Was M2M bedeutet, wie es funktioniert und wo es in der Praxis eingesetzt wird.
Language models, so-called large language models (LLMs), are ubiquitous and currently the epitome of data and artificial intelligence (AI). LLMs play a disruptive role in the way they use and analyze data. Despite their potential, current use cases in companies often fall short of their potential.
LLMs are only one important building block within an AI-supported IT landscape. Agentic AI describes another innovative dimension of AI: this technology enables autonomous AI assistants to make decisions independently while taking clearly defined goals into account. This makes it possible to map and automate even complex business processes using AI.
The decisive factor in all AI use cases is the quality of the data. It largely determines the ability of AI to create added business value. We support you with your business requirements with a holistic approach that considers both the available data and possible AI solutions.
We pick you up exactly where you are on your AI journey: Whether you are just taking your first steps with AI tools or already need specific solutions for your established business processes - we will support you.
Together, we identify relevant data sources and business goals that serve as the foundation for a customized data AI strategy. By using generative AI, multi-agent systems, large language models or classic machine learning, we design AI assistants and data pipelines that deliver real added value for your business process.
We also consider the efficient management of your data using data catalogues as a central view of all data sources through a decentralized data mesh architecture. We integrate the trained AI models seamlessly into your business processes. Machine Learning Operations (MLOps) and AI Privacy and Security ensures that everything remains stable during operation and that data protection and information security are guaranteed. We use continuous monitoring and training to check performance and up-to-dateness and ensure the responsible use of AI in accordance with established standards.
We help you to analyse and effectively visualize data, whether in the context of reporting or exploratory analyses. To this end, we establish robust data platforms (data catalogs) to extract and transform your data.
We use classic machine learning to identify recurring patterns in your data. We use these to create precise forecasts and make data-based decisions.
From domain architecture to governance: We anchor data mesh in a technically sound manner in cloud, EAM & maturity models - scalable, hands-on, tailored to your IT.
From the identification of suitable application areas and use cases to technology decisions and the development of an AI strategy and AI roadmap derivation: our experienced experts will accompany you along the way.
Where does your company stand when it comes to AI? Our readiness check will show you - structured, interdisciplinary and with a clear roadmap for real added value. An AI strategy in two weeks.
From the idea to the scalable system: we strategically integrate AI, identify relevant use cases and develop individual solutions with real business value.
What is possible with GenAI & Co. in your company? Our workshop shows potentials, use cases and strategies - individually, practically and tailored to your business goals.
Each agent fits like a tailor-made suit: our seamlessly integrated AI agents improve your customer service and support, among other things, and assist with decisions and personalization.
An AI platform within the company ensures greater and better automation, centralized knowledge availability, and scalable solutions that can be seamlessly integrated into processes.
From analysis to implementation: your business process automation will be successful, effective, and economical—without any hype, but with clear added value.
Benefit from customized AI solutions that transform your business processes sustainably. Find out now about our services in the field of Data AI.
Success is measurable - for example in realized projects. Discover how we put Data & AI into practice for our customers: with solutions that work, inspire and create real added value.
Aggregation of internal customer data & external data in a single web application
Data bundling & analysis with Amazon Bedrock
Intuitive user interface for sales, 88% reduced preparation time before customer visits
Control center for the technical monitoring of driverless trucks
UX design, product strategy, data structure, vehicle data visualization
Monitoring, remote support, mission management, reports for commercial autonomous transport solutions
Data foundation for nationwide charging infrastructure in Germany
Cloud data warehouse for integration & analysis of many diverse data sources (AWS)
Solid architecture, single point of truth ensures data-based evaluation of charging station demand
Unified IoT platform for 3 business units, harmonization of existing IoT solutions
IoT device connectivity, visualization software for data analysis, cloud infrastructure, operations
Quick testing in the cloud infrastructure, fast integration of use cases such as predictive maintenance, process optimizations, etc.
