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Virtual & Mixed Reality in Engineering
Read in fullVirtual Reality (VR) and Mixed Reality (MR) are revolutionizing the engineering field, offering transformative benefits beyond traditional methods. These technologies provide immersive experiences by merging digital and physical realms, allowing for enhanced design, prototyping, and training. Engineers can use VR/MR to iterate designs, simulate real-world scenarios safely, and collaborate remotely, breaking down geographical barriers. The result is increased accuracy, cost efficiency, and faster time to market, making these technologies invaluable in today's competitive landscape. While there are challenges like initial setup costs and the need for specialized training, the advantages far outweigh these hurdles. Discover how VR and MR can streamline operations, enhance learning, and improve project outcomes in the engineering sector.
The Role of A Chief Data Officer
Read in fullIn today's data-driven world, the role of a Chief Data Officer (CDO) has evolved into a crucial leadership position. This article explores how CDOs transform raw data into strategic assets, ensuring its accuracy, completeness, and security. By fostering a data-driven culture, CDOs break down silos and enhance decision-making across departments, leveraging cutting-edge technologies like AI and machine learning to drive innovation. They play a critical role in governance, protecting organizations from data breaches and ensuring compliance with global regulations. Discover why a CDO is not just a data guardian but a catalyst for business growth and competitive advantage. Whether you're considering adding this role to your company or already have one, this article will provide valuable insights into the strategic importance of a CDO.
Women shaping the future of Product Data Management
Read in fullProduct Data Management (PDM) is pivotal in modern industrial processes, ensuring efficient product development and management through organized data. Despite its crucial role, women remain underrepresented in PDM, highlighting the necessity of gender diversity for innovation. A diverse workforce brings together individuals with different backgrounds, perspectives, and experiences. This diversity of thought fosters innovative problem-solving approaches and encourages creativity within the organization. When teams are composed of individuals with varied viewpoints, they are more likely to challenge assumptions, explore alternative solutions, and generate novel ideas. This diversity-driven creativity can lead to breakthrough innovations, competitive advantages, and adaptability in an ever-changing business landscape.
How the automotive sector can help the MOD equipment plan
Read in fullBy now, most of us have read one of the media articles covering the National Audit Office’s unveiling of the metaphoric elephant in the room, which is the unaffordability of the MOD equipment plan due to a £16.9bn ‘black hole’. In this article, QR_’s Shane Mason takes a high-level look at how practices from the automotive sector should be considered as a means to help reduce costs for the MOD equipment plan.
Reshaping a people-centered industry: 7 takeaways from the Reuters Automotive USA 2023 conference
Read in fullThe power of data and proper data management are increasingly being embraced by manufacturing businesses as they embark on the journey to become truly data-driven organisations. Quick Release is uniquely focused on this, connecting the operating model silos to curate timely, accurate and human centric information flows. Recognising that the foundation of a Data-driven Organisation is data quality. QR_‘s experience has led to an approach to NPD and PDM that connects silos, and marries the efficiency and precision of a best-in-class process of timely, accurate, and human-centric insights.
AI and your Bill of Materials: why token limits are nothing new
Read in fullTraditionally BoM validation is conducted either manually by engineers that understand the product (e.g. BoM Audits, Build Matrices, Commodity Quantity Checks etc.) or through simply building the product (either virtually or physically) and finding the errors that result. Both methods are highly costly in time and material waste. These experiments aim to find a third way, by using the recent advances in Foundation Models to create a smart and repeatable method of performing fast and accurate AI powered BoM Validation at scale. These some early reflections on working with LLMs in this context. | Image: “a large language model in the style of the earliest computing 1950s”, generated by Midjourney.