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Altair, a global leader in computational intelligence, announced that Altair庐 RapidMiner庐, its data analytics and artificial intelligence (AI) platform, now empowers users to seamlessly build and deploy advanced AI agents. Organisations can leverage Altair RapidMiner to integrate generative AI (genAI) agents into their workflows, enabling transformative automation and operational intelligence. 鈥淎ltair 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,鈥� said Sam Mahalingam, chief technology officer, Altair. 鈥淭his innovative approach, built on the trusted foundation of Altair RapidMiner, allows organizations to maximize the value of their data and achieve a competitive edge.鈥� This new capability brings together the most advanced features of leading AI agent frameworks and enhances them with Altair RapidMiner鈥檚 signature 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 comprehensive, computationally optimized automation systems. New features in Altair RapidMiner for AI agents include: AI fabric: intelligent ecosystems within reach 鈥� Altair RapidMiner supports agents that operate within an AI fabric: a dynamic, graph-powered environment that unifies data, actions, and actors into a seamless ecosystem. This helps users transform operations into intelligent, adaptive systems where agents collaborate with humans and other systems in real time. Graph-powered contextual intelligence 鈥� At the heart of this new framework is Altair RapidMiner鈥檚 ability to leverage knowledge graphs, which provide AI agents with a comprehensive understanding of relationships, dependencies, and real-time data. Graph-based intelligence empowers agents to navigate complex systems, adapt to new information, and generate actionable insights. Seamless integration with advanced computational systems 鈥� Users can now combine agentic AI capabilities with physical simulations, traditional machine learning models, and conventional business rules. This unique integration creates a unified platform that blends cutting-edge AI with proven approaches to deliver robust, optimized, and scalable automation. Built-in governance and traceability 鈥� Altair RapidMiner ensures AI agents鈥� actions are always traceable and governed by a universal access control framework. Every interaction 鈥� whether a human intervention or an agent decision 鈥� is logged as part of the graph, providing full transparency and accountability. Enhanced multi-agent collaboration 鈥� AI agents in Altair RapidMiner aren鈥檛 static tools 鈥� they 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 to achieve seamless automation and decision-making. Altair RapidMiner鈥檚 AI agent capabilities also include all the advanced features users expect from modern agent frameworks, including: Natural language understanding (NLU) 鈥� Allows agents to process and interpret complex inputs. Tool integration 鈥� Seamlessly connects to APIs, enterprise systems, and external tools. Multi-agent coordination 鈥� Allows agents to easily collaborate on complex, multi-step tasks. Context awareness and memory 鈥� Persistent memory ensures continuity across tasks and interactions. Advanced planning and reasoning 鈥� Makes dynamic strategy adjustments based on real-time inputs.