Working at Know-Center
News & Stories
Showroom & Demos
Identify data sources
Efficiently manage data in the company and use it in a targeted manner.
Integrate, save and combine
Combining heterogeneous data sources provides a more holistic overview.
Ensure that sensitive data does not leak out.
Discover and explore combined data
Better understanding of data via visualization and assisted exploration.
Data monitoring for analysis
Automated data integration pipelines help automatically cleanse and preprocess data for analysis.
Privacy & Quantum Security
Encrypted Data Analysis
Cryptographic methods co-developed by us enable secure analysis of encrypted data.
Private Set Intersection
Record database entries of different companies, share the database.
New ways for joint evaluations without disclosing your data
Quantum Safe Applications
Secure solutions against the threat of quantum computing.
Novel Cryptographic Solutions
Symmetric cryptology with advanced cryptographic approaches.
Cryptography and privacy-friendly analytics with quantum information.
Machine Learning & Algorithms
Trend and anomaly detection
Existing data is used to train condition monitoring models.
Contract and patent management
Semantic search technologies enable search and fact extraction.
Model operation and maintenance
Operation, continuous performance monitoring and retraining are automated.
Semantic search and aggregation of information
Create custom summaries and analytically search textual content for features
The supply chain in view
Together, we are working on the digitalization of supply chains.
Media Crawling & Analysis
We use artificial intelligence to scan different platforms and extract valuable information.
The interface enables exploration of patterns, trends, and relationships in the data. It can also be customized to meet a variety of user needs, depending on their information needs.
Optimize AI-powered text analysis through semantic model management, feedback input, and annotation.
Detect patterns in time series data and have them inspected and examined with visual interfaces.
Search in time series databases
Finding similar past results in very large databases to compare and learn from.
We enable subject matter experts to pass knowledge to the AI and understand and validate the AI’s decisions.
Intelligent user guidance
A “user-aware” AI steers the user, depending on goals, through various data analysis steps.
Customized Collaborative Visualization
Collaborative analysis of data sets using text annotations, discussion and evaluation of results.
Recommender Systems & Fairness
Personalized recommendations and decision support.
Are there certain customers/user groups that are treated unfairly?
How can the impact of existing biases be minimized?
Do your datasets and algorithms comply with the new EU AI law?
The Fairness Check identifies the status of fairness of an existing application.
Applied market research at the push of a button and in real time.
Digital Transformation Design
Concept Trustworthy AI
We jointly develop trustworthy AI applications that generates benefits and is accepted.
Accompanying the development of new technologies, taking into account the existing context of work or life.
Competence-oriented personnel development
Support of corporate trainings in structuring the training, development of learning target catalogs and visualization of learning progress.
Continuing education in the workplace
Development of Conversational Agents as learning companions for different topics and application fields
Find and test file-driven business models
We are constantly developing and testing innovative, sustainable and circular business models for companies.
Data-driven innovation from the idea to the finished application. We are the premium partner for companies on their way to becoming digital leaders.
Insights & Coaching
Book us for State-of-the-Art & Beyond Speeches and Trainings on topics and trends around trustworthy AI and Data Science.
AI Vision & Strategy
Develop a company vision as a digital leader and the strategy and roadmap to implement it right away.
Environment, energy and sustainability
Efficient and sustainable energy through the networking of producers and consumers
Medicine, pharmacy and health
Maximize insights thanks to AI-driven Big Data analytics while maximizing data security.
Production, automation and logistics
Innovative business models with maximum performance and cost efficiency through data science and trustworthy AI
Data Management for AI
Simplify Data Science and ML by providing high-level abstractions and developing systems and tools to perform these tasks efficiently and at scale.
Data Privacy for AI
Data protection and privacy while using data and models for society, science and business. Lack of trust still prevents many companies from applying AI.
Methods & Algorithms for AI
Develop a wide range of methods and algorithms that take into account the process of data generation. Beyond the prevailing paradigm of isolated consideration of algorithmic insights.
Improve mutual understanding between humans and AI to maximize the potential of humans and machines with visual analytics and interactive data analysis.
Develop fair algorithms and evaluation methods that minimize the risk of discrimination by AI. For self-determined, critical and informed decision-making.
Digital Transformation Design
Developing novel methods and tools for socio-technical design that support us in the digital transformation. From co-creative change processes to education and training.
Data Driven Artificial Intelligence
Develop AI algorithms and machine learning models that can be deployed and shared along value chains.
Data-Driven Immersive Analytics
Enhance immersive analytics and interactions to deliver personalized and user-friendly digital experiences.
Know Center News
Successful Know-Center participation at Open Science Lecture Series
"Open Science Lecture Series – Open Initiatives" was a huge success! 70 people participated in the event on January 13, 2016 to learn and discuss the possibilities of Open Science.
Since this event’s language was German, this article is available