DataRobot: Automating Predictive Modelling

Artificial Intelligence is software which is designed and programmed in such a manner that it thinks and act like a human.Our life is changed by AI because this technology is used in a wide area of day to day services. DataRobot offers a machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.

The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge machine learning algorithms to discover, deploy, and customize the best machine learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to data science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA.

DataRobot enables organizations to leverage the transformational power of AI by delivering the world's only trusted Enterprise AI platform and trusted AI success as a service to help customers rapidly turn data into value.

WHAT THE PLATFORM DOES

The DataRobot enterprise AI platform democratizes data science and automates the end-to-end process for building, deploying, and maintaining AI at scale. Powered by the latest open source algorithms, and available in the cloud, on-premise, or as a fully-managed AI service, DataRobot gives you the power of AI to drive better business outcomes.

WHY YOU SHOULD CHOOSE DATAROBOT?

Automation

With DataRobot you empower your existing team to build and deploy highly accurate machine learning models in a fraction of the time it takes using traditional data science methods – allowing your organization to scale data science capabilities quickly. Instead of spending weeks or months developing and testing a few hand-coded models, your current team can build hundreds of models and deploy the best performing model in hours.

Accuracy

Automation and speed shouldn't come at the expense of quality. DataRobot uniquely delivers on all fronts, bringing world-class data science technology to companies with uncompromising results. DataRobot chooses the most appropriate machine learning algorithms, then automatically optimizes data pre-processing, feature engineering, and tuning parameters for each algorithm to create and rank highly accurate models. It then recommends the best model to deploy for your data and prediction target.

Transparency

DataRobot offers superior interpretability and explainability so you can easily understand how models were built as well as explain why a model made the prediction it did - confidently. Built-in interactive visualizations and automated model documentation help you understand which types of data impact a model the most and provide deep insight into how individual values impact your business.

Collaboration

Many organizations rely on a complex and diverse set of task oriented tools that differ for technical and non-technical users. With DataRobot you get one unified platform designed for a range of users; fostering collaboration and ultimately building an AI culture across your organization. Build models and generate predictions with DataRobot on-premise or in the cloud, using your choice of an intuitive GUI or a powerful API.

One platform, Runs anywhere

The DataRobot Enterprise AI platform includes two independent but fully integrable machine learning model building products, and each can be deployed in multiple ways to match your business needs and IT requirements. All configurations feature a constantly expanding set of diverse, best-in-class algorithms from R, Python, H2O, Spark, and other sources, giving you the best set of tools for your machine learning and AI projects.

WHERE CAN YOU USE IT?

Drug Delivery Optimization

DataRobot helps optimize supply chain delivery processes by predicting which orders can likely to be consolidated. DataRobot’s algorithms and feature engineering naturally handle these complex datasets to generate the most accurate machine learning models in minutes.

Counterterrorism

DataRobot helps the Intelligence Community stay ahead of threats. DataRobot can rapidly develop models that help analysts enhance their own insights, as speed is of the essence in these cases. With DataRobot, hypotheses can get tested, deployed, and refined quickly, helping the Intelligence Community keep up with threat analysis.

Fraud detection

With DataRobot, testing, deploying to production, and refreshing to account for new data is a straightforward and rapid process, meaning that analysts can build the right model to combat this pressing issue in minutes, not months. Analysts simply need to use the data from previous fraud cases that serves as the historical basis for future model prediction.

MEET THE CEO, JEREMY ACHIN

Jeremy is a data scientist-turned-entrepreneur. In his current role as CEO, Jeremy sets the direction of the company and products, as well as the culture. He’s considered a data science thought leader, and spends significant time traveling to the world’s largest organizations to speak about practicing data science at scale. Previously, he was Director of Research and Modeling at Travelers Insurance, where he built predictive models for pricing, retention, conversion, elasticity, lifetime value, customer behavior, claims and much more. A true data science enthusiast, Jeremy even spends his spare time building predictive models, usually on the data science competition platform Kaggle.com. Jeremy studied Math, Physics, Computer Science, and Statistics at University of Massachusetts, Lowell.

“Transform into an AI-driven enterprise, implementing machine learning models that solve complex business problems and drive real ROI.”