Tech Mahindra is the Premium Sponsor at the Siemens Realize LIVE Americas 2026
Embrace the Intelligent, Model-Based Paradigm in Product Engineering
Organizations today struggle, despite having access to advanced tools, due to fragmented product knowledge and delayed action. Legacy data remains trapped in documents, new programs begin with ambiguity, traceability is maintained manually, and engineering decisions are often disconnected from cost, manufacturability, and validation.
Explore our showcase, where we are addressing these challenges through a modular, AI-enabled, model-centric approach to build a scalable digital product engineering backbone.
Closed-loop, AI-enabled Model-Based Engineering and MBSE digital thread
Model-Based Systems Engineering
Script-based text-to-MBSE model generation enables automated design execution and end-to-end traceability across mechanical and hardware domains.
Model-Based Enterprise
Automated Model-Based definition connects CAE, CAM, costing, XR validation, and visual inspection while preserving system design intent.
Artificial Intelligence
AI-driven legacy data consolidation and text-to-model definition convert decades of requirements, FMEAs, and PLM data into structured engineering intelligence.
Agile to Team Center transition
Transition from Oracle Agile PLM to Siemens Teamcenter enables scalable PLM modernization with improved collaboration, compliance, and connected engineering workflows.
Agenda
10:00 AM onwards
Effective approach to AI-Powered Model-Based Engineering
10:30 - 11:00 AM
Insights
Meet our Leaders
When
Where