by Sandro Droese | Jan 27, 2025 | News from magility
We at magility are starting the new year 2025 with a lot of energy and enthusiasm! Together with our customers, partners and the entire team, we are looking forward to exciting projects, pioneering innovations and many inspiring encounters. But before we turn our full attention to the future, let’s take a look back at the past year.
A look back at 2024: successful projects and valuable milestones
2024 was a year that brought us exciting challenges and outstanding projects. We would particularly like to highlight our work on the TCO (Total Cost of Ownership) simulation tool for the electrification of a truck fleet, which impressively demonstrated how practical and efficient sustainable mobility solutions can be realised. These and many other projects have not only helped our customers in the mobility sector, but have also shown how important it is to work together towards a more sustainable future.
Last year, it became clear once again how important collaboration with start-ups is for the progress of established companies. In a world characterised by technological advances and new business models, start-ups in particular offer fresh ideas, agility and a spirit of innovation that have the potential to transform entire industries. Whether in the fields of artificial intelligence, sustainable technologies or digital platforms – partnerships with young, dynamic companies have not only produced exciting projects, but also paved the way for long-term innovation.
Startups from the Magility network on the road to success
In our experience, most start-ups have a strong technical understanding of their product. However, they often lack a clear strategy on how to efficiently tap into the target market and realise the maximum benefit there.
With our expertise in the area of go-to-market, we support start-ups in transforming their technology into concrete market successes. One example from 2024 is an Israeli start-up that we have successfully placed in a promising market and with which we are now in the proof-of-concept phase.
We also supported a local German start-up that is highly complementary to the Israeli AI start-up. By networking the two companies, we were able to develop clear unique selling points (USPs) in their respective market positioning. Our extensive industrial contact network enables us to open initial doors for reference customers and drive forward the implementation of the identified go-to-market strategies in a targeted manner.
The outlook for 2025: trade fairs and events
This year, we will once again intensify our personal meetings and presence at industry events. Our agenda is already packed with exciting trade fairs, colloquia and events.
Here are some of the highlights where you can meet us:
- Corporate Mobility Conference (CMXC): We look forward to talking to you about the future of mobility.
- Power2Drive Europe in Munich: In May, we will be an exhibitor at Smarter E Europe and are looking forward to exciting discussions, particularly with fleet managers, on topics such as energy transformation in fleet management.
- Vienna Motor Symposium May 2025: A little later, we will be part of this important industry get-together. On 15 May in the Ceremonial Hall of the Vienna Hofburg with the presentation ‘Truck to Zero: Strategic Rollout and Heavy Electric Trucks in 24/7 Operation. Drivers and challenges for the industrial transformation.’
- Trade fairs at Messe Stuttgart: Numerous exciting events are planned – more detailed information will follow soon.
Focus 2025: Innovations for a sustainable future
For us, 2025 is all about sustainable mobility and decarbonisation. A small selection of our services:
Also in topics such as:
- Carbon offsetting
- ESG rating
- ESG management system
we will be supporting our customers this year.
These products reflect our commitment to creating holistic solutions for the challenges of our time. Our aim is to support companies in taking ecologically and economically sustainable paths.
If you would like to find out more, you are welcome to read our blog! We have selected 4 suitable articles from the last 20 months for you here:
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Stronger together: We welcome our new partners at magility!
A warm welcome to our new partners!
At magility we know: Innovation and success thrive best in strong cooperation. That’s why we are particularly pleased to welcome new partners to our network this year! Experienced industry experts such as Dr Dirk Walliser, Ivo Rauh or visionaries such as Patrizia Luchetta in the field of ESG – each new member brings fresh perspectives, exciting ideas and unique expertise. We would like to introduce them briefly:
Ivo Rauh
Ivo Rauh brings with him an impressive career of over 20 years in leading positions, including nine years as a board member at Dekra as well as CEO of TÜV Nord International Group and Independent Director on the Board of Directors of Eurofins Scientific SE. Today, he is the owner of IR-Consulting and supports companies with his in-depth expertise as a supervisory board member, advisory board member and coach. With his many years of experience, he will enrich our team, particularly in matters of strategic corporate development and the management of complex projects.
