Simplify, accelerate, improve: artificial intelligence (AI) should be a real game changer in our favour. So far so good. But how do companies strategically adopt AI? Clean data models, standardised processes, data protection-compliant storage location, data sovereignty – and human expertise are one thing. But can the transformation to a responsible AI-supported company succeed in this way?
When implementing AI in companies, the term responsible AI, often associated with digital ethics, appears more frequently, as artificial intelligence has no opinion and no moral compass. AI is technology - a means to an end and it is up to us to use it positively without ignoring the risks and dealing with them responsibly. However, responsible AI is much more than ethics and must be viewed in a broader sense. Dealing with AI is about human-centric AI and corporate responsibility.
AI is not just another technology. Its development is not linear, and its influence is far from over. That is why it is necessary to rethink AI. How we use AI for the benefit of people and the planet. It starts with us developing and training AI responsibly according to ethical standards and using it in a human-centric way as an extension of human skills and decision-making. Human-centric also means that the results initiated by AI are always finally checked and controlled by humans. This is the only way to reduce risks and implement transformation projects into a sustainable AI-supported company.
The database on which they are based is decisive for the quality of AI-supported solutions and results. Data and data-based work are deeply anchored in the DNA of T-Systems and this expertise is also reflected in our pioneering role in data-driven innovations such as Data Spaces, Catena-X and Gaia-X. To exploit the full potential of data and AI, we act with foresight and recommend companies take a holistic approach. To do this, we show them ways of integrating data- and AI-based results into their strategies, processes and decision-making processes and support them in developing a strategic roadmap to use AI responsibly and in a human-centric manner. In this way, we enable companies from a wide range of industries to achieve the greatest possible benefit for their business in the long term.
Only with a clearly defined strategy can the change to a real AI-enabled enterprise succeed. The focus must then be on a transformation that always takes data protection and data security into account and enables companies to make data-driven decisions and drive innovation responsibly. A real AI-supported company also makes it possible to optimise processes, improve customer experience and better achieve your own sustainability goals.
T-Systems offers the right know-how for the transformation to an AI-supported company. The ethical AI guidelines set up by Telekom also apply at T-Systems, which define how we use artificial intelligence and how we develop our AI-based products and services.
Experience the transformative power of AI with the comprehensive range of solutions from T-Systems. Our general AI stack provides consulting services for industries such as automotive, public sector, healthcare, transportation, supply chain management, human resources, manufacturing, sales, marketing, and retail. We offer tailor-made solutions for customer-specific requirements, such as computer vision, NLP, and generative AI, all built on proven AI platforms and scalable cloud infrastructure. Our solutions, like the AI Solution Factory and the Telekom Data Science Platform, enable seamless AI training and development and easy deployment on cloud platforms.
