An article posted earlier this year by SiliconAngle, a tech and enterprise news blog, outlines how “DataRobot makes life easier for data scientists with integrated AI model notebooks”.

The article discusses how DataRobot, a prominent player in the AI development platform, has unveiled an exciting new feature called DataRobot Notebooks. This integrated solution, part of their AI platform, aims to revolutionize the lives of data scientists by providing a seamless and collaborative environment for code-based workflows. While DataRobot is known for its user-friendly AI Cloud product, DataRobot Notebooks specifically caters to technically inclined users and aims to enhance their experience.

Developing an AI model typically involves finding the right algorithm, customizing it, and training it with sample data. DataRobot AI Cloud simplifies these tasks, but for those with a more technical background, DataRobot AI offers additional features to streamline feature engineering and allow manual customization of AI models using a specialized code editor. DataRobot Notebooks specifically targets these technical users.

Notebooks are a popular tool among data scientists for experimenting with AI models and sharing insights through interactive computation and code snippets. However, as machine learning projects grow and the number of notebooks used increases, managing them becomes challenging, with complex dependencies and libraries that can overwhelm data science teams.

To address these challenges, DataRobot has introduced its integrated Notebooks system, designed to streamline the code development experience for data science workflows. The goal is to allow data scientists to focus on their core work instead of getting bogged down by infrastructure management tasks.

Venky Veeraraghavan, Senior Vice President of Product at DataRobot, emphasizes that DataRobot Notebooks were developed in response to customer requests for a notebook solution that supports their data science work and removes the burden of infrastructure maintenance. The new feature aims to foster collaboration and transform data science into a true team effort by providing a fully managed, secure, and cloud-first solution.

With the introduction of DataRobot Notebooks, DataRobot aims to empower data scientists, simplify complex workflows, and foster collaboration, ultimately driving innovation and efficiency in the field of AI.

Click here to read the article from SiliconeAngle.