Dr. Dirk Walliser
With management positions at Daimler, MBtech, Eberspächer, Qorix, Federate and most recently as CTO of the ZF Group, Dirk Walliser has extensive experience in the automotive and supplier industry. His expertise lies in the development of innovative technologies, strategic planning and the management of complex, global projects. As a partner, Dirk Walliser will support us in technological and strategic issues, in particular in the further development of modern solutions for the automotive industr
Jens Pohl
Jens Pohl works as a freelance Senior Executive Advisor, Senior Consultant, and Non-Executive Director. He supports technology companies, consulting firms, and private equity firms in the areas of strategy, innovation, transformation, growth, and restructuring. In his current supervisory board and senior advisory roles, he serves on the supervisory board of the VALMIERA GLASS GROUP in Latvia on behalf of the British private equity firm Warwick Capital Partners. Additionally, he is a supervisory board member and senior advisor for Concept AG, a subsidiary of Bertrandt AG, and a shareholder in the battery system supplier Smart Battery Solutions GmbH. He also works as a freelance Senior Advisor at Roland Berger Strategy Consultants. At Smart Battery Solutions GmbH, in addition to his role as a shareholder, he held the position of CEO from 2021 to 2023, following his advisory role for the management and the private equity majority shareholder. Prior to that, he held several top management positions, including COO and shareholder of Mackevision Medien Design GmbH (2015-2019) and CEO of Voith Engineering & Consulting Services GmbH (2012-2015). His career began in 1994 at Mercedes-Benz, where he held various management positions for a total of 18 years. These included a leadership role at Mercedes-Benz Technology GmbH (MBtech), global project leadership for G&A restructuring and the implementation of a new corporate leadership and governance model, as well as Managing Director and Chief Procurement Officer (CPO) at Toll Collect GmbH, where he played a key role in the successful restructuring and implementation of the German truck toll system.
At Magility, Jens Pohl has been serving as a Senior Executive Advisor since October 2024. His focus at Magility is on consulting in energy transformation, innovative business models, ESG management, and sustainable mobility.
Patrizia Luchetta
Patrizia Luchetta combines international expertise in strategy development with a special focus on ESG (environmental, social and governance) issues. As the former head of Luxembourg’s national life sciences strategy and co-founder of the non-profit organisation Charlotte in Red, she brings a unique combination of innovation and strategic thinking. With her experience in building strategic partnerships and her passion for sustainability, Patrizia will support our team especially in ESG issues and in the implementation of innovative projects.
Dr Rainer Balbach
In addition to introducing our new partners, we would also like to highlight Dr Rainer Balbach, who has been with us for many years as a reliable and highly valued partner. Dr Rainer Balbach is a proven expert in the fields of foundry, 3D printing and e-mobility. With over 35 years of experience at Daimler in leading positions and hundreds of turnkey projects worldwide, he has outstanding expertise in the optimisation of supply chains, industrialisation and the introduction of digital production systems. His in-depth knowledge of lean management, process optimisation and sustainable production makes him a valuable consultant for our team, especially in the automotive and supplier industry.
Together with our new partners, we want to further exploit the potential of B2B market development, realise forward-looking projects and break new ground for sustainable innovation.
We are looking forward to 2025 – and to you!
The new year promises to be a year full of exciting moments and shared success stories. Whether at the CES in Las Vegas, at the Corporate Mobility Conference or at one of the trade fairs in Stuttgart – we look forward to meeting you in person, exchanging ideas and shaping the sustainable future of mobility together.
Let’s make 2025 a year in which we take big steps towards sustainability and innovation together with your company! Here’s to a successful, inspiring and sustainable 2025! For the latest news and notifications about new blog articles, you can also follow us on LinkedIn.

by Nada Welker | Jun 10, 2024 | Artificial Intelligence
Despite the promise of AI, there are serious challenges to overcome. Data protection, ethical concerns and the potential for abuse are just some of them. It is essential that we take a serious look at not only the opportunities, but also the risks of AI, and take appropriate measures to address them. But first, let’s look at the potential of artificial intelligence from a mathematical perspective. Dr. Julian Feinauer, founder of Pragmatic Industries and Pragmatic Minds, explained very clearly at the event “Artificial Intelligence – Opportunity or Challenge?” initiated by Dr. Natalie Pfau-Weller in Kirchheim unter Teck in April 2024, what artificial intelligence actually is from a mathematical perspective, what its potential is and what artificial intelligence has to do with energy.
Linear Regression and Artificial Intelligence
Most people are familiar with the concept of linear regression from their 8th grade curriculum, which involves the simple formula Ax+B. However, in the world of artificial intelligence (AI), this concept expands exponentially. Instead of just two axes of coordinates, as in linear regression, we have countless axes. The result is no longer a simple line, but a dynamic, moving surface. With models that have over 400 billion or even 700 billion parameters, it becomes clear just how complex and powerful AI can be. From a mathematical point of view, this is the essence of AI.
AI application examples
Artificial intelligence offers endless opportunities for progress and innovation. From automating work processes to developing personalized solutions, AI has the potential to transform almost every aspect of life. With the ability to recognize patterns, make decisions and solve complex problems, AI is paving the way for all kinds of new possibilities. Here are some of the examples Dr. Feinauer used in his presentation to illustrate how AI is already being used today.
