act

AI competence is mandatory from 2025: New legal requirements of the EU AI Act. With the AI Act, the European Union has created a groundbreaking regulation for dealing with artificial intelligence (AI), which contains strict requirements for transparency, risk management and ethical standards for the use of AI systems. From February 2025, new legal requirements for AI competence will come into force, affecting both companies and their employees. With these measures in place, companies are well equipped to meet the new legal requirements for AI skills and to ensure the safe and effective use of AI technologies.


• AI competence is mandatory from 2025 under the EU AI Act.


• Companies must ensure that their team members receive regular training and have a sufficient level of AI expertise.


• Providers and operators of AI systems must implement new legal requirements and ensure the conformity of their AI systems.


• Training and awareness-raising measures are crucial to ensure the safe use of AI systems.


• Violations of the legal requirements can lead to considerable fines and reputational damage.


Workshop zum Thema Prompten

Damit ihr das Beste aus dem KI CoPiloten herausholen könnt und interessante Anwendungsfälle für euch entdeckt, laden wir euch zu unseren Workshops zum Thema Prompten ein, die wir in Zusammenarbeit mit unserem Partner Brandung anbieten. Dort erfahrt ihr z.B., wie ihr mit den richtigen Eingaben (Prompts) präzise und nützliche Ergebnisse erzielt.

24.03.2025 (Montag)

10.00 - 12.00 Uhr (deutsch)

31.03.2025 (Montag)

14.00 - 16.00 Uhr (deutsch)

11.04.2025 (Freitag)

10.00 - 12.00 Uhr (englisch)

Hier geht's zur Anmeldung!


Zum Co-Piloten

To the Co-Pilot

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