The journey from isolated data analytics to fully connected, enterprise-wide intelligence is being accelerated by a suite of major platform updates. Altair, a global leader in computational intelligence, has announced significant enhancements across its Altair® RapidMiner® data analytics and AI platform. The updates are designed to help organizations operationalize intelligence by bridging human insight, data automation, and agentic AI collaboration within a unified ecosystem, empowering teams to turn data into action more confidently and efficiently.
Quick Intel
Altair updates its RapidMiner data analytics and AI platform.
New Agent Studio enables building and orchestrating multi-agent AI workflows.
Graph Studio integrates Model Context Protocol (MCP) for agentic data interaction.
Panopticon enhances real-time analytics with new network graph visualizations.
The platform broadens language support and data connectivity with Altair SLC.
Updates focus on unifying analytics, governance, and AI across the enterprise.
Driving the Future with Agentic AI and Data Governance
A central theme of the updates is the advancement of agentic AI. The new Agent Studio within Altair AI Cloud allows users to build and orchestrate intelligent workflows that combine large language models (LLMs), machine learning, and enterprise data. This is complemented by enhancements to Altair Graph Studio™, which now features Model Context Protocol (MCP) integration. This allows AI agents to directly interact with the knowledge graph to query and reason over data, while embedded copilots simplify metadata management. Granular access controls ensure this intelligent data layer remains governed, compliant, and secure.
Enhancing Real-Time Analytics and Unified Data Workflows
For industries where decisions must be made in milliseconds, Altair Panopticon™ has been upgraded with a rebuilt network graph visualization and a guided workbook experience for faster dashboard creation. To unify the analytics experience, Altair SLC™ broadens its language coverage and data connectivity, allowing users to execute SAS, Python, R, and SQL in a single framework. The Altair Analytics Workbench® builds on this, providing a multi-language workspace now available on all major operating systems, complete with an AI-powered copilot for code generation and data exploration.
Smarter Data Preparation and Enterprise Scalability
The updates also extend to self-service data preparation with Altair Monarch®. It now supports writing expressions to filter data directly from ODBC sources, eliminating the need for complex SQL. For enterprise-scale deployment, Altair Monarch Server™ provides centralized orchestration and automation, with new support for SQL Azure and a unified job view. This end-to-end approach ensures data preparation pipelines are both powerful for individual analysts and scalable for the entire organization.
These comprehensive updates to the Altair RapidMiner platform signify a strategic move towards a more interconnected and intelligent enterprise. By integrating agentic AI, robust governance, and unified analytics into a single backbone, Altair is empowering organizations to transform data from a static asset into a continuous, strategic advantage.
Altair is a global leader in computational intelligence that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair is part of Siemens Digital Industries Software.
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