Image generation with artificial intelligence
Generated images have attracted a lot of attention recently, especially in relation to the question of which of these images are real and which are not. It is fascinating to see how AI models such as VASA A1 are able to generate complex visual and auditory content from a single photo and a soundtrack. But how exactly does this work?
If a very noisy image is presented to an AI for denoising and the AI is repeatedly instructed to enhance the image, it will most likely recognise and filter out certain patterns. For example, a cat in a very noisy image can be uncovered by repeatedly instructing the AI to denoise the image. This demonstrates the AI’s amazing ability to recognise and reconstruct complex patterns.

The technology behind AI-based image generation is developing rapidly. The next step in image generation is AI video generation. Just recently, Microsoft introduced VASA A1, one such tool.
AI video generation from photos and audio: impressive progress
AI conquers video editing
With tools such as VASA A1, it is now possible to create a realistic animated video from a single photo and a soundtrack. The results are amazing. The AI can animate faces realistically and even synchronise lip movements with the audio track. The result is a smooth and natural video that is almost indistinguishable from real film footage at first glance. Despite this progress, there is still room for improvement. In some cases, small errors can occur, such as slightly slipped teeth when speaking. The AI-generated environment also still looks a little artificial at times.
Basically, AI video generation follows the same principle as image generation and can be seen as a kind of de-noising. Based on the photo and the audio track, the AI “removes” blurriness and inaccuracies and fills the gaps with realistic details.
Development is progressing rapidly. It can be assumed that AI video generators will deliver even more precise and realistic results in the near future. This could fundamentally change the way we create and consume videos.
Potential fields of application
There are many potential applications for AI-generated video. For example, they could be used in film production, advertising, education or even social media.
Ethical concerns
However, the new technology also raises ethical concerns. For example, AI video generation could be misused to create deepfakes, i.e. videos in which people are portrayed in a manipulated manner. It is therefore important that this technology is used responsibly.
AI video generation is still at an early stage, but offers enormous potential. As the technology develops, we can expect even more amazing and realistic videos in the future. However, it is important to be aware of the ethical concerns and use the technology responsibly.
Language models with artificial intelligence
Another area that is developing rapidly is large language models such as ChatGPT. These models are based on the principle of probability calculation, where each word is assigned a specific number and the probability of the next word is calculated based on the previous context. By training with huge data sets, the AI can learn to generate realistic-looking texts and even respond to questions. However, Dr. Feinauer shows in his presentation that the answers are not always accurate using an application example with ChatGPT. He asked ChatGPT for Dr Natalie Pfau-Weller, CDU member of parliament for the Kirchheim unter Teck constituency, and received a humorous answer.
In the world of artificial intelligence, Dr. Pfau-Weller is a hit star. She has even released resounding hits and delights her fans on tour.
This apparent reality reveals a crucial weakness of language models. The use of tools such as ChatGPT or Gemini can undoubtedly make life easier by automating complex tasks and saving time. However, it is essential to always use common sense to check whether the results generated correspond to the actual truth. Despite these weaknesses, language models can be useful tools if they are used responsibly. However, it is important to be aware of their limitations and to recognise their weaknesses.
The weaknesses of language models
- Prejudice and discrimination: Texts can be discriminatory or offensive.
- Lack of factual accuracy: Texts can be grammatically correct but not correspond to reality.
- Manipulability: Texts may contain fake news or propaganda.
- Lack of common sense: Texts may be correct but not make sense.
- Lack of creativity: Texts often resemble training data and are not really creative.
Additional limitations:
- Size and computing power: High demand on computing power for training and use.
- Data availability: Large amounts of data required for training in new languages or domains.
- Cost: Training and utilisation can be expensive.
- The energy demand resulting from the high computing power requirements of AI applications.
Where do we actually get the energy for AI applications?
A single ChatGPT query consumes around 3000 watt-hours of energy, the equivalent of 21 cups of coffee or driving around 1.4 kilometres in an electric car. It is interesting to note that the energy consumption of a single ChatGPT query is equivalent to the energy consumption of 1000 Google searches. Assuming that each of ChatGPT’s 100 million active users makes only one query per month, this would correspond to a total energy consumption of 2.1 billion cups of coffee.
According to a study by Joule magazine, the energy consumption of AI-related computing could exceed 134 terawatt-hours by 2027. 134 TWh. To put this in perspective, all German households together consume just over 100 TWh per year.
When we talk about training AI models, the energy requirements of these models often exceed the energy consumption of many households. Everyone should be aware of this when using AI models. It is more important than ever that we find sustainable ways to meet this immense energy demand, which will only increase in the coming years. AI is here to stay, and models will continue to be developed and used. That takes energy.
