Tim S. Tabrizi
Keynote Speaker:
Artificial Intelligence
and AI Agents
From the boardroom to the stage: AI strategies that are transforming companies.
Group CEO of infoteam Software AG – 28 years of professional experience, including over 20 years in management positions in medical technology, telecommunications and software
350+ keynotes in 17 countries
Best Speaker Awards: BME Symposium 2017 · OptiBuy 2021
Booked by DAX companies and international SMEs
Why decision-makers now need to rely on AI agents and automation
Machine learning drives AI forward by enabling systems to learn from data.
Ethics and transparency in the development of AI are important if trust is to be built.
The integration of AI into systems requires a deep understanding of the technology.
AI creates personalised experiences by analysing large volumes of data.
Teams that combine technology and expertise are the key for AI projects.
The regulation of AI ensures that innovations meet the standards expected of them.
From machine learning to autonomous AI agents: The next stage of evolution
The history of artificial intelligence (AI) is a fascinating tale of our endeavour to create machines that can think, learn and act almost like us. Since its beginnings in the 1950s, when the pioneers of AI laid the foundations, AI has evolved dramatically. From simple chess computers that could win against humans to modern algorithms that understand complex languages, interpret images and enable autonomous driving, AI has constantly expanded our ideas of what machines can do. In particular, advances in neural networks and deep learning techniques have accelerated developments that were once considered pure science fiction and now permeate our everyday lives – from the way we communicate to business decisions aimed at becoming more efficient and customer-centric.
As someone deeply immersed in the field of artificial intelligence, I address both its technological and ethical dimensions. My experience in developing AI systems and contributing to research projects that push the boundaries of what is possible has given me profound insights into the potential and challenges of these technologies. In my presentations, I strive to raise awareness of the technical, ethical and socio-economic aspects of AI. I emphasise the importance of considering the responsible use of AI and how it can be applied for the benefit of humanity. By sharing my knowledge, I invite dialogue about the future of AI and the role we want to play in that future. With a combination of technical expertise, ethical reflection and a forward-looking perspective, I hope to inform and inspire my audience about the far-reaching possibilities of AI, so that together we can work towards a better world.
In particular, advances in neural networks and deep learning techniques have accelerated developments that were once considered pure science fiction and now permeate our everyday lives.
Understanding AI architecture: What decision-makers need to know
Artificial intelligence (AI) is a fascinating and complex field that encompasses key technologies such as machine learning, neural networks and deep learning. These technologies enable machines to recognise patterns, learn from data and make decisions with minimal human intervention. Machine learning uses algorithms to learn from data and make predictions, while neural networks, which are modelled on the human brain, enable computers to recognise complex patterns in large amounts of data. Deep learning, a specialised form of machine learning, uses multi-layered neural networks to perform a variety of tasks with remarkable accuracy, from image and speech recognition to natural language processing.
As someone who works intensively on the topic of AI, I make a clear distinction in my presentations between the terms AI, machine learning and robotic process automation (RPA). AI is the overarching concept for systems that perform tasks that typically require human intelligence. Machine learning is a method of implementing AI in which algorithms use data to learn and make better decisions. In contrast, RPA automates repetitive tasks with software robots or “bots” and is not necessarily based on AI or machine learning.
By explaining these basic concepts and technologies, I aim to create a deeper understanding of how AI works and how it differs from related technologies. This is important to understand the potential and limitations of AI in different application areas and to have realistic expectations of the adoption and impact of AI systems. I use my expertise to navigate my audiences through the complex world of AI, lay the foundations for a broader understanding of the opportunities these technologies offer and discuss the challenges associated with their development and application.
Large Language Models and generative AI: From ChatGPT to enterprise-owned AI agents.
» AI agents as a catalyst for transformation
Artificial intelligence (AI) is at the centre of a technological revolution that has the potential to bring about far-reaching positive changes in our society and economy. Thanks to its ability to solve complex problems, make precise predictions and automate work processes, AI can decisively contribute, helping to tackle some of the most pressing challenges, such as climate change, health crises and educational inequality. In my keynotes, I emphasise the importance of using this technology responsibly to drive innovation and influence the world positively. I call for ethical considerations to be placed at the centre of AI development and for interdisciplinary teams to develop solutions that meet human needs and contribute to a more inclusive, sustainable and fair society.
AI in use: From predictive analytics to autonomous decision-making
AI applications are already transforming entire industries – from medicine to mobility – constantly opening up new perspectives while simultaneously changing existing processes. In healthcare, for example, AI enables more precise diagnoses and personalised treatment approaches by analysing patient data in real time, thereby improving efficiency and patient outcomes. In the financial sector, AI is revolutionising how transactions are processed, risks are assessed and customers are served by leveraging its ability to analyse large datasets and predict market trends.
AI permeates every stage of the value chain: from intelligent building control systems and autonomous logistics to AI agents that optimise complex business processes on their own. Autonomous vehicles use advanced sensors to navigate complex traffic situations.
In my keynotes, I combine 28 years of professional experience, including over 20 years in leadership positions. with hands-on AI practice: from the strategic implementation of autonomous AI agents to concrete ROI calculations for your AI investments. For decision-makers, this means that we are at the beginning of a revolutionary era in which AI will profoundly change the way we work and live, how we interact with the world and our idea of what is possible. A key focus of my talks is on the ethical aspects and the need to develop and use AI responsibly, so that technological progress benefits everyone.
