Big problems need Big Math.
Growth of IP-connected objects (i.e., Internet of Things), proliferation of digital imagery (e.g., body-worn cameras, YouTube, satellite and drone imagery) and advances in scientific instrumentation (e.g., gene sequencing machines and spectrometers) are creating more data every year than data scientists can analyze in their lifetime.
Via Science has a suite of software tools from data ingestion to modeling to visualization, that helps experts analyze high value (“Big”) problems. The core analytics engine, REFS™, combines machine learning and Bayesian networks to identify important relationships between variables quickly and automatically. Once these relationships are identified, REFS™ packages them as a software model that can be:
- Visualized and analyzed by experts to find the root cause of a problem or event
- Queried for ‘what if’ simulations
- Embedded in operations for real-time predictions and alerts
Via Science licenses its software to customers to use on their own data and improve the productivity of their analytic and scientific staff. We provide solutions for IoT, video and scientific applications in the following sectors: