Altair RapidMiner Now Offers Advanced AI Agent Framework

Altair RapidMiner, Altair's data analytics and artificial intelligence (AI) platform, now empowers users to build and deploy advanced AI agents. Organizations can leverage Altair RapidMiner to integrate generative AI (genAI) agents into their workflows, Altair reports.

“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,” says Sam Mahalingam, chief technology officer, Altair. “This innovative approach, built on the trusted foundation of Altair RapidMiner, allows organizations to maximize the value of their data and achieve a competitive edge.”

This new capability brings together advanced features of AI agent frameworks and enhances them with Altair RapidMiner's strengths. By combining graph-based intelligence, dynamic agent collaboration, and integrations with physical simulations, traditional machine learning models, and business rules, Altair RapidMiner enables users to create computationally optimized automation systems.

New Features in Altair RapidMiner:

• AI fabric: intelligent ecosystems within reach—Altair RapidMiner supports agents that operate within an AI fabric: a graph-powered environment that unifies data, actions and actors into an ecosystem. This helps users transform operations into intelligent, adaptive systems.
• Graph-powered contextual intelligence—At the heart of this new framework is Altair RapidMiner's ability to leverage knowledge graphs, which provide AI agents with aunderstanding of relationships, dependencies, and real-time data. 
• Integration with advanced computational systems—Users can combine agentic AI capabilities with physical simulations, traditional machine learning models and conventional business rules. This integration creates a unified platform that blends AI with approaches to deliver optimized and scalable automation.
• Built-in governance and traceability—Altair RapidMiner ensures AI agents' actions are always traceable and governed by a universal access control framework. Every interaction—whether a human intervention or an agent decision—is logged as part of the graph.
• Enhanced multi-agent collaboration—AI agents in Altair RapidMiner are dynamic participants in workflows. They act as adaptive nodes within the graph, continuously refining their context, collaborating with other agents, and orchestrating processes alongside human users.

Altair RapidMiner's AI agent capabilities also include the following:

• Natural language understanding—Allows agents to process and interpret complex inputs.
• Tool integration—Connects to application programming interfaces, enterprise systems, and external tools.
• Multi-agent coordination—Allows agents to collaborate on complex, multi-step tasks.
• Context awareness and memory—Persistent memory ensures continuity across tasks and interactions.
• Advanced planning and reasoning—Makes dynamic strategy adjustments based on real-time inputs.

To learn more about Altair RapidMiner, visit https://altair.com/altair-rapidminer.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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