DataRobot Inc., an artificial intelligence startup, today announced a fully managed version of its AI Cloud platform that helps companies build machine learning software and applications quickly and without programming skills.
DataRobot’s AI Cloud made its debut a year ago. At the time, the company said it could act as a central hub for customers’ AI initiatives, providing all the functionality needed to handle the core coding and software delivery tasks involved in building machine learning applications.
With AI Cloud, DataRobot massively simplifies the process of building machine learning applications. The platform uses its own AI algorithms to help users create custom machine learning models without having to write any code.
Instead, AI Cloud looks at the data the user wants to process, finds the most appropriate neural network for the task, and then automatically adjusts it to boost performance. Everything is done through a simple drag-and-drop interface, so even non-programming users can create ML models. Users simply upload the data files they want to process, mark items of interest, and DataRobot then uses an algorithm to match the data with each application to provide analytics capabilities.
The new version of this platform, DataRobot Dedicated Managed AI Cloud, further streamlines enterprise AI operations as it eliminates all deployment and maintenance headaches.
Customers can now deploy a dedicated, managed instance of DataRobot’s AI Cloud, providing all the functionality for their AI initiatives. They can save a lot of time and resources as they no longer have to set up the platform correctly and manage it on a daily basis.
All they have to do is specify their security, isolation, and data residency requirements, and they’re good to go. Each deployment of Dedicated Managed AI Cloud is hosted in a dedicated and separate Virtual Private Cloud operated, monitored and maintained by DataRobot experts.
Venky Veeraraghavan, senior vice president of product at DataRobot, said Dedicated Managed AI Cloud offers two distinct benefits to customers. “Customers can focus on driving their business outcomes while DataRobot manages the operational elements while maintaining their specific security needs and benefiting from the cloud’s evergreen delivery and new capabilities,” he said.
According to DataRobot, these are important benefits as many companies’ AI initiatives have become more complex and span multiple lines of business and teams. It cites a recent study by analyst firm Omdia, which shows how more than 25% of companies using AI are now scaling these projects company-wide.
“This represents a dramatic increase from previous research that favored departmental use,” said Bradley Shimmin, analyst at Omdia. “It also points to a significant increase in management costs, maintenance complexity and risk exposure for organizations that choose to continue managing their own infrastructure.”
