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Data & AI: automate and reinvent business processes

AI as a catalyst for data-driven business processes

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.

From initial data-driven steps to successful AI deployment

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.

Data Analytics Consulting

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.

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Data Science Consulting

We use classic machine learning to identify recurring patterns in your data. We use these to create precise forecasts and make data-based decisions.

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Data Mesh

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.

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AI consulting

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.

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AI Readiness Check

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.

About AI Readiness Check

AI for companies

From the idea to the scalable system: we strategically integrate AI, identify relevant use cases and develop individual solutions with real business value.

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AI-Workshop

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.

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Our references & projects 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.

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Research: AI-supported robotics for employees with physical limitations

With demographic change, employees with physical limitations need better support to remain productive. Assistance robots can help, but are not flexible enough. The KiRo4LeMi research project aims to use AI to dynamically adapt robots to individual changes in performance. Using digital models and "living personas", the AI optimizes robot operation in real time.
See robotics reference

Research: AI-supported robotics for employees with physical limitations

3 years

research project, funded by the Bavarian Ministry of Economic Affairs

Design of the robot

more individuality thanks to AI

Digital twin

helps to be able to react quickly during operation

See robotics reference
Siemens: AI demand prediction platform for industrial production planning

Siemens is looking to the future with the AI Demand Prediction Platform. Thanks to machine learning and AutoML, precise demand forecasts can be created for over 100 products and production can be better planned. Launched as a proof of concept, the platform quickly developed into a system that can be used productively. The self-service web application will soon be used in other plants.
See Siemens reference

Siemens: AI demand prediction platform for industrial production planning

Project duration

Since February 2022

Proof of concept

in a few weeks

Time series prediction

for 100 different products

See Siemens reference
TÜV NORD GPT: Development of AI assistance

Find relevant information faster by chatting with documents? It's possible! The TÜV NORD GROUP uses GPT technology in the secure Microsoft Azure Cloud. With the aim of optimizing knowledge management and efficiency. The system enables new usage options within the testing group and is operated securely. Find out more about the innovative AI assistance system now.
See TÜV NORD reference

TÜV NORD GPT: Development of AI assistance

Project duration

since September 2023

33.000

GPT applications in the first month

ChatGPT Model 4

in the European Microsoft Azure Cloud

See TÜV NORD reference
digikoo: A data platform for the Azure Cloud

Structured geodata, automated quality assurance, seamless provision - we developed a powerful Snowflake data platform on Azure for Digikoo. It makes analysis easier for data scientists and lays the foundation for precise forecasts and new use cases.
See digikoo reference

digikoo: A data platform for the Azure Cloud

5 months

Project duration

Climate change

Plan digitally and implement efficiently

Foundation data platform

Microsoft Azure Cloud

See digikoo reference
Bayernwerk: Knowledge management via teams

Experience must not be lost - Bayernwerk digitizes the knowledge of long-standing employees. MaibornWolff designed an intuitive MS Teams app with a clear UX/UI. Close collaboration, lived Scrum values and user-centered development make the app a success. Promoting exchange, optimizing processes - this is how knowledge transfer works today.
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Bayernwerk: Knowledge management via teams

6 months

Project duration

Target:

Identify implicit knowledge

Requirements:

a user-centered, intuitive and clear UX/UI design

Read more

Current guides on the topic of data & AI

Cloud Data Warehouse
Your foundation for data-driven decisions
Using artificial intelligence
AI is more than just hype: it is already being used today - in everyday life, in business, for society.
AI agents
You automate, analyze, decide - and make your business fit for the future.
Cloud Native: Your path to modern software development
Discover how cloud-native applications can support you in your digital transformation.
Large Language Models
Understanding and using LLMs: What they can do, where they can help – and how to get started.
ChatGPT in business
Use generative intelligence strategically, securely and with clear added value.
Descriptive Analytics
Descriptive analytics explained – definition, process, benefits and specific examples.
Predictive Maintenance
Predictive maintenance explained: making maintenance more predictable, efficient and smarter.
AI in companies
Using AI correctly: data, opportunities, challenges and concrete solutions.
AI in production
Potential and areas of application for AI, tips and examples for sustainability.
Artificial intelligence
Understanding artificial intelligence simply: applications, impact and future opportunities.
OpenAI Whisper on the Raspberry Pi 4
Whisper on the Pi? It works – but not everything. Practical insights from Marno Janetzky.
AI in industry
How AI is driving innovation, efficiency and new technologies in industry.
Demand Forecasting
Better estimate customer demand: definition, methods and added value of demand forecasting.
Predictive Quality
How predictive quality helps increase customer satisfaction and reduce production costs.
AI-Use-Cases
AI in practice: use cases from sales to production, with opportunities and obstacles.

Why MaibornWolff?

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.

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