Automate, modernise and scale Predictive Insights through DataRobot’s Auto Machine Learning Platform
Bring Machine learning to as many people as possible.
DataRobot is a machine-learning platform for automating, assuring, and accelerating predictive analytics, helping data scientists and analysts to build and deploy accurate predictive models.learn more
Data Science & Analytics Experts
From data preparation through value tracking, DataRobot equips you with enterprise-grade stability and scalability you can count on.learn more
IT & DevOps Teams
Put machine learning models into production with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop.learn more
Executives & Information Workers
Partner with the leader in automated machine learning to find opportunities to apply AI, and create a culture that embraces data-driven decision making.learn more
Seamless Collaboration on a Single Platform
One platform, for all users, from data to value
Chief Technology Officer
Global AI Ethicist, DataRobot
Characteristics of an AI-Mature CompanyWatch Now
The FIU IQ platform has enabled us to view the data we receive in ways we were unable to before, however it has also highlighted data quality issues in the prescribed transaction reports.
The New Zealand Police Financial Intelligence Unit was lacking analytical tools for all the data it gets, and so New Zealand company, Acumen BI, has been selected to provide a new suite of tools for the Unit to use.
Watch this video to see how AI will influence the delivery of care in the future. Understand the potential of AI as well as its constraints with examples of where AI policy has been put into practice effectively.
From uncovering the potential extent of the Covid-19 outbreak and its impact, through developing a view of hospital capacity and occupancy to developing a regional data store with all testing information in three weeks, Armstrong provides fascinating insight into the process and tools used to manage it.
Organisations are migrating data to the cloud to reap the benefits, but it’s essential to consider how your people and systems will be impacted by a new data pipeline and what tools and training will be involved if you move to a more automated analytics platform.
Without company-wide visibility into data, it’s difficult or even impossible for leaders to make data-driven decisions outside of departmental bubbles. This challenge is especially transparent in verticals.
Donald Farmer discusses the Principle of TreeHive Strategy. Explore how to define and measure innovation in a very practical way, enabling teams to quickly and effectively become more innovative.
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