Today’s laboratories are becoming increasingly complex, with ever more data being generated and captured. At the same time, regulatory oversight is stronger than ever and places new compliance burdens on everyday operations. In response to this landscape, many laboratories have already implemented digitalization technologies or are in the process of doing so. But with the rise of Industry 4.0, which brings increased automation and digital information transfer in manufacturing, many organizations are contemplating what this means for the future of the lab.
Today’s laboratories are becoming increasingly complex, with ever more data being generated and captured
Gemma Church looks at the use of additive manufacturing processes in engineering
Robert Roe interviews laboratory informatics software providers who discuss potentially disruptive technologies and their impact on the laboratory informatics market
Dassault Systèmes has announced the launch of a cloud-based marketplace – a trading platform for digital design, engineering and manufacturing transactions.
Bouygues Construction is accelerating the digital transformation of its project activities by collaborating with Accenture and Dassault Systèmes. The partnership will help the company to centrally manage construction projects from start to finish.
Gemma Church finds out how electric vehicles can make performance and user experience improvements
Dassault Systèmes has outlined multiple milestones in its Living Heart Project aimed to drive the creation and use of simulated 3D personalised hearts in the treatment, diagnosis and prevention of heart diseases
Dassault Systèmes has announced the launch of Solidworks 2018, the latest release of its portfolio of 3D design and engineering applications.
Dassault Systèmes and Exa Corporation, a provider of simulation software for product engineering, has announced the signing of a definitive merger agreement for Dassault Systèmes to acquire Burlington, Massachusetts-based Exa
Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.
This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value
This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment