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CES Las Vegas 2025: Insights into the future of technology

CES Las Vegas 2025: Insights into the future of technology

Our valued magility partner Ivo Rauh visited this year’s CES in Las Vegas and shared his impressions with us. During his stay, he explored 60 companies specialising in the fields of digital health, laboratory activities including software, wearables, biotechnology and mobility. In addition to established companies, numerous innovative start-ups from over 40 countries were represented, especially in Eureka Park, the home for start-ups at CES.

In the following, we would like to give you a brief insight into our stay at CES 2025. You can look forward to highlights such as the keynote speech by Nvidia CEO Jensen Huang, exciting innovations such as AI-controlled wearables and new mobility solutions for the cities of the future.

  • NVIDIA CEO Jensen Huang Keynote

Magility @ CES 2025: Insights into the technologies of tomorrow

The Consumer Electronics Show (CES) in Las Vegas remains a key event for technology enthusiasts and industry professionals worldwide. This year’s CES reflected important developments and changes within the technology sector. The number of participating companies was lower than in previous years, reflecting changing industry priorities and economic factors. Despite the decrease in quantity, the quality of the innovations exhibited remained high. The companies presented targeted solutions that meet current technological requirements. Above all, the event was characterised by impressive advances in the areas of mobility, cyber security and artificial intelligence (AI). The focus was increasingly on innovative technologies in emerging fields rather than traditional consumer electronics.

Mobility

One focus of CES 2025 was on the mobility of the future. Companies such as Waymo, Honda and Zeekr presented their latest autonomous vehicles, including the sixth generation Waymo model with improved sensor technology. Honda also presented its new operating system Asimo OS, which enables a customisable, AI-supported driving experience. In addition, Sony Honda Mobility presented the Afeela 1, an electric vehicle with 40 sensors for autonomous driving and an AI assistant for personalised control.

Cybersecurity

With the increasing networking of devices, cyber security is becoming even more important. LG Innotek presented new camera systems for vehicles that improve the safety of drivers and passengers. Bosch presented a cloud-based platform that sends wrong-way driver alerts in real time. Goodyear integrated SightLine, a safety solution in tyres that analyses road conditions and optimises braking behaviour.

Artificial intelligence

AI was present in various areas. Nvidia announced the new GeForce RTX 50 series and presented the DIGITS project, a personal AI supercomputing platform. AI-controlled wearables and household appliances were also in the spotlight. Samsung presented its new ‘Home AI’, which intelligently networks smart home devices and creates customised routines. LG presented ‘FURON’, an AI platform that combines large voice models with real-time room sensors to make the smart home even more intuitive.

Consumer electronics

The focus shifted away from traditional televisions towards immersive experiences. New displays with AI-supported functions were presented that automatically optimise content and provide viewers with targeted information. Samsung presented new televisions with click-to-search functions that provide information about objects on the screen.

Competition in the TIC sector

Companies such as Element, Intertek and SGS emphasised the relevance of testing, inspection and certification (TIC) for innovations. Certification is becoming increasingly important, especially in the field of autonomous driving and networked infrastructure.

New dynamics and focus areas

AI in medical applications

AI-driven solutions in the healthcare sector were a key topic. Applications ranged from diagnostic tools to wearables that record vital data in real time. Nvidia played a key role in medical innovations with its AI infrastructure.

Digital health

Digital healthcare solutions, including telemedicine platforms and AI-supported patient monitoring, are becoming increasingly important. In some countries, digital therapeutics have already been approved as an alternative to pharmaceutical products and are reimbursed.

Biotechnology

The focus was on innovations to support people with disabilities. From AI-controlled hearing aids to sophisticated prostheses, advances in the field of biotechnology showed how technology can break down barriers.

Wearable technology

AI-powered wearables have been further developed and are approaching clinical applications. Particular emphasis was placed on how Nvidia technology is helping to perform complex data analyses in real time.

Magility perspective: Innovation & sustainability as a success factor

CES 2025 made it clear once again that technological innovations will profoundly change our concept of mobility and energy. However, companies are faced with the challenge of not only adapting these developments, but also actively integrating them into sustainable business models. Magility supports companies in this transformation with targeted strategy consulting that combines technological innovations, sustainability and regulatory requirements.

