Smart Engineering with Artificial Intelligence

Use data more efficiently

Do you know all important data about your company and your industry?
Do you know all relevant correlations and interpretations of your data?
Are you aware of the optimization potential in your company?

We can help you to analyze large amounts of data and provide customized solutions for your company.

Reach your goal faster with the appropriate methods

There are numerous methods and algorithms for data analysis and optimization.
But depending on the area of application some techniques are superior to others.

optimization algorithms ontology text mining Weka named entity recognition topic model REST clustering relation extraction information retrieval UML triple store Bayesian network RDF recommender systems classification Jena BI graphical models k-means SQL semantic web data integration Sesame expert systems OWL artificial intelligence Hadoop data analytics SPARQL fuzzy logic data visualization MLP support vector machine self-organizing map data mining matrix decomposition NER branch and bound part of speech tagger multi-agent system natural language processing CRS document classification matlab NoSQL artificial neural network ACO machine learning forward selection SOM market basket analysis SPSS AI simulated annealing error back-propagation SVM Monte Carlo sampling scale free networks POS function approximation CCS big data SAS conjugate gradient descent Hopfield network naïve Bayes R NLP maximum entropy data normalization ICA graph structure learning singular value decomposition EM particle swarm optimization Gaussian mixture model ANOVA decision tree sequence tagging backward elimination Hebbian learning CRF ant colony optimization MapReduce named-entity extraction expectation maximization LDA bagging independent component analysis SVD data preprocessing feature extraction PSO Hidden Markov Model reinforcement learning conditional random fields genetic algorithms collaborative filtering Latent Dirichlet Allocation inference principal component analysis Kalman filter logistic regression Tf-Idf cosine similarity HMM RBF network linear regression multi-layer perceptron PCA boosting feature selection random forest

Thanks to our longstanding experience and expertise we can select the best matching method and tailor it for your needs.