Engineering Intelligence: Connected systems, smarter futures
Systems engineering is the engine that is empowering organizations to design, integrate and manage sophisticated systems across their entire lifecycle. As industries shifts toward smarter, more connected products and services, the role of systems engineering is becoming mission-critical. By unifying data, tools and transformative technologies like Model-Based Systems Engineering (MBSE), Application Lifecycle Management (ALM), Product Lifecycle Management (PLM), Software-Defined Vehicles (SDV) and AI, we enable organizations to navigate complexity with confidence and deliver smarter, more resilient systems which can enhance traceability and accelerate time-to-market.
Join us at the event where we showcase our engineering excellence, which drives intelligence, seamless collaboration, real-time insights and agile innovation for our clients.
Speaking session
From silo to mainstream: Supercharging MBSE to connect with ALM and PLM
Over the past decade, MBSE tools have matured to enable system architecture in a domain-independent way. These tools allow description of a multidisciplinary system, in terms of its structure, behavior and concerns. A lot of focus has been given to integrating these descriptions with analysis tools, to aid in making architecture decisions.
However, integrations are also needed with the rest of product development data and tools, such as detailed design, test management, requirement management and more so that architecture decisions are consistently communicated and managed across different configurations, versions and stages of evolution. Discover how to unlock collaboration between MBSE models and ALM or PLM effectively.
Enterprise Architect, MBSE Lead, HCLTech
Senior Director, Head of Digital Design Practice - Europe and Japan, ERS, HCLTech
Our solutions at the event
HCLTech Cameo Connectors
Facilitating bi-directional data exchange between Cameo Systems Modeler (CATIA Magic), Teamcenter PLM and Polarion ALM. By enabling real-time synchronization and robust traceability, our connectors enhance collaboration and streamline workflows across different tools among cross-functional teams.
HCLTech XLM.AI
An AI-powered solution designed to enhance productivity, decision-making and collaboration across leading PLM and ALM platforms such as Siemens Teamcenter, Siemens Polarion, PTC Windchill, PTC CodeBeamer, PTC Pure::Variants, Dassault3DX, JAMA Connect, IBM ELM, etc.
Future-forward Conversations with HCLTech Leadership at the Event
Sales Director, Japan
DDMS – GTM - EU
Enterprise Architect (Product Owner – MBSE Connectors)
Global Alliance Sales Director
Regional Sales Director, Japan
PLM Practice, Japan
Trends and Insights
The AI edge: Driving scalable innovation in manufacturing
Powered by AI and its subsets, including GenAI and Agentic AI, cloud and IIoT technologies, smart manufacturing is evolving fast
Generative AI: Balancing innovation with risk and responsibility
Govind Chandranani, Practice Head of Engineering and R&D Services at HCLTech, discusses how enterprises adopting GenAI must embed responsible governance to balance innovation with trust and compliance
Smarter, greener, stronger: The role of AI in enhancing energy efficiency and sustainability in data centers
AI transforms data centers into energy-efficient, sustainable ecosystems while supporting growth, predictive maintenance and carbon reduction goals
Shaping the future of innovation: Key trends driving the ER&D market in 2025 and beyond
The ER&D landscape of 2025 is undergoing significant transformation, driven by technological advancements, economic shifts, geopolitical changes and the growing demand for sustainable innovation
Semiconductor trends in 2025: Pioneering the future of technology
The semiconductor industry is transforming amid global demand, geopolitical shifts and innovation needs. Despite supply chain and talent issues, the future is promising for those who adopt change
Building the intelligent factory: Convergent technologies and the industrial metaverse
To build intelligent factories, organizations need to embrace pragmatic, scalable and sustainable solutions