Ethical issues and social impact
The introduction of AI also raises important ethical questions, particularly in relation to its impact on our society. Issues of justice, equality and transparency need to be carefully considered to ensure that AI is used for the benefit of all and not to the detriment of some. When we consider the likely response to the question of how authoritarian states might use these developments, we conclude that it is of the highest priority to monitor ethical responsibility in the use of AI models.
Regulation for AI applications – EU AI ACT
With the growing influence and proliferation of artificial intelligence (AI) in various areas of the economy and daily life, the need for appropriate regulation to make the use of this technology safer and more ethically responsible is also increasing. In this context, the European Union (EU) has recently proposed the AI Act, a landmark legislation that aims to establish clear rules for the development, use and monitoring of AI applications. The AI Act is currently at an advanced stage of the legislative process. Extensive discussions, consultations and assessments have already been conducted to scrutinize the various aspects of the Act and ensure that it meets the needs and requirements of both industry and society. Although the exact timetable for the adoption of the AI Act has not yet been finalized, there is every indication that the EU Member States and the relevant institutions are determined to move the process forward and improve the regulation of AI applications in the foreseeable future.
A summary of the main contents of the EU AI Act
- Risk-based classification: AI systems are categorised based on their risk potential, with strict requirements for high-risk systems.
- Data protection and human rights: The AI Act protects privacy and personal rights by preventing invasive or discriminatory use of AI technologies.
- Transparency requirements: Clear transparency requirements apply to certain AI systems, such as chatbots, to educate users about AI interactions.
- Technical requirements: The act requires the development of AI systems that respect human autonomy and avoid harm.
- Prohibited practices: Certain applications that could undermine the free will of users are explicitly prohibited
Opportunities
- Process optimization: AI enables a significant increase in process efficiency through automation and more precise control of business processes.
- Data-based decision-making: AI helps companies gain valuable insights from large amounts of data, enabling them to make informed decisions and increase their competitiveness.
- Personalized customer approach: AI enables companies to develop customized marketing strategies and products that are better tailored to customers’ needs and preferences.
- More efficient supply chain management: AI helps optimize supply chains by improving forecasting and tracking of deliveries, resulting in lower costs and faster delivery times.
- Increasing operational safety: AI can help to increase safety in the workplace by monitoring and predicting potential hazards, especially in the manufacturing industry.
Risks
- Data protection concerns: AI systems that process large amounts of company and customer data harbor the risk of data breaches that can jeopardize customer trust and compliance with legal regulations.
- Decision bias: If AI systems are trained on the basis of biased or incomplete data, they can make erroneous or discriminatory decisions that pose legal and reputational risks.
- Security vulnerabilities: AI-based systems can be the target of cyber attacks that jeopardize not only IT security, but also the physical security of automated or autonomous systems.
- Overdependance on technology: The frequent use of AI systems can lead to strong dependency and the associated loss of critical thinking and decision-making skills, which is particularly risky in crisis situations.
- Regulatory compliance: The rapid development of AI technology can lead to uncertainties in complying with existing and future regulatory requirements, which poses legal challenges for companies.
by Nada Welker | Jun 3, 2024 | Artificial Intelligence
The AI application areas
The use of AI can be divided into 7 different application areas. However, in view of the continuous development of AI technologies, this is only a snapshot of the current situation.
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- Integrating AI can make businesses more efficient and unlock new avenues for innovation.
- A tailored strategy, analyzing the business model and identifying market opportunities, is crucial.
- A thorough examination of the competitive landscape and organizational adjustments are necessary to successfully implement AI.
- Leveraging AI-driven tools enables comprehensive optimization of business processes and the value chain.
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The areas of application for artificial intelligence (AI) are diverse and range from image generation and coding to language processing and 3D modelling.
In the field of image generation, AI enables the automated creation of images, including for commercial purposes, which saves time and money and supports the creative process.
In coding, AI models are used to generate code, which speeds up software development and increases developer productivity.
Text generation is another area of application where AI models can create text based on specific inputs, which can be used for content creation, translation and other applications.
In the video sector, AI enables the creation, editing and optimization of videos. This in turn simplifies the production of content.
In speech processing, AI models can convert text to speech, analyze and synthesize speech, which is used for voice assistants, subtitling and more.
AI also has applications in 3D modelling and research and development, where it can simulate, analyze and optimize complex models to gain valuable insights and drive innovation. Artificial intelligence in research, for example, accelerates knowledge gain through data analysis, predictive modelling, optimization of experiments, laboratory automation and the discovery of new drugs and treatments.
The selection of AI tools is differentiated depending on the area and use case, whereby the use of AI tools from a single category or from several categories may be required. The market for AI tools requires continuous monitoring and analysis.
