This is a meetup dedicated to customers of DataRobot, and those interested in the business applications of AI and predictive analytics.
What can you expect?
We often hear from our community that they are curious about how other people are tackling business problems through an AI-driven approach that is enabled by DataRobot. These forums will offer overviews of real-life use cases, and subject matter experts presenting on developments in the AI industry.
We anticipate meeting 4 times a year in Sydney and Melbourne.
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises competing in today’s Intelligence Revolution. DataRobot’s enterprise AI platform (https://www.datarobot.com/platform/) democratises data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI. Learn more at datarobot.com (http://datarobot.com/).
DataRobot as a platform
DataRobot provides a machine learning platform for a spectrum of data-driven users and skill levels. From the progressive business analysts or statisticians to the applied data scientists - users can build and deploy accurate predictive models in fraction of the time it used to take. DataRobot addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.
DataRobot searches through millions of combinations of algorithms, data preprocessing steps, transformations, features and tuning parameter to narrow down the universe of possible solutions for a given data set and prediction target. It then evaluates thousands of models in parallel to deliver the best predictive model in the shortest amount of time. The platform uses massively parallel processing to train and can evaluate predictive models in technologies such as R, Python, SparkML, H2O and other open source libraries. Deployment of these models – and the predictions they produce – is accessed via a simple Rest API. No heavy coding or translation required.