RapidMiner introduced a new release of its AI-driven enterprise data science platform that supports extended teams in a single, unified cloud environment for the first time.
The new platform includes the full functionality of the company’s existing platform — in use among more than one million analytics users worldwide — in a multi-tenant cloud platform that also delivers an enhanced user experience to simplify problem solving and analysis.
Officials of RapidMiner say the new release fully leverages the cloud’s elastic nature and increases scalability dramatically to meet the most demanding enterprise requirements.
The key goal of this next-gen cloud platform: Helping data scientists realize faster business value through no-code AI applications that are easy to create and use.
RapidMiner supports a full range of business users: from data scientists to analysts to business experts. As a shared cloud application, it can help break down silos and drive collaboration while fitting cleanly into today’s primary enterprise architecture.
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RapidMiner partners said they expect to see rapid uptake with this latest release due to its scalability and the flexibility to adapt easily to changes in architecture, policies, and people. It is expected to help partners and their customers operate in an agile fashion.
Rapid Miner includes three applications under one umbrella called the AI Hub:
- Studio: a comprehensive data science platform with visual workflow design and automation.
- Go: enables non-coding business experts involved in data science projects to provide critical context and help drive results.
- Notebooks: collaborative tool to unify coders and non-coders and to enhance productivity.
Key features of the platform include
- A visual workflow designer to bridge the gap between automated data science and embedded coding notebooks.
- Fully automated data science to make projects accessible to non-coding domain experts while enhancing productivity for experienced data scientists.
- Support for creating custom data science solutions that can be packaged for reuse within drag and drop workflows.
RapidMiner supports all the key functions that comprise the analytics lifecycle: data engineering, model building, model operations, application building, collaboration, and governance, as well as trust and transparency.
Stay tuned for additional coverage as we dig deeper into this new release with RapidMiner leadership.
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