Future-proof: How to implement AI in your company
In the fast-paced world of technology, it’s essential that organizations equip themselves for future-facing technologies such as Artificial Intelligence (AI). Integrating AI can not only increase efficiency, but also open up new opportunities for innovation and growth. But how can you ensure that your company is optimally prepared for these changes?
In his presentation on “AI – opportunities and risks of artificial intelligence”, held on 19 April 2024 as part of an information event initiated by Dr Natalie Pfau-Weller, member of the state parliament for the Kirchheim/Teck constituency, Dr Michael Müller makes the following recommendations:
- Discover new business models
- Win against the market and competition
- Develop innovative products and services
- Strengthen your corporate structure
- Optimize your value chain
A comprehensive strategy
A crucial step is to develop a comprehensive strategy that is tailored to the specific needs and goals of your organization. Here are some key points to consider when developing your AI strategy:
Analyze the existing business model
Before you start integrating AI, it is important to thoroughly analyze your current business model. Identify potential AI application areas to optimize processes or open up new business opportunities.
Competitor analysis
Analyze how your competitors are already using AI and what benefits they are deriving from it. Also take a close look at what mistakes your competitors are making or have made in this regard. This can help you understand how AI is being used in your industry and what opportunities and risks are associated with it. Gain a competitive advantage over the competition.
Develop innovative products
Develop innovative products and services: Use Artificial Intelligence to develop innovative products and services that fulfill your customers’ needs and differentiate your company from the competition. Make data-driven decisions and implement more efficient processes.
Review your organization’s capabilities and structures
Ensure that your organization has the necessary skills and structures in place to successfully implement and use AI. This can include training employees, introducing new workflows and adapting the organizational structure. For new hires, make sure you hire professionals with AI skills and foster a culture of innovation to support the successful use of AI.
Identify innovative business ideas
You should also identify innovative business ideas for your company that could be realized through the use of AI. Evaluating the financial feasibility and precise implementation strategies of these ideas is essential to prepare your company for the challenges and opportunities of the future. By acting early and developing a sound AI strategy, you can ensure that your company remains successful in an increasingly digital world.
Optimizing the value chain
Check where in your company you can use AI to improve efficiency in production, logistics, sales or customer service.
Example of using artificial intelligence in your company – process mining
After you have already implemented robotic process automation (RPA), enterprise service management (ESM) and ERP automation, increase your use of process mining to automate business processes. Process mining analyses existing processes and identifies potential problems before they occur. It supports process optimization by correlating data flows. Tools such as
- Celonis Execution Management System,
- Kofax Insight,
- IBM Process Mining,
- Signavio Process Intelligence
- UiPath Process Mining
provide a solid basis for these tasks. We will soon be publishing a separate blog article about process mining on our website.
XaiTeck Solution
At XaiTeck GmbH, we have developed a holistic pyramidal approach to improve the effectiveness and efficiency of a company through artificial intelligence.

Level 1- Monitoring of legal requirements & trends and macroeconomic factors
- AI-supported text analysis: Automatic extraction and analysis of relevant information from text sources such as news articles, legal texts and economic reports.
- Sentiment analysis: identification and evaluation of sentiment in texts to recognize potential risks and opportunities at an early stage
- Predictive analytics: Forecasting future developments based on historical data and current trends in order to make informed decisions.
Level 2 – Monitoring & optimization of business models
- Process mining: Analyzing business processes using event logs to uncover inefficiencies and potential for improvement.
- Simulations: Modelling business models and simulating different scenarios to assess the impact of changes.
- Machine learning: Automatic identification of patterns and correlations in company data to find optimization opportunities.
Level 3 – Consolidation and optimization of supplier networks
- Clustering algorithms: Grouping of suppliers according to similar characteristics to optimize the supply chain.
- Network optimization: Automatic identification of the most efficient supply paths and routes.
- Negotiation support: AI-based tools for analyzing negotiation data and developing optimal negotiation strategies.
Level 4 – Management and refinement of specific assets, services and products
- Predictive maintenance: Forecasting maintenance requirements and optimizing maintenance intervals to reduce downtime.
- Recommendation systems: Personalized product recommendations for customers to increase customer satisfaction
- Chatbots: AI-supported customer support tools for answering customer questions and solving problems.
Level 5 – Monitoring and refinement of organizational processes
- Workflow automation: Automation of repetitive tasks to increase efficiency and reduce errors.
- Robotic Process Automation (RPA): Use of software robots to automate processes that were previously carried out by humans.
- AI-supported decision-making: Supporting managers in decision-making by providing relevant information and analyses.
Level 6 – Monitoring and optimization of specific process steps
- Anomaly detection: Identification of deviations from the norm in process data to recognise potential problems at an early stage.
- Root cause analysis: Automatic identification of the main causes of process errors.
