Solving the Data Challenges of Digital Engineering

Computing powers today’s science and engineering innovations. From aerospace and automotive to life sciences and computational chemistry, nearly every industry is seeing explosive growth in the use of computer simulations to accelerate new product development.

The rise of computational science and engineering has been accompanied by an explosion of engineering and simulation data. Many enterprises are struggling to manage this data to effectively harness its value, even as they grapple with the transition to cloud computing and globally distributed workforces.

To successfully compete in today’s world of computing-enabled product development, R&D leaders need to ensure that simulation data and insights are broadly accessible and contextualized. Making this transition while being mindful of people and existing processes is critical to success.

Shared access to data and shared context on data delivers increased engineering quality and velocity with improved collaboration, decisionmaking, and traceability. With these capabilities in place, organizations will have the data architecture necessary to support the promise of comprehensive digital threads.

This ebook synthesizes Rescale’s experience working with leading global engineering-driven organizations. It examines their key challenges and the best practices for building data-driven engineering teams that accelerate innovation.

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