A huge challenge
Predictive analytics projects are pervasive in every major organization. The inability to execute on these projects is causing pain, felt by everyone from analysts all the way up to C-level executives. Backlogs of analytics projects that have obvious and substantial top or bottom line impact are growing, and ROI on data lakes and other big data investments remain unrealized. Largely responsible for these problems is the global shortage of data scientists and the arbitrary use of the same old, labor-intensive, costly, tedious and slow model building and deployment methodologies in the organization.
Empower your organization
DataRobot is a machine learning automation platform that enables companies to extract value from their data orders of magnitude faster than anything else on the market. It does this by capturing and automating the best practices of the world’s top data scientists in software, making it easy for business analysts, developers, and data professionals to rapidly build and implement highly accurate predictive models. DataRobot integrates a vast array of the latest open source machine learning algorithms from R, Python, Spark, H20, and more (rather than a small selection of proprietary algorithms). DataRobot makes it easy for even inexperienced users to always select the best algorithms and pre-processing for the problems they are trying to solve.
Any model built in DataRobot is production ready. There is no need to write custom prediction code or manage any infrastructure. Use DataRobot’s dedicated Prediction API to deploy your models to an arbitrary number of servers behind a load balancer, easily scaling to meet your needs. Need to update your model every day? Automate it with DataRobot’s APIs and SDK. With DataRobot’s RESTful API, you can operationalize predictive models from R, Python, Spark, H20 and others with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop.
While Hadoop has enabled the collection of vast amounts of rich data for analytics, data owners are finding themselves stuck. Either there aren’t enough data scientists to exploit the value in the data or it takes too long to produce accurate, actionable predictive models. Then, it is too hard to productionize them. DataRobot can be run on your Hadoop cluster to bring built-in, well-integrated machine learning automation to the Hadoop stack. DataRobot utilizes Spark and is certified compliant for data security and management. This means that DataRobot machine learning data objects and operations are visible to, and under the control of, Hadoop management processes and policies.