Holistic, flexible IT system to support expert assessors
Digitalization of the inspection & damage process from order creation to invoicing
More efficient creation & billing of damage assessments & vehicle valuations, at least 2 days time savings
AI-supported service for orthopedic & sports medicine practices
Cloud-based web application for doctors for the automated, evidence-based creation of individually tailored patient training plans
New revenue source without fixed costs, higher patient retention, AI-supported & guideline-based
Customized assistance robots for people with physical disabilities in production
Integration of AI for automated adaptation of robots to people's capabilities
Effective empowerment of people with physical disabilities
Machine learning for time series forecasting
AutoML for automated adaptation of models to different data
Unified, scalable solution, optimized inventory costs, efficiency gains
Secure operation of AI in the European MS Azure cloud environment
Frontend & backend via MS Azure App, "Chat with your PDF" for TÜV employees
Quick implementation of new technologies (AI), strengthening knowledge management
Replacement of analog, error-prone activities with a digital app solution
Digital design, cloud-native technologies, UX concept, UI design, front- & backend
More transparency in production processes, higher production OEE, across plants
Immersive 3D visualization of complex energy data on the Apple Vision Pro
Augmented reality, spatial computing, 3D map with detailed data & KPIs
Foundation for intuitive understanding of energy scenarios & well-informed decisions
Centralized planning of component manufacturing for cost- & resource-optimized production capacity worldwide
Conversion from local processing with fat clients to a client-server application, migration to the cloud
Data-based planning & calculation of different manufacturing scenarios & site-specific production costs
Centralized web-based IT system to replace individual isolated solutions
Event sourcing for planning & analytics, domain-driven design, cloud migration
Easy updates, expansion, maintenance, optimized security
Web app to replace legacy systems for easier interaction between users & system
Conversion from local processing with fat clients to a client-server application & migration to the cloud
Data-based planning & calculation of different manufacturing scenarios & site-specific production costs
Data-based information for planning & implementing the climate transition for the public sector & energy providers
Scalable foundation data platform on MS Azure for migrating & automating differently formatted geo-data into a structured data schema
Quality-checked data, provision in the form of the target data model, robust, scalable database & infrastructure
Reduction of costs caused by over-dimensioning & manual processes, establishment of transparency
Targeted process modernization, automation & rightsizing
Annual cloud operating cost reduction: 400,000 EUR, scalability, reliability
Employees can use TÜV NORD GROUP GPT in a variety of ways as a personal assistant, for example to work their way through extensive documents, support their own research or generate new input for product development, for example.
Was M2M bedeutet, wie es funktioniert und wo es in der Praxis eingesetzt wird.
Seize opportunities, manage risks—and make informed decisions.
AI governance allows you to establish a framework for the use of AI in your organization.
Successful AI implementation requires expertise and a clear roadmap.
Streamline processes, structure interfaces, and implement automation where it makes sense.
Stabilise processes, reduce complexity, make results measurable.
Simplify processes, identify potential, and use automation in a targeted manner.
Stabilize processes, reduce complexity, create measurable benefits.
How to bring your AI system into line with applicable laws and ethical standards.
How AI is making the automotive industry more efficient, smarter, and more competitive.
How AI works explained in simple terms—from data to models to benefits.
Can digital sovereignty make companies more secure, independent, and crisis-proof?
How data can help you make clear decisions.
Your foundation for data-driven decisions
AI is more than just hype: it is already being used today - in everyday life, in business, for society.
You automate, analyze, decide - and make your business fit for the future.
Discover how cloud-native applications can support you in your digital transformation.
Understanding and using LLMs: What they can do, where they can help – and how to get started.
Use generative intelligence strategically, securely and with clear added value.
Descriptive analytics explained – definition, process, benefits and specific examples.
Predictive maintenance explained: making maintenance more predictable, efficient and smarter.
Using AI correctly: data, opportunities, challenges and concrete solutions.
Potential and areas of application for AI, tips and examples for sustainability.
Understanding artificial intelligence simply: applications, impact and future opportunities.
Whisper on the Pi? It works – but not everything. Practical insights from Marno Janetzky.
How AI is driving innovation, efficiency and new technologies in industry.
Better estimate customer demand: definition, methods and added value of demand forecasting.
How predictive quality helps increase customer satisfaction and reduce production costs.
AI in practice: use cases from sales to production, with opportunities and obstacles.
As one of the most innovative IT service providers with a great passion for AI, we focus entirely on the project business and individual software development - without our own products. To stay at the forefront, we continuously invest in our team of digital technology engineers and develop digital solutions that are well thought-out, efficient and reduced to the essentials.
Our principle: simplicity instead of complexity. We only develop what is really needed - tailor-made, useful and reliable. Our results speak for themselves. With over 800 large-scale systems and more than 10,000 person-years of experience in high-end software engineering, we are one of the few who can reliably implement even the largest and most complex IT landscapes. Thanks to close partnerships with leading hyperscalers, our customers operate their solutions in today's most modern and powerful environments.
Less technology. Better Business.