- Optimization of processing times: Reduction of the time required to complete processes.
XaiTeck Solution’s approach shows how a holistic pyramid approach can improve the effectiveness and efficiency of an organization. From monitoring and analyzing legal requirements to optimizing supplier networks and refining organizational processes, this system offers a comprehensive range of AI-powered solutions. Automated text analyses, predictive analytics, machine learning and robotic process automation are used not only to optimize current processes, but also to predict future developments and initiate appropriate measures. This holistic approach paves the way for the transformative further development of companies in an increasingly digitalized world.
The market volume for AI will grow rapidly in the coming years
The increasing use of artificial intelligence (AI) in companies promises a wide range of benefits and opportunities for the future. From the optimization of processes to the creation of personalized customer experiences, new opportunities for growth and innovation are opening up. The market volume for AI is expected to grow rapidly in the coming years.
However, this development is also associated with risks and regulatory challenges that need to be overcome. There are also ethical concerns. In the next article, we will take a closer look at these aspects and examine how companies can seize these opportunities while minimizing the risks and meeting ethical requirements in order to make the most of AI’s potential. Feel free to contact us right here if we can support you with the implementation of AI solutions or if you have any further questions.
by Nada Welker | May 2, 2024 | Artificial Intelligence
Dr. Michael Müller, founder and CEO of Magility GmbH and co-founder of XaiTeck GmbH, gave a lecture a lecture entitled “AI – Opportunities and Risks of Artificial Intelligence” in April 2024 as part of as part of an information event organized by the CDU, initiated by the district councilor of Kirchheim unter Teck, Dr. Natalie Pfau-Weller. He shared the stage with Dr. Julian Feinauer, founder and CEO of pragmatic industries GmbH from Kirchheim unter Teck.
Artificial Intelligence – Opportunity or Challenge?
The event “Artificial Intelligence – Opportunity or Challenge?” was organized by Dr. Natalie Pfau-Weller, a member of the CDU faction in the Baden-Württemberg state parliament, and took place at the competence center of Heinrich Feeß GmbH & Co. KG in Kirchheim unter Teck. Dr. Pfau-Weller opened the event and emphasized that the topic of artificial intelligence is rapidly gaining significance across society and political spectrums both in society as a whole and politically.
Dr. Natalie Pfau-Weller introduces the topic
Artificial intelligence, a fascinating field of computer science, deals with how machines can develop human-like intelligence and perform tasks that normally require human intelligence. While we celebrate the potentials and benefits of this technology, we must also confront the challenges and risks inherent in artificial intelligence. The need for regulation is paramount – because AI is both an opportunity and a risk. Take for example that fact that Ai will change election campaigns with images and videos being altered, which can endanger. Ms. Pfau-Weller referred to the recent example of the deep fake image of Pope Francis in a fur coat that circulated in the media.
Examples and Initiatives – What is Politics Doing to Promote Progress?
In response to a question from the audience about what politics is doing to promote AI-related issues, Dr. Pfau-Weller mentioned the Cyber Valley near Tübingen. This project, which has been funded since 2016, is an exciting example of AI adaptation. The Cyber Valley serves as a research center for AI and has already made significant progress.
She also mentioned that even at the local level, the executive branch is beginning to explore the potentials of AI, whether it’s improving infrastructure or protecting against natural disasters. She also noted that the topic of AI was recently discussed in a municipal council meeting. These developments illustrate how AI is already present in various aspects of our lives today and how important it is to grapple with its implications.
However, since this event focused on the economic aspects of artificial intelligence, she handed over the floor to Dr. Michael Müller for the first lecture of the evening.
Magility Group – Partner for innovative Companies
Dr. Michael Müller also began with a welcome and introduced the Magility Group, a group to which XaiTeck GmbH also belongs since last year, delivering service offerings related to strategies and concepts for the use of artificial intelligence for companies. AI-supported data analysis is also part of the portfolio.

Artificial Intelligence – A delineation of key terms
Artificial Intelligence (AI) is a field of computer science that focuses on developing expert systems or even mimicking human intelligence. An important subfield of AI is machine learning, which enables machines to learn from existing data to make decisions or predictions. A specific method of machine learning is deep learning, which uses layers of neural networks to process data and make decisions. Another area is generative AI, which includes ChatGPT. This allows for the creation, improvement, and interaction with texts, images, and videos using large trained models, based on instructions.
Technological Innovations are Evolving Rapidly
Dr. Michael Müller vividly illustrated how rapidly technologies have developed in the past and how this speed will accelerate even more with the increasing number of technical innovations.

Today, an average smartphone contains more than a hundred times the computing power of a data center that cost around 50 million marks decades ago.

