Master challenging tasks with artificial intelligence (AI) and deep learning

DEEP LEARNING

Deep learning refers to a sub-area of machine learning and artificial intelligence and is used for predictive analytics (regression, classification) as well as for data mining (clustering, dimension reduction). Furthermore, Deep Learning is also used to process unstructured data such as text and image data.

 

DATANOMIQ AI gives you the necessary edge over competitors. We rely on the right combination of both modern and established algorithms from Deep Learning.

TEXT UNDERSTANDING

Classification of texts e.g. for recognising the topic in the text or for sentiment analysis of social media postings

IMAGE RECOGNITION

Recognition of objects on pictures (e.g. sketches or photos) for automated keywording or for finding comparable pictures

AUTOMATION

Our decision modeling can also be automated, for example for predictive and automated quality monitoring with photos of workpieces, maintenance (predictive maintenance) or purchasing planning (predictive order analytics)

CLASSIFICATION OF BUSINESS EVENTS

Our algorithms provide your business events with class labels. It makes early detection possible, e.g. customer orders with an increased return probability or machine runs with an increased risk of failure or rejects

REGRESSION OF BUSINESS VALUE

Our regression models enable the prediction of sales, quantified requirements, reasonable prices or even machine conditions such as energy consumption or temperature

TIME SERIES

Predictive Analytics with Deep Learning is also the right choice for forecasting values ​​over time