Altair® RapidMiner® Unlocks Next-Level Capabilities with Advanced AI Agent Framework

Core Insights - Altair has enhanced its RapidMiner platform to enable users to build and deploy advanced AI agents, integrating generative AI into workflows for improved automation and operational intelligence [1][2]. Company Overview - Altair is recognized as a global leader in computational intelligence, providing software and cloud solutions in simulation, high-performance computing, data analytics, and AI [7]. Product Features - The new AI agent framework in Altair RapidMiner allows for the creation of autonomous AI agents that integrate graph-based intelligence, machine learning, simulations, and business rules, enhancing operational capabilities [3]. - Key features of the AI agents include: - AI Fabric: A dynamic, graph-powered environment that unifies data, actions, and actors, enabling real-time collaboration between agents and humans [4]. - Graph-Powered Contextual Intelligence: Utilizes knowledge graphs for a comprehensive understanding of relationships and real-time data, allowing agents to adapt and generate insights [4]. - Seamless Integration: Combines agentic AI with physical simulations and traditional models, creating a robust platform for scalable automation [4]. - Governance and Traceability: Ensures all actions of AI agents are traceable and governed, providing transparency and accountability [4]. - Enhanced Multi-Agent Collaboration: AI agents act as dynamic participants, continuously refining their context and collaborating with other agents and human users [4]. Advanced Capabilities - Altair RapidMiner's AI agents feature advanced capabilities such as: - Natural Language Understanding (NLU): Enables agents to process complex inputs [5]. - Tool Integration: Connects seamlessly to APIs and external tools [5]. - Multi-Agent Coordination: Facilitates collaboration on complex tasks [5]. - Context Awareness and Memory: Ensures continuity across tasks [5]. - Advanced Planning and Reasoning: Allows for dynamic strategy adjustments based on real-time inputs [5].