Uploaded August 2026 | Updated September 2026, 2 weeks ago
The focus of Industrial AI is shifting to systematic implementations across tools and workflows in engineering, manufacturing, operations and more. For Siemens, that means building AI capabilities around three clear pillars and delivering measurable results at each layer.
In this episode of the Future Ready Podcast, host Spencer Acain is joined again by Samir Desai, Senior Director for AI and Data Strategy at Siemens Digital Industries Software. Samir and Spencer explore how Siemens is putting its industrial AI strategy into practice, from dramatically accelerating simulation and verification workflows to embedding copilots and agents directly into engineering tools, and finally to connecting data across disparate enterprise systems for faster, more confident decision-making.
In this episode you will learn:
(00:53) How AI is accelerating simulation and verification workflows
(06:39) The distinction between copilots, domain agents, digital thread agents, and in-app AI and how they are helping engineers work faster and more effectively
(15:39) The importance of human-in-the-loop design for AI agents in mission-critical industrial environments
(17:14) Why connected data is critical for industrial AI and how modern solutions orchestrate across PLM, MES, ERP, and CRM systems
(22:45) Intelligence Center X and the vision for a fully contextualized, AI-powered data environment
About the voices:
Samir Desai is the Senior Director and Global Program Head for Data and AI at Siemens Digital Industries Software with more than 30 years of experience developing and managing industrial software suites.
Spencer Acain is a technical marketing writer for AI and verticals thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.
The focus of Industrial AI is shifting to systematic implementations across tools and workflows in engineering, manufacturing, operations and more. For Siemens, that means building AI capabilities around three clear pillars and delivering measurable results at each layer.
In this episode of the Future Ready Podcast, host Spencer Acain is joined again by Samir Desai, Senior Director for AI and Data Strategy at Siemens Digital Industries Software. Samir and Spencer explore how Siemens is putting its industrial AI strategy into practice, from dramatically accelerating simulation and verification workflows to embedding copilots and agents directly into engineering tools, and finally to connecting data across disparate enterprise systems for faster, more confident decision-making.
In this episode you will learn:
(00:53) How AI is accelerating simulation and verification workflows
(06:39) The distinction between copilots, domain agents, digital thread agents, and in-app AI and how they are helping engineers work faster and more effectively
(15:39) The importance of human-in-the-loop design for AI agents in mission-critical industrial environments
(17:14) Why connected data is critical for industrial AI and how modern solutions orchestrate across PLM, MES, ERP, and CRM systems
(22:45) Intelligence Center X and the vision for a fully contextualized, AI-powered data environment
About the voices:
Samir Desai is the Senior Director and Global Program Head for Data and AI at Siemens Digital Industries Software with more than 30 years of experience developing and managing industrial software suites.
Spencer Acain is a technical marketing writer for AI and verticals thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.