Already today, a person’s brain can be connected to intelligent technical systems; for example, Dr. Müller mentions exoskeletons and Brain Machine Interfaces (BMIs), which already play a significant role today, for example in the health sector, and can be implanted into the brain to reduce, for example, epileptic seizures. We already described in our Magility Blog in 2017 that artificial intelligence will play a significant role in the automotive and mobility industry. Since 2017, a lot has already happened, especially in the further development of autonomous driving, where AI applications are indispensable today.
The Future with AI – What Lies Ahead?

Future developments could involve bioprinting and energy storage, such as through nuclear fusion. Bioprinting could make human spare parts possible from the printer. The colonization of space stations beyond the moon will also become possible through nuclear fusion. All these things are no longer the contents of science fiction series or dystopias. Eventually, the associated terms and the new technologies made possible by artificial intelligence will be as commonplace as using a smartphone.
Dr. Michael Müller pointed out that AI is a common interface of driver technologies that will grow by a factor of 10. He emphasized that no government organization will be able to ignore the topics evident in the above graphics.
Five Converging Technology Platforms – Artificial Intelligence is the Reinforcing Converging Technology
Currently, XaiTeck has identified five converging innovation platforms:
- Artificial Intelligence
- Energy storage
- Robotics
- Public blockchains
- Multicom sequencing (operation of biological systems)
These are the emerging so-called “General Purpose Technologies,” which XaiTeck and it’s partners in the Magility Group believe will fundamentally transform and exponentially accelerate economic growth.
Potentials and Goals through Rapid Development of AI Technologies
The expedited growth of AI technologies Explainable Artificial Intelligence (XAI) allows us to better understand and comprehend the decision-making of AI systems. These advances pave the way for numerous opportunities and their integration across diverse domains such as in economy, healthcare, and education. By harnessing progressively powerful computing resources, we can continuously push the limits of what AI can achieve.
Computer-assisted AI systems and software, capable of evolving with data, can tackle challenges that were previously deemed unsolvable, can automate and streamline tasks and can accelerate the integration of new technologies into every sector of the economy. The introduction of neural networks is likely to be more significant than the introduction of the internet and is likely to create trillions of euros in value.
On a large scale, these systems will require unprecedented computing resources, and AI-specific computing hardware should dominate the next generation of data centers where AI models are trained and operated.
The potential for end-users is clear:
- There will be a variety of AI-driven smart devices that penetrate people’s lives and change the areas of work, play, and leisure.
- The introduction of artificial intelligence will transform every sector of the economy, influence every company, and boost every innovation platform.
Application Areas of Artificial Intelligence
In the second part of our follow-up report next week on our Maglity Blog, we will show what the application areas of artificial intelligence can look like, how companies can position themselves successfully in the age of artificial intelligence to ensure the effectiveness and efficiency of their own businesses, how companies can adapt their business models, and what role process mining plays.
Opportunities and Risks of Artificial Intelligence for Companies
In the third part of our follow-up report, we will outline the opportunities and risks of artificial intelligence for companies, address ethical issues and their societal impacts, present a case study on the use of AI (using an innovative election campaign concept for Dr. Pfau-Weller for the next state election in Baden-Württemberg), and clarify what dreamgirl have to do with AI. We will also report on Dr. Julian Feinauer’s lecture, which delves into the connection between coffee cups and AI and energy consumption, and how driving an electric vehicle relates to this.
Stay tuned for further details, and if you have any questions, feel free to contact us here.
by Nada Welker | Feb 5, 2024 | Electrification, Future Trends, Market development & Trends, strategy in change, Technologies for new markets
The conference on “Energy transition in Viticulture – New Concepts for Sustainability” at the Weincampus Neustadt was a great success. The event took place on January 31, 2024, in the auditorium of the Service Center for Rural Areas (DLR) Rheinpfalz as an interactive format, attracting a diverse group of wine experts, vintners, and enthusiasts.
Participants were invited to delve into the challenges posed by the energy transition for the German wine industry. The focus was on the issues and opportunities for small and medium-sized wine businesses, particularly in terms of potential savings and the generation and storage of renewable energy. Commencing at 4:30 PM, the event provided an in-person experience at the DLR Rheinpfalz auditorium, with the option for virtual participation via the livestream at https://schlagabtausch.ef-sw.de/.
Energy transition in Viticulture – Panel Participants
The panel discussion brought together renowned experts from the wine industry to share their perspectives. Discussion participants included Dr. Michael Müller, Managing Partner of Magility GmbH from Wendlingen am Neckar, along with Jochen Schmitt from Weingut Egon Schmitt in Bad Dürkheim, Matthias Wolf, Managing Director of Weingut Schloss Ortenberg, Hans-Christoph Stolleis, Owner of Weingut Stolleis in Neustadt an der Weinstraße, Saskia Wörthwein, Managing Director of Weinmanufaktur in Untertürkheim, and Moritz Prinz zur Lippe, Apprentice at Weingut Ökonomierat Rebholz in Siebeldingen.
