Qlik partners with DataRobot to combine augmented intelligence and predictive modeling

Qlik has tied up with DataRobot to bring automated machine-learning modelling directly into Qlik, giving business users the power of predictive data decision-making within any analytics workflow. This integration greatly enhances a user’s ability to execute the entire range of data analysis – from historical and current state to future predictions – right within one Qlik instance. The partnership also builds on Qlik’s continued delivery of augmented intelligence and machine-learning enhancements that give business users the ability to gain deeper insights from all their data.

Drew Clarke, SVP, Office of Strategy Management, Qlik, says, “Machine learning is essential in helping users explore the vast arrays of data needed for unique insights that drive outcomes. The integration with DataRobot enhances Qlik’s existing AI and machine learning capabilities by bringing predictive modelling usually limited to data scientists to every business user.”

Enterprises want to democratize data and enable users to make better data-driven decisions while leveraging artificial intelligence and machine learning. Qlik already delivers machine- learning capabilities through its cognitive engine and platform with Insight Advisor, which auto-generates and suggests the best analytics and insights to explore based on the overall data set and a user’s search criteria. Now by leveraging Qlik’s open platform, extension technology and the open-source Qlik DataRobot connector, DataRobot allows Qlik users to develop and democratize machine-learning models.

Seann Gardiner, SVP of Business Development, DataRobot, says, “Leading enterprises are embracing the need for AI and machine learning, and want help applying these innovations at scale across the business. Automating data analysis and predictive machine learning- driven models meet a need data scientists can’t scale to fill, and will enable business users to get more value and understanding from data not otherwise possible.”

The Qlik open-source extension and connector enables –

• Users to prepare and send data with key fields from their current Qlik Sense application directly to DataRobot;

• Combinations of data from any table within the associative data model, served directly into DataRobot for processing; and

• Users to manage their DataRobot project directly within Qlik, sending executed and scored models directly to their Qlik application.

This seamless integration enables predictive modelling and remodelling within one interface, ensuring the user gets the best model possible for their analysis.

Qlik and DataRobot will be showcasing these enhanced capabilities at the upcoming Financial Services Analytics Summit in New York on March 7, where DataRobot is a Platinum Sponsor.

DataRobot is the category creator and leading provider of automated machine learning. Organizations worldwide use DataRobot to empower the teams they already have in place to rapidly build and deploy machine learning models and create advanced AI applications. With a library of hundreds of the most powerful open-source machine learning algorithms, the DataRobot platform encapsulates every best practice and safeguard to accelerate and scale data science capabilities while maximizing transparency, accuracy and collaboration.

By making data scientists more productive and enabling the democratization of data science, DataRobot helps organizations transform into AI-driven enterprises.