Predictive Analytics

With more access to data sources everywhere, data scientists can mine data and predict consumer behavior, fraud, machine failure and more, to solve the challenges of today and tomorrow.


Mark Hall, Predictive Analytics Expert

Mark Hall, Predictive Analytics Expert

As the field of data science continues to grow beyond the world of researchers and statisticians, it is important for our team to arm developers with a wide range of programming languages.

Mark Hall is responsible for developing machine-intelligence solutions at Hitachi Vantara Labs. An original core developer of Weka machine-learning software, he has 15 years of experience in academic research in computer science, and publishes extensively in machine-learning conferences and journals.


Monitor, evaluate, compare and rebuild predictive models to enable greater algorithmic transparency and improved business outcomes.

Maximize model accuracy while in production, choose from a broad selection of evaluation statistics to identify degraded models, and use rich visualizations and reports to analyze model performance and uncover inadequacies.


Weka is a collection of machine-learning algorithms that can either be applied directly to a data set or called from your own Java code. Weka contains tools for data preprocessing, classification, regression, clustering, association rules and visualization. It is also well-suited for developing new machine-learning schemes and building predictive models. Pentaho supports Weka with a data-scoring tool and forecasting for PDI to create predictions on incoming data.


Weka The University of Waikato

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