DataRobot’s No Code AI: Now Quickly Turn Any Model into AI Application

As no-code AI matures, it becomes valuable to seasoned data scientists and machine learning engineers

In today's ever-changing market, planning for the future of your business is not only more important than ever but also more difficult. The last few years have been filled with uncertainty, across all organizations and industries.

Fortunately, there's a solution- DataRobot's No Code AI App Builder makes planning and preparing for the future of your business easy and quick. By using reliable insights built from your deployed DataRobot AI models–you can help your business make informed decisions. These insights can empower you to address mission-critical needs, whether that's forecasting demand, simulating scenarios to mitigate potential supply chain disruptions, optimizing staff allocation for ER shifts, or predicting who's most likely to default on a loan.

AI Apps aren't just powerful business tools, they are also specifically designed so that any user, regardless of their technical expertise, can quickly turn a deployed model into a rich AI application, thanks to a platform that requires no coding. This means that any predictive model can become an AI app in minutes, putting the power of DataRobot directly in the hands of your front-line decision-makers. 

One of the challenges that organizations face with scaling AI is turning deployed models into simple consumable decision-intelligence solutions for business users to use on the front lines. 

The DataRobot No Code AI App Builder allows you to quickly turn any model into an AI application, without requiring any coding. This makes it much easier for business users and information workers to leverage predictions generated by their models and make more informed AI-driven decisions.

As no-code AI has matured, it has also become valuable to seasoned data scientists and machine learning engineers, who are interested in automating the tedious parts of their job. Throughout the entire machine learning development lifecycle, more advanced users can integrate their hand-written code with DataRobot's automated tools. Alternatively, they can extract the Python or R source code for the models DataRobot generates and further customize it for integration into their applications.