Open Source Community Day #OSSDay

Open Source Community Day #OSSDay

Catalyzing Real-time Data for Machine Learning

In a world increasingly driven by machine learning, it is important to facilitate the transfer of ML models and the corresponding data preprocessing from model development to production. The TIBCO CatalystML specification allows you to build JSON code that incorporates the data transformations you need to clean and preprocess event data in real time. When combined with model objects, it allows for the transfer of a full event processing framework with only two files, the CatalystML JSON and your TensorFlow protobuf (for example).

Presenter: Abram Van Der Geest, Product Technologist, TIBCO Software Inc. 

You may also be interested in:

Success with TIBCO:


casino in Las Vegas to go live with cloud-based hotel management


Thousands of data points per car, per second understood with TIBCO Spotfire


Airport in Europe, 4 years in a row (Airports Council International)


In electricity consumption via analytic-driven asset utilization

Watch Webinar