ESG & decarbonization:
The future of mobility will not only be shaped by technological advances, but also by sustainability requirements. The advances in bidirectional charging infrastructures, AI-optimized energy systems and CO₂-reducing materials presented at CES show that ESG criteria are increasingly an integral part of successful business models. Magility helps companies to not only perceive and deal with decarbonization as an obligation, but to use it as an innovative and competitive advantage.

Mobility & energy transformation:
From software-defined vehicles (SDVs) and AI-supported driver assistance systems to new charging and energy storage solutions – CES showed that mobility and energy are increasingly converging. The Honda 0 Series with bidirectional charging and the NVIDIA DRIVE Thor platform for energy efficiency optimization underline the fact that sustainable mobility is no longer just a vision, but a reality. Magility supports companies in transforming such innovations into marketable solutions and building sustainable value chains.

High-tech consulting:
Software is increasingly becoming a key differentiator in the automotive industry. Platforms such as Bosch’s Software-Defined Vehicle (SDV) solution or Valeo’s anSWer Studio platform make it clear that data-driven business models will determine market success. Magility helps companies to strategically shape this transformation – be it through AI roadmaps, technology analyses and the selection of the right technologies for the company.

Start-up consulting:
Innovative start-ups are driving change, as the CES Eureka Park with over 40 countries once again proved. Especially in the field of autonomous mobility and intelligent energy ecosystems, disruptive solutions are emerging that are redefining traditional markets. Magility supports start-ups and companies in identifying such technologies at an early stage, forging strategic partnerships and leveraging their innovative strength for sustainable growth.

CES 2025 has shown:
The future of mobility is digital, sustainable and connected. Magility accompanies companies on this path – with a consulting approach that combines technological excellence with sustainable, economic success.

Which innovations have inspired you? Feel free to share your impressions and questions by email or LinkedIn or contact us directly – we look forward to the exchange!

AI – The Opportunities and Risks

AI – The Opportunities and Risks

 

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.

AI

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

  1. Risk-based classification: AI systems are categorised based on their risk potential, with strict requirements for high-risk systems.
  2. Data protection and human rights: The AI Act protects privacy and personal rights by preventing invasive or discriminatory use of AI technologies.
  3. Transparency requirements: Clear transparency requirements apply to certain AI systems, such as chatbots, to educate users about AI interactions.
  4. Technical requirements: The act requires the development of AI systems that respect human autonomy and avoid harm.
  5. Prohibited practices: Certain applications that could undermine the free will of users are explicitly prohibited

Opportunities

  1. Process optimization: AI enables a significant increase in process efficiency through automation and more precise control of business processes.
  2. 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.
  3. Personalized customer approach: AI enables companies to develop customized marketing strategies and products that are better tailored to customers’ needs and preferences.
  4. 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.
  5. Increasing operational safety: AI can help to increase safety in the workplace by monitoring and predicting potential hazards, especially in the manufacturing industry.

Risks

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
AI applications within the company

AI applications within the company

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.

[infobox headline=”At a glance”]

  • 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.

[/infobox]

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.

Levels of AI application

 

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.

Discovery of the Future: AI – Opportunities and Risks

Discovery of the Future: AI – Opportunities and Risks

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.

Magility Group

 

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.

These technologies changed our lives in the past 10 years.

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.

These technologies will change our lives in the next 10 years.

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?

These technologies will change our lives in the next 20 years.

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.

 

What is the metaverse?

What is the metaverse?

Metaverse is the latest buzzword in the technology industry and hot on everyone’s lips. What’s it all about exactly? Is it a new virtual world, a new reality that is changing the way we live and work, or just a fad that will soon disappear? In this article, we take a closer look at this new technology, its potential applications and its impact on the future.

What is the metaverse?

On October 28, 2021, Facebook renamed itself Meta, reflecting the company’s long-term vision to create a shared virtual space that connects people from around the world. But Facebook, as a social media giant, has been doing that for a long time, right? True, but let’s try to dig a little deeper than that.

Imagine being part of a virtual world that looks and feels like the real world. You could explore cities, visit stores, and interact with others whenever you wish. You would be able to attend concerts, watch movies, or play any games you desire. You could even set up your own virtual house, decorate it, and invite friends over. Or you could attend virtual work meetings and conferences without leaving your house. For simplicity, you can think of a metaverse as the next generation of the internet.

Which technologies should be used?

