Qlik, DataRobot Join Hands to Combine Augmented Intelligence and Predictive Modelling

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.

Qlik has entered into a partnership 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.

According to Qlik, 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.

“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,” said Drew Clarke, SVP, Office of Strategy Management at Qlik.

Qlik-DataRobot partnership to enable business users make better decisions

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 that data scientists can’t scale to fill, and will enable business users to get more value and understanding from data not otherwise possible.”

Moto Thoda, Vice President of Information Services at Tokyo Century, believes that working with innovative solutions like Qlik and DataRobot will help users make better decisions and more accurately predict where their best opportunities are, all through real-world data.

 

Longjam Dineshwori

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