BAYESIAN NETWORK SOFTWARE FOR ARTIFICIAL INTELLIGENCE

Use data and/or experts to make predictions, detect anomalies, automate decisions, perform diagnostics, reasoning and discover insight.

BAYESIAN NETWORK SOFTWARE

Build data driven solutions to complex problems and optionally capture expert opinion using Bayesian networks. Advanced technology often used in military and aerospace, that is transforming a wide range of sectors ranging from finance to health.

Descriptive analytics

Instead of analyzing hundreds of charts, use automated descriptive analytics with Bayes Server™ technology to enable the automatic extraction of significant insight from data.

Diagnostic analytics

From diagnosing faulty equipment to identifying diseases from symptoms, Bayes Server™ technology can be used to build powerful diagnostics and reasoning applications.

Predictive analytics

Bayes Server™ not only supports prediction based on complex and hidden relationships in data, but also allows reasoning from outputs to inputs, diagnostics, anomaly detection & time series.

Prescriptive analytics

Bayes Server™ models can include costs and decisions, that make decision making possible when uncertainty is present (Decision Automation, Decision Graphs).

FEATURES

User interface and APIs

Cross platform .NET & Java APIs
Integrates with Python, R, Matlab, Apache Spark

Fast inference

100x faster than a naive implementation
Over a decade of research

Time series & sequences

Multivariate, mixtures, anomaly detection

Hybrid networks

Discrete, continuous & time series

Learning from data

Parameter learning
Missing data
Structural learning

Online learning

Discrete variables
Missing data & latent variables

Rich queries

e.g. P(X,Y[t+3],Y[t+4] | Z)
Log-likelihood
Most probable explanation

Latent variables

Discrete & Continuous

Decision graphs

LIMIDS
Costs are distributions
Joint cost queries

Noisy nodes

Including learning from data

Parameter analysis

Parameter tuning
Sensitivity to parameters

A FEW OF OUR CUSTOMERS

  • GE logo
  • Lockheed Martin logo
  • Schlumberger logo
  • EY logo
  • Department of energy logo
  • Bosch logo
  • Telefonica logo
  • Transcanada logo
  • BP logo
  • Emerson electric logo
  • Mitsubishi logo
  • Blue origin logo

BAYES SERVER 7.25

RELEASED SEPTEMBER 20, 2017

New in 7 Divider

Decision making under uncertainty (Decision Graphs)

4 new structural learning algorithms

Online learning (adaptation)

Parameter tuning

Sensitivity to parameters

Decision graphs with discrete & continuous nodes

Multivariate profit/cost queries

Decision graph