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    • Data Management
      • Identify data sourcesEfficiently manage data in the company and use it in a targeted manner.
      • Integrate, save and combineCombining heterogeneous data sources provides a more holistic overview.
      • Controlled accessEnsure that sensitive data does not leak out.
      • Discover and explore combined dataBetter understanding of data via visualization and assisted exploration.
      • Data monitoring for analysisAutomated data integration pipelines help automatically cleanse and preprocess data for analysis.
    • Privacy & Quantum Security
      • Encrypted Data AnalysisCryptographic methods co-developed by us enable secure analysis of encrypted data.
      • Private Set IntersectionRecord database entries of different companies, share the database.
      • Joint EvaluationsNew ways for joint evaluations without disclosing your data
      • Quantum Safe ApplicationsSecure solutions against the threat of quantum computing.
      • Novel Cryptographic SolutionsSymmetric cryptology with advanced cryptographic approaches.
      • Quantum InformationCryptography and privacy-friendly analytics with quantum information.
    • Machine Learning & Algorithms
      • Trend and anomaly detectionExisting data is used to train condition monitoring models.
      • Contract and patent managementSemantic search technologies enable search and fact extraction.
      • Model operation and maintenanceOperation, continuous performance monitoring and retraining are automated.
      • Semantic search and aggregation of informationCreate custom summaries and analytically search textual content for features
      • The supply chain in viewTogether, we are working on the digitalization of supply chains.
    • User-AI Interaction
      • Media Crawling & AnalysisWe use artificial intelligence to scan different platforms and extract valuable information.
      • Monitoring PlatformThe 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.
      • Modeling ToolsOptimize AI-powered text analysis through semantic model management, feedback input, and annotation.
      • Data InsightsDetect patterns in time series data and have them inspected and examined with visual interfaces.
      • Search in time series databasesFinding similar past results in very large databases to compare and learn from.
      • Transparent AIWe enable subject matter experts to pass knowledge to the AI and understand and validate the AI’s decisions.
      • Intelligent user guidanceA “user-aware” AI steers the user, depending on goals, through various data analysis steps.
      • Customized Collaborative VisualizationCollaborative analysis of data sets using text annotations, discussion and evaluation of results.
    • Recommender Systems & Fairness
      • Recommender SystemePersonalized recommendations and decision support.
      • Bias DetectionAre there certain customers/user groups that are treated unfairly?
      • Bias MitigationHow can the impact of existing biases be minimized?
      • CertificationDo your datasets and algorithms comply with the new EU AI law?
      • Fairness CheckThe Fairness Check identifies the status of fairness of an existing application.
      • Understand userApplied market research at the push of a button and in real time.
    • Digital Transformation Design
      • Concept Trustworthy AIWe jointly develop trustworthy AI applications that generates benefits and is accepted.
      • Socio-technical co-designAccompanying the development of new technologies, taking into account the existing context of work or life.
      • Competence-oriented personnel developmentSupport of corporate trainings in structuring the training, development of learning target catalogs and visualization of learning progress.
      • Continuing education in the workplaceDevelopment of Conversational Agents as learning companions for different topics and application fields
      • Find and test file-driven business modelsWe are constantly developing and testing innovative, sustainable and circular business models for companies.
    • Enterprise Search
  • Consulting
    • ConsultingData-driven innovation from the idea to the finished application. We are the premium partner for companies on their way to becoming digital leaders.
    • Insights & CoachingBook us for State-of-the-Art & Beyond Speeches and Trainings on topics and trends around trustworthy AI and Data Science.
    • AI Vision & StrategyDevelop a company vision as a digital leader and the strategy and roadmap to implement it right away.
  • Ecosystems
    • Environment, energy and sustainabilityEfficient and sustainable energy through the networking of producers and consumers
    • Medicine, pharmacy and healthMaximize insights thanks to AI-driven Big Data analytics while maximizing data security.
    • Production, automation and logisticsInnovative business models with maximum performance and cost efficiency through data science and trustworthy AI
  • Innovation Insights
  • Research
    • Research Areas
      • Data Management for AISimplify 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 AIData 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 AIDevelop 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.
      • Human-AI InteractionImprove mutual understanding between humans and AI to maximize the potential of humans and machines with visual analytics and interactive data analysis.
      • Fair AIDevelop fair algorithms and evaluation methods that minimize the risk of discrimination by AI. For self-determined, critical and informed decision-making.
      • Digital Transformation DesignDeveloping novel methods and tools for socio-technical design that support us in the digital transformation. From co-creative change processes to education and training.
    • COMET Module
      • Data Driven Artificial IntelligenceDevelop AI algorithms and machine learning models that can be deployed and shared along value chains.
      • Data-Driven Immersive AnalyticsEnhance immersive analytics and interactions to deliver personalized and user-friendly digital experiences.
    • Publications
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Insights & Coaching

Trainings

Trainings

Review Summer Academy 2020

A look ahead – Research and technology trends in Big Data and AI


We offer data science enthusiasts as well as companies the following tailor-made training and education. All available dates can be found directly in the respective offer or on request.

AI Deep Dive

In our two-day workshop, you will learn the basics of ‘Deep Learning’ and how to use it to solve numerous problems such as ‘Churn Prediction’ and ‘Image Classification’.

Available on request

AI Essentials

Learn the basics of Artificial Intelligence (AI) and how to use it in your organization. Away from the hype, this course provides you with a structured introduction to AI and surrounding concepts on a theoretical and practical level.

Available on request

Big Data Essentials

Participation in Big Data Essentials provides you with an ideal framework for an initial structured examination of the topics Big Data, Machine Learning, Advanced Analytics and the corresponding tools and systems. Building on the theoretical foundations, the course will subsequently cover technical, economic and legal conditions and issues.

Available on request

Data Service Cards Workshop

Based on the Business Model Canvas we work in small groups with the Data Service Cards and the Data Product Canvas of the Know Center on your new Data Services.

Available on request

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