Visually and interactively explore, combine, and shape diverse datasets into data ready for machine learning and AI applications at enterprise scale.
The Fastest Path to Enterprise Data Preparation
Data is the fuel that drives AI innovation. Unleashing its benefits across the enterprise depends on immediate self-service access to any data, as well as empowering not just highly skilled data scientists and data engineers but every analyst and citizen data scientist.
Self-Service Paxata Data Preparation for Everyone
As an integral part of the DataRobot platform, Paxata Data Preparation enables both novice and expert users to quickly and interactively explore, profile, clean, enrich and shape diverse data into AI assets ready for machine learning model development and deployment.
Acceleration Through AI Assistance
With Paxata Data Preparation, the data preparation process is dramatically accelerated through the highly intuitive and visual point-and-click interface. Furthermore, embedded algorithms provide users with AI assistance throughout data preparation activities to automatically profile, cluster, and clean data, greatly accelerating the time it takes to prepare and shape the data.
Enterprise-Grade Data Preparation
DataRobot provides the industry’s first and most complete, end-to-end enterprise AI platform to accelerate value with AI from raw data to ROI. Paxata Data Preparation is tightly integrated into the DataRobot AI platform, providing self-service data preparation not only for skilled data scientists and data engineers but also for business analysts and citizen data scientists alike.
In building this platform we had one goal: empower researchers and oncologists to spend a fraction of their time restructuring the data, and the majority of their time on mapping patients to our research database to come up with a treatment plan.
Joining the dots across different data sources and extracting value out of data is an important element of the Bank’s strategy as a diverse global bank. Paxata is helping us transform raw data into an insightful information fabric and this can help increase our speed of decision-making. This investment is an important step in building our capabilities as a data-driven company where employees in all functions are able to harness data at their fingertips.