Altair expands its RapidMiner platform to build and deploy advanced AI agents

“By enabling users to build autonomous AI agents that seamlessly integrate graph-based intelligence, machine learning, simulations, and business rules, we're unlocking new possibilities.”

by

Altair has announced the expansion of its Altair RapidMiner data analytics and artificial intelligence (AI) platform. Now, the solution can build and deploy advanced AI agents. This new expansion will help users integrate generative AI (genAI) agents into their workflows, while also providing transformative automation and operational intelligence.

“Altair RapidMiner, already a trusted platform for machine learning and data analytics, is now taking the next step with our AI agent framework. By enabling users to build autonomous AI agents that seamlessly integrate graph-based intelligence, machine learning, simulations, and business rules, we're unlocking new possibilities,” said Sam Mahalingam, Chief Technology Officer at Altair. “This innovative approach, built on the trusted foundation of Altair RapidMiner, allows organisations to maximise the value of their data and achieve a competitive edge.”

Altair RapidMiner’s new features:

  • AI fabric: Users can now operate within the AI fabric, which is defined as a dynamic, graph-powered environment that works to unify data, actions, and actors into one ecosystem.
  • Leverage knowledge graphs: With the new framework, the solution can utilise knowledge graphs to provide AI agents with information regarding relationships, dependencies, and real-time data.
  • Integration with advanced computational systems: Combining agentic AI capabilities and physical simulations, traditional machine learning models, and conventional business rules, the solution is a unified platform that can provide robust, optimised, and scalable automation.
  • Built-in traceability and governance: AI agent actions are always traceable and governed by a universal access control framework with this solution, improving accountability and traceability.
  • Improved collaboration: RapidMiner AI agents work as adaptive nodes within the group, refining context and collaborating with other agents. This helps provide seamless automation and decision-making.

The Altair RapidMiner’s new capabilities help to combine graph-based intelligence, dynamic agent collaboration, and integrations with physical simulations, business rules, and traditional machine learning models. This provides users with the ability to create comprehensive, computationally optimised automation systems.

Users will also benefit from advanced features like natural language understanding (NLU), improved tool integration, multi-agent coordination, context awareness and memory, and advanced planning and reasoning.