Associate Manager, Software Quality Engineering

AspenTech launches training for new engineers. By Grace Bennett September 2, 2026 Aspen Technology has unveiled a new industry domain training initiative designed to help companies operating in asset-intensive sectors integrate fresh engineering talent. Aimed at recently-graduated engineers, the program targets specialized roles such as process engineers, control engineers, reliability engineers, supply chain planners, and cost estimators. The timing of the announcement reflects a broader shift in the industrial workforce. As experienced professionals retire, a new wave of talent is entering the field. A recent survey titled Gaps in the Energy Workforce, conducted by the Centre for Energy Workforce Development, found a significant increase in younger professionals. The data shows that 43 percent of technicians and 25 percent of engineers in the energy sector are under the age of 32. David Reumuth, Senior Director of Customer Support and Training at AspenTech, noted that organizations must adapt to these changing trends. "To stay abreast of the evolving workforce and the ensuing market demands, it is imperative for enterprises to nurture and uphold their organisational proficiency," he stated. The initiative builds on previous efforts, specifically the sustainability-specific training that AspenTech introduced earlier. The new curriculum is designed to accelerate the development of industry-specific skills necessary for success in the process industries. By doing so, companies can aim to achieve operational excellence while helping the emerging workforce tackle operational challenges. Expert-Led curriculum. Developed with domain experts from Becht, an engineering services company with over six decades of experience in energy, chemicals, and power sectors, the curriculum covers process, refining, and chemicals domains. The collaboration ensures a holistic and immersive real-world learning experience for participants. The training is available in both virtual and live classroom formats. It has already attracted over 1,000 users from more than 150 companies globally. Led by industry experts with decades of hands-on experience, the sessions provide role-specific insights and allow learners to engage directly with professionals to address their unique process-related challenges. This approach mirrors the way mentorship programs function in traditional trades. While the digital delivery offers convenience, the core value remains the transfer of tacit knowledge from veteran engineers to novices, a process that cannot be fully automated by software alone. It remains to be seen if this structure will scale effectively as the program expands. The program has received strong feedback from participants. An impressive 99 percent of attendees from the new generation of professionals believe that such specialized training should be a prerequisite for entering the process industries. Additionally, 96 percent of respondents said they feel better equipped to excel in their roles thanks to the training provided. The new training modules are accessible through a platform that allows for remote learning. This flexibility is particularly useful for new hires who may not be located near corporate offices. By centralizing the educational content, AspenTech ensures that every participant receives the same high standard of instruction regardless of their location.

Emerson has announced major enhancements to its AspenTech Inmation OT Data Fabric, positioning it as the foundational layer for the AspenTech Inmation Data Platform. The upgraded data fabric creates an industrial data backbone designed to support advanced analytics, AI capabilities and enterprise operations. The enhanced system features a new distributed node-based architecture that replaces rigid components with a modular foundation, enabling deployment from individual plants to global scale. It operates across edge, on-premise and cloud environments on both Windows and Linux platforms. The data fabric serves as the building block for an AI-ready platform that will support modules for virtualisation, workflow engines and applications. It aims to unify operational technology data whilst providing consistent context, governance and real-time information across industrial organisations without disrupting existing operations.