Altair, a global leader in computational intelligence, is launching major updates across Altair RapidMiner, its data analytics and AI platform, to help organizations operationalize intelligence.
According to the company, the latest updates strengthen Altair’s data analytics and AI ecosystem, empowering organizations to build scalable, trusted, and intelligent data environments.
“The latest updates help organizations move from isolated analytics to fully connected intelligence,” said Sam Mahalingham, chief technology officer, Altair, and head of simulation, Siemens Digital Industries Software. “By bringing together AI, data governance, and real-time decisioning, Altair enables every team—from business analysts to data scientists—to turn data into action faster and more confidently than ever before.”
Altair AI Cloud delivers a secure foundation for deploying intelligent, multi-agent systems at scale. Through the new Agent Studio, users can build and orchestrate agentic workflows combining large language models (LLMs), machine learning, and enterprise data in one environment, the company said.
Enhanced multi-agent collaboration allows agents to reason, retrieve, and automate tasks collectively. With these features, traditional data processes become dynamic, autonomous ecosystems that democratize access to enterprise-grade AI, said the company.
Altair Graph Studio anchors Altair’s ecosystem with semantic data intelligence and governance for agentic systems. With Model Context Protocol (MCP) integration, agents directly interact with Graph Studio to query, reason, and make decisions, while embedded LLM-powered copilots simplify metadata management and ontology creation.
The release also introduces granular attribute-based access controls and policy-driven governance for improved privacy, compliance, and lifecycle management—helping to ensure data is not only connected but also controlled and compliant, the company said.
Altair Panopticon continues to redefine real-time analytics for industries where milliseconds matter. The update introduces a rebuilt network graph visualization with richer node-edge detail, customizable labels, and advanced styling options. A new guided workbook experience walks users step by step through dashboard creation, while automatic data refresh keeps visualizations aligned with live data—assisting in ensuring every decision is made from the most current information.
Enhanced data table management, faster rendering, and expanded connectivity—including InfluxDB v2 and advanced alerting—further accelerate insight generation for time-critical decisions.
Altair SLC broadens language coverage and data connectivity with a new Databricks connector, expanded HDFS and Tagsets.RTF support, and dozens of enhanced and new SAS procedures. Running seamlessly across major operating systems and environments, Altair SLC empowers users to execute SAS, Python, R, and SQL in one unified framework.
Building on this foundation, Altair SLC Hub delivers centralized orchestration, scheduling, and resource management for SLC clusters, Altair said. The latest release introduces a command-line interface (HubCLI) and Windows credential integration for improved workload control, with upcoming support for single sign-on and high availability.
Altair Analytics Workbench builds on the integration between Altair SLC and SLC Hub, giving users a single, multi-language workspace to build, run, and deploy analytics. Now available on Windows, Linux, and macOS, the latest version adds a stand-alone SQL query block, a workflow import accelerator, and an AI-powered copilot for code generation, documentation, and data exploration.
Altair Monarch continues to lead in self-service data preparation, giving analysts a faster way to turn raw, complex data into trusted, analysis-ready datasets. The release introduces support for writing Monarch expressions to filter data directly from ODBC sources such as SQL Server, Oracle, MySQL, and DB2—eliminating the need for complex SQL queries or database-specific syntax.
Extending Monarch’s capabilities to the enterprise, Altair Monarch Server provides scalable report storage, process orchestration, and automation within a centralized, high-availability environment. The new release adds support for SQL Azure instance deployment, a unified job view combining logs from multiple workflows, and a consolidated interface for pre-mined table access.
For more information about this news, visit https://altair.com.