Trifacta and DataRobot to Modernise Data Wrangling and Automate Machine Learning

Trifacta, a global leader in data wrangling, announced that its Trifacta Wrangler Enterprise and Edge products now integrate with DataRobot’s  automated machine learning platform.

This technology integration enables customers in financial services, life sciences and insurance to streamline the execution of machine learning at scale in order to become AI-driven. The integration between Trifacta and DataRobot supports a variety of deployment options across on-premise and cloud data platforms.

“Consensus works with today’s leading connected device retailers to seamlessly integrate their operations across in-store, web, social and mobile channels. Our ability to manage and analyse diverse data from all of these different sources allows us to quickly identify critical events such as fraudulent activity for our Connected Commerce Revenue Cloud customers,” said Harrison Lynch, senior director of product development, Consensus.

“By incorporating Trifacta and DataRobot into our data wrangling and machine learning operations, we have reduced our data manipulation and model development process from three-to-four weeks to a matter of days.”

Data wrangling processes have traditionally been carried out with hand coding techniques. Manual data preparation requires expertise in a coding language, like Python or Java, and is time-consuming, cumbersome and error-prone. As organisations scale their machine learning efforts and adopt modern solutions such as DataRobot, hand coding becomes an increasing bottleneck, which can stall and jeopardize machine learning initiatives.

The integrated Trifacta and DataRobot solution enables organisations to accelerate data wrangling and empower analysts of any skill level to quickly build and deploy accurate predictive models.

“AI and machine learning present a transformational opportunity for organisations to drive growth and improve efficiency, but data preparation challenges and a shortage of data science skills hamper this,” said Seann Gardiner, EVP of business development, DataRobot. “Our partnership with Trifacta overcomes these barriers and provides a solution that allows organisations to embrace AI quickly and easily. We’re excited to make it easier for organisations to use our combined solution and modernise their analytics approach.”

“Today’s organisations compete on information and an increasing number of businesses are incorporating Trifacta and DataRobot as core components of their modern analytics platform. When used in conjunction with DataRobot, Trifacta provides a powerful way to prepare data for the application of predictive analytics,” said Adam Wilson, CEO, Trifacta.

"AI-driven enterprises will use self-service data preparation and automated machine learning to allow knowledge workers at all skill levels to build and deploy high quality predictive models. Our partnership with DataRobot makes this faster, easier and more accurate."