“Machine learning is essential in helping users explore the vast arrays of data needed for unique insights that drive outcomes,” said Drew Clarke, SVP, Office of Strategy Management at Qlik. “The integration with DataRobot enhances Qlik’s existing AI and machine learning capabilities by bringing predictive modeling usually limited to data scientists to every business user.”
“We’re investing heavily in our data analytics performance to help democratize decision making across the business,” said Moto Thoda, Vice President of Information Services at Tokyo Century. “Working with innovative solutions like Qlik and DataRobot will help users make better decisions and more accurately predict where our best opportunities are, all through real-world data.”
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.
“Leading enterprises are embracing the need for AI and machine learning, and want help applying these innovations at scale across the business,” said Seann Gardiner, SVP of Business Development at DataRobot. “Automating data analysis and predictive machine learning driven models meets 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;
• Users to manage their DataRobot project directly within Qlik, sending executed and scored models directly to their Qlik application.
This seamless integration enables predictive modeling and remodeling 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.