BI solutions powered by machine learning algorithms, unlike traditional business intelligence, provide businesses with automated modeling of future trends based on large volumes of dispersed data. Companies get a whole new level of understanding of their operational efficiency bottlenecks, potential risks, and optimization opportunities. Softeq has data science specialists capable of employing supervised, semi-supervised and unsupervised learning algorithms (methods of clustering, regression, classification, dimensionality reduction, etc) to turn such unstructured multi-dimensional data into insights. The team helps businesses build models on data sourced from software systems and a vast network of connected intelligent machines, devices, and sensors.
Using machine learning algorithms, Softeq will develop BI systems with robust back ends tuned to autonomously detect anomalies, discover patterns in transactional and historical data, process remote diagnostic data and more. Built-in push notifications, automated real-time data visualization, interactive dashboards and predictive modeling will facilitate BI tasks that are either time-consuming or can go unnoticed if relied solely on human capabilities. As part of business intelligence solutions, Softeq will create decision support systems to enable intelligent machine processing for these tasks:
- Sentiment analysis
- Fraud prevention
- Emergency & hazard prevention
- Preventive maintenance
- Risk analysis
- Service personalization & customer profiling