Future developments point to an even deeper integration of AI agents into business-critical processes, from augmented human capabilities and personalised medicine to autonomous systems that can make decisions in uncertain environments. I stress that the enormous potential of AI must be carefully weighed against the challenges of data protection, security and ethics in order to ensure that AI develops sustainably and in the interest of humanity.
The applications of artificial intelligence (AI) extend to numerous areas, from medicine to mobility, and are constantly opening up new perspectives while at the same time changing existing processes.
AI Governance: Ethics, Regulation and Trust as a Leadership Task
The rapid development of artificial intelligence (AI) raises profound ethical questions and social challenges that require careful consideration and solutions. Data protection is at the centre of this discussion, as the training of AI systems is based on large amounts of data, which increases the risk of data breaches and the misuse of personal data. In addition, the embedding of unintentional biases of developers in AI systems harbours the risk of discriminatory decisions. Another important aspect is the impact of AI on the labour market, in particular the fear that jobs will be lost through automation, while at the same time new occupational fields will be created.
As an AI specialist, I address these ethical and societal challenges by raising awareness and proposing concrete strategies to overcome them. I emphasise the importance of developing AI systems in strict compliance with ethical principles that prioritise fairness, transparency and accountability. This includes the introduction of guidelines and review mechanisms to ensure that AI systems are unbiased and protect user privacy and data.
In order to meet the challenges of change in the workplace, I advocate the promotion of retraining and further education initiatives that prepare employees for the changing demands of the labour market. I emphasise the importance of lifelong learning and the need to invest in future-oriented skills such as critical thinking, creativity and social skills.
I emphasise that it is crucial to involve a broad range of stakeholders, including the public, policy makers and ethics experts, in the discourse on the design and application of AI. This is to ensure that the development and implementation of AI technologies is inclusive, equitable and socially acceptable. Through these comprehensive approaches, the transformative impact of AI on society can be harnessed positively to drive innovation and improve quality of life while minimising potential risks and negative impacts.
The rapid development of artificial intelligence (AI) raises profound ethical questions and social challenges that require careful consideration and solutions.
» Future prospects for AI
The future of artificial intelligence (AI) promises an era of groundbreaking innovation and profound change in practically every area of daily life and the global economy. Experts predict the development of advanced AI systems that are even more powerful and efficient and able to solve more complex problems than we can imagine today. From further improvements that make autonomous vehicles safer and more accessible, to the transformation of personalised medicine through more precise diagnoses and treatments, to smart cities that use energy more efficiently and optimise traffic – the potential of AI is immense. At the same time, these developments are accompanied by a growing focus on ethical questions and on robust frameworks that ensure the benefits of AI are distributed fairly and negative effects are minimised. Despite undeniable technological progress, the human factor – our creativity, ethical considerations and decisions – will determine how AI shapes our future. That is why I advocate close collaboration between technologists, policymakers, businesses and civil society, so that AI is used as a force for good and contributes to the well-being of all people.
AI transformation in industry: Value creation through intelligent automation
The integration of artificial intelligence (AI) into industry and entrepreneurship marks a turning point for progress, efficiency and the emergence of new business models. Companies and start-ups are using AI to make data-driven decisions, personalise customer experiences and optimise their operations. For example, financial institutions are using AI algorithms for more accurate risk assessment and fraud detection, while AI in healthcare supports and improves the analysis of medical images, which in turn drives the detection and treatment of diseases.
Start-ups are using AI to find innovative solutions to cross-industry problems, from smart energy management systems that contribute to more sustainable consumption to chatbots that redefine customer service. These developments show how AI is pushing the boundaries of what is possible and enabling companies to respond more agilely to market developments and offer customised services.
As an AI specialist, I will emphasise the key role of AI in digital transformation. I will discuss how AI technologies not only improve existing business processes, but also enable completely new business approaches based on data-driven insights and automated processes. By using AI, companies can rethink their value chains, optimise customer experiences and secure competitive advantages.
However, I would also point out that the introduction of AI into business processes must be done carefully. I emphasise the importance of a solid data strategy, understanding AI models and adhering to ethical principles. I also address the challenges that companies face when implementing AI, such as the lack of qualified personnel, data protection concerns and the task of gaining the trust of users.
By highlighting both successful applications and the associated challenges and opportunities, I lead my audience to recognise and exploit the transformative potential of AI. The aim is to drive digital transformation and develop forward-looking solutions.
The integration of artificial intelligence (AI) marks a turning point for innovation.
Answers to your most frequently asked questions:
What does a keynote with you cost?
A keynote with me costs between €5,000 and €9,000, depending on duration, preparation and travel. After a short call, you receive an individual quote – transparent and without hidden costs.
How long is a keynote?
Typically 45–60 minutes. On request, also as a 90-minute session with interactive elements or as a half-day workshop for greater depth.
Do you also speak in English?
Yes, I give about a third of my keynotes in English – among others for Siemens in Japan, for international teams at Kuraray and at events in Dubai and Singapore.
How do you prepare for my event?
I talk to your team in advance, analyse your industry and develop content that is a perfect fit for your audience. Every keynote is unique.
Can we talk before I book?
Of course. A 15-minute introductory call is free of charge and without obligation. It lets us clarify whether my topic fits your event.
Tim S. TabriziKeynote speaker, Group CEO & executive coach.🔗 Connect on LinkedIn