For  the metaverse to become a reality, it is important to understand that several new technologies must coexist: Among them, for example, virtual reality (VR), augmented reality (AR), head-mounted displays (HMDs), AR Cloud, Internet of Things (IoT), 5G, artificial intelligence (AI) to name but a few. Meta has already invested heavily in these technologies, developing hardware such as its Oculus VR headsets, while AR glasses and wristband technologies are also in the works. According to Statista, the market value of such virtual reality and extended reality sets is expected to grow from $31 billion in 2023 to $52 billion in 2027, a remarkable 13.7% compound annual growth rate.

Umsätze AR als Teil des Metaversums

Source: https://www.statista.com/outlook/amo/ar-vr/worldwide#revenue

However, there are other important innovations that can make metaverse a strategic technology trend:  

1. Web3: Web3 is a new stack of technologies that enables the development of decentralized web applications. It gives users control over their own identity and data, a feature that is critical to the metaverse.

2. Spatial Computing: This is another important innovation that paves the way for the metaverse. This is a technology that seamlessly connects the physical and digital worlds. This technology allows users to interact with virtual environments in a more natural and intuitive way than has ever been possible before.

3. Digital Twin of a Person (DToP): This is another exciting new innovation that reflects a unique individual and represents a near real-time synchronized multi-presence. This technology enables individuals to be present in multiple places simultaneously, in both digital and physical spaces.

4. Digital Twin of a Customer (DToC): Similar to DToP, DToC is a dynamic virtual image of a customer that simulates behavior and learns to emulate and anticipate it. This technology enables the creation of highly personalized experiences in the metaverse, where customers can be individuals, personas, groups of people, or even machines.

Who will own the metaverse?

While Facebook’s recent rebranding as Meta and announcement of significant investment in building the metaverse has certainly brought this concept to the forefront, other tech giants such as Microsoft, Google, Nvidia, Qualcomm, and Amazon have also expressed interest in exploring the potential of the metaverse. In addition, smaller startups and gaming companies are also working to develop metaverse platforms. What we do know is that Meta, as an individual company, will not own the metaverse. What the ownership and management of the metaverse will look like in the future is a completely open book.

What opportunities does the metaverse offer for the automotive industry?

It’s easy to imagine the metaverse taking hold in the gaming and entertainment industries. What’s more exciting is, it also has the potential to go beyond these sectors and revolutionize the automotive industry.

One of the key areas where the metaverse could have a significant impact is in the development and testing of autonomous vehicles. The ability to create a virtual world where autonomous vehicles can be tested in a number of different scenarios would save a lot of time and resources compared to physical testing. The metaverse can also provide a virtual environment to speed up the prototyping process when developing a vehicle and use digital twins to optimize production processes. BMW’s virtual factory, for example, uses NVIDIA’s Omniverse software to create digital twins for each vehicle produced. Other OEMs, such as Hyundai, have also partnered with Unity, a game development platform, to build a meta-factory, which is a digital twin of the company’s physical factory supported by a metaverse platform.

In addition, the metaverse could be used to provide customers with a more immersive experience when purchasing a vehicle. According to a recent McKinsey and Co. survey, customers in the United States visited an average of only two showrooms before purchasing a vehicle, down from five in 2007. This trend could be leveraged to create a virtual showroom where customers can interact with different models and even customize their vehicles to their own specifications. This could revolutionize the car-buying experience, making it more appealing and personalized for consumers. Although a customer will always want to see the actual car in person before buying, this technology has the opportunity to reinvent car dealerships.

Revolutionizing the Automotive Industry and Transforming the Future

In summary, the metaverse will revolutionize the internet as we know it – including the automotive industry. Its impact will be felt in many ways, from development to manufacturing and distribution to customer services. Industry players who embrace the metaverse and use its capabilities to develop innovative products and services will undoubtedly have a competitive advantage over those who lag behind in its adaptation. The metaverse will create new revenue streams, transform the customer experience and enable new business models that were previously unimaginable. As we move toward a future where technology blurs the lines between the physical and digital worlds, the metaverse will play an increasingly central role in shaping the way we interact with each other. The question is not whether the metaverse will change the world, but rather how quickly and effectively industry players will adapt and embrace this new reality. The future is exciting, and the metaverse is undoubtedly one of the key drivers that will shape it.

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