Let’s talk BI Extensions for Machine Learning
How do we lower the barriers to building predictive analytics using Machine Learning? By bringing the power of machine learning to business experts and data analyst, without the complexity of the predictive model development life cycle. We are excited to launch our first MachineWorks extension for the Qlik Sense BI platform. MachineWorks Sense extension allows you to develop machine learning models in just three easy steps.
- Upload curated BI data for model training
- Train your machine learning model by accessing powerful AutoML feature right from the BI Extension without leaving your BI ecosystem
- Generate batch predictions against the trained model for your data set
Features
Easy Upload: Option to use either Qlik data or stand-alone file data source for training the machine learning model. Configurable option within the extension property sheet
Automated Exploratory Data Analysis: Fully automated univariate analysis with descriptive statistics to better understand the distribution, central tendencies and variability in the data, ahead of training model. Intuitive feature and label selection for the machine learning model build.
Automated Model Selection : One button predictive model build that leverages our powerful Jarvis engine that fully automates entire machine learning pipeline and finds the best algorithm that fits your problem. Supports popular Scikit-Learn, XGBoost and others in addition to complete AutoML functionality accessible through extension properties in Qliksense.
Generate Batch Predictions : With the extension, simply upload the dataset to generate batch predictions using the deployed machine learning model. Predictions are available to download and automatically uploaded into Qliksense application for further analysis.
Stay tuned as our upcoming launch includes advance features such as QlikSense server side python plug-in to perform real-time prediction and ability to directly upload predictions to your Qlik application.
You can download the extension via our github below and try it out in your Qlik Ecosystem.
We would love to hear your feedback. Let us know.
— Machine Works Team
