Altair has unveiled new features for its Altair® RapidMiner platform, enabling users to build and deploy advanced AI agents that integrate seamlessly into business workflows. This enhancement leverages generative AI (genAI) to create intelligent systems capable of advanced automation and operational intelligence.
Sam Mahalingam, Altair’s Chief Technology Officer, highlighted that the platform, already trusted for machine learning and data analytics, now includes a robust AI agent framework. This framework empowers users to develop autonomous AI agents that integrate graph-based intelligence, machine learning models, simulations, and business rules. The result is a more computationally optimized automation system that maximizes data value and keeps organizations competitive.
A key innovation is the dynamic, graph-powered AI fabric, which allows agents to function within an intelligent ecosystem where data, actions, and actors are integrated in real-time. This system transforms traditional operations into adaptive, intelligent ones, with AI agents collaborating alongside humans and other systems. The integration of knowledge graphs enhances AI agents’ ability to understand relationships, dependencies, and real-time data, providing actionable insights in complex environments.
Altair RapidMiner also emphasizes transparency and accountability, with built-in governance and traceability features. AI agents’ actions are logged and monitored, ensuring full transparency. The platform also enables agents to adapt to new contexts, collaborate with others, and refine their decision-making autonomously.
Furthermore, the platform incorporates advanced capabilities such as natural language understanding (NLU), API integration, multi-agent coordination, context awareness, and advanced planning and reasoning. These features allow agents to process complex inputs, collaborate on tasks, and adjust based on real-time data, enhancing their dynamic problem-solving capabilities.
Altair RapidMiner’s new AI agent capabilities significantly enhance data automation and AI-driven decision-making, providing businesses with powerful tools to stay ahead in an increasingly data-driven world.