A Sign of Sustainability in Wine Production
The discussion focused on ways to make wine production more sustainable, shedding light on the role of renewable energy in viticulture. Participants learned how small and medium-sized wine businesses can achieve savings while contributing to the energy transition. The conference was free of charge, allowing for spontaneous participation, fostering a broad engagement and ensuring diverse perspectives were heard.
In conclusion, the event served as a successful forum for exchanging ideas and information about the energy transition in viticulture. Weincampus Neustadt thereby set an important example for more sustainability in wine production and promoted dialogue between industry experts and practitioners.
The Multidimensionality of Viticulture: A Look at the Levels of Success
Viticulture, a complex and multifaceted industry, is influenced by various levels ranging from global trends to specific growing conditions. Dr. Michael Müller provided a closer look at these levels in his presentation, vividly summarizing them for the participants.
Level 1: The World – Global Trends and Politics
At the highest level, global trends and political decisions on a global scale come into play. Climate change and globalization are examples of factors that can influence viticulture worldwide, requiring continuous adaptation by the industry.
Level 2: Region – Climatic Conditions and Legislation
The second level is the region, where climatic conditions play a crucial role. In Germany, wine regions like Pfalz, Mosel, Rheingau, and Baden are of great importance. Here, laws, regulations, infrastructure, and cultural factors influence viticulture. The German Wine Law is an example of a norm with significant influence on the regions.
Level 3: Soil, Terroir, Topography – Influence on Taste
On the third level, soil, terroir, and topography come into play. These complex factors mutually influence each other and significantly shape the taste of the wine. Each wine-growing region has its own peculiarities that manifest on this level.
Level 4: Vine, Vineyard – Grape Variety, Cultivation Method, Care
The fourth level encompasses the vine and the vineyard. Here, the choice of grape variety, cultivation method, and care are crucial. Different grape varieties are suitable for various cultivation methods, resulting in a diverse wine landscape.
Level 5: Harvest, Vinification – Technique and Vinification
The fifth level includes the harvest and vinification. The choice of harvest technique, vinification, and aging significantly influence the quality of the wine.
Level 6: Brand, Marketing, and Sales – Identity and Distribution
On the sixth level, brand, marketing, and sales take center stage. Here, brand identity, marketing strategy, distribution channels, and sales play a decisive role in market success.
Overall, this hierarchical approach illustrates that viticulture is a multidimensional industry, requiring careful considerations and adjustments at each level to ensure quality and competitiveness. A profound understanding of each level enables vintners to operate successfully in this challenging environment.
Energy transition in Viticulture – Summary of Participant Voices
- Need for Savings: There was unanimous agreement among participants that measures to save resources and energy in viticulture are inevitable.
- Reflection and Implementation Speed: It was emphasized that while much thought is given, faster implementation and more speed in deploying solutions are necessary.
- Future Investment: Participants saw adapting to sustainable practices as an investment in the future.
- Start-ups’ Need: There was a desire for more support from start-ups that can develop innovative solutions for winemakers.
- Focus on Wine Production: Participants stressed the importance of focusing on wine production and leaving technological solutions to others.
- Knowledge Source: The question of acquiring know-how was raised, emphasizing the need for more best-practice exchange and forums.
- Experimentation and Trying Out: The necessity to experiment with new approaches and technologies was underscored.
- Government Assistance: Politics were urged to assist in challenges such as slow approval processes, for example, for cables in the ground.
- Grid Adjustments: Criticism was voiced about mismatched grid structures, with a demand for improvements.
- Priority for PV Rooftops: Prioritizing photovoltaic rooftops was suggested.
- Profit Assurance for Winemakers: It was emphasized that sustainability measures should also serve to secure profit for winemakers, enabling the implementation of new concepts.
- Action over Words: There were multiple appeals not only to talk but to actively take measures. Exchange and collaboration were highlighted as key factors.
In conclusion, gratitude was expressed for insights from a different perspective that enriched the discussion.
Energy transition in Viticulture – Magility Summary
The digitalization and electrification in viticulture shape a sustainable future. From harvest to marketing, innovative technologies enable efficiency gains, quality improvements, and active support for the energy transition. Winemaking enterprises pursuing intelligent solutions are not only embracing eco-friendly practices but positioning themselves as pioneers in sustainable viticulture. A holistic examination across all levels – from harvest to marketing – creates a path to a future-oriented and environmentally conscious wine cultivation. In the coming days, our blog will delve into the different levels of action in viticulture. Look