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laboratory informatics

and invest in services and infrastructure to implement effectively and support their solutions in a cost-effective way for their customers. Te (obvious) guiding principle that a sale of a LIMS, SDMS, ELN or LES is not complete and successful until it is in live operation and meets business requirements, will be as true tomorrow as it has been in the past. Te future is bright. Over the past 30

years we’ve progressed from data acquisition and sample tracking systems operated on ‘green screens’ driven by wardrobe-sized departmental mini-computers to using powerful lab informatics systems capable of supporting truly paperless laboratory operation accessible from anywhere in the world, using a mobile phone. In the next decade the benefits of ‘big data’ and cloud- based computing will truly unfold. I’m very confident that lab informatics will remain an exciting and rewarding field to work in, as we continue to push the boundaries of how soſtware can support science.

Nick Townsend is managing director of LabWare Europe

Driven by these market forces, our story

has been one of continuous growth and transformation as we expanded and diversified our product and service offerings with new Scientific Product Lifecycle Management (SPLM) solutions built on an open, scientifically-aware technology infrastructure. Tis approach connects the entire value chain with paperless, integrated processes from discovery to commercialisation, greatly improving upon the jumble of small, specialised point solutions many organisations have stitched together from home-grown and vendor-supplied technologies. To remain competitive in the 21st century,

science-based organisations will continue to deploy cross-functional business processes that span product lifecycles. Leveraging SPLM, organisations will innovate faster and compete more effectively in producing environmentally safe and sustainable products for the global economy. Most importantly, the strategy accelerates time to value by providing predictive insight into chemical, biological, and materials properties through modelling and simulation which can decrease cycle times and costs by reducing or eliminating testing. Te strategy helps organisations manage and connect scientific innovation processes and l

information with other lifecycle systems. It enhances quality and compliance. Ultimately, it improves velocity across the discovery to commercialisation process. Te old way of wiring together hundreds

of point products is unsustainable. To unlock the true value of digitising processes and drive sustainable growth, systems supporting




research, development and manufacturing need to work in concert across the innovation lifecycle. We will continue to partner with organisations to design and deploy strategic scientific innovation capabilities in predictive science, operations intelligence and both laboratory and quality management. With these advances, we are fast approaching the


point where materials become variables instead of constraints. Greater flexibility in sourcing and substituting raw materials during scale-up to manufacturing can lower costs while improving quality. Te approach enables organisations to manage and leverage product information at the molecular level in a scalable manner throughout the value chain. Te strategy also positively impacts business performance by forging a critical link between R&D activities and downstream Product Lifecycle Management (PLM) processes – where Dassault Systèmes is a world leader. In the future, we will see the continuing

convergence of scientific and enterprise soſtware as more and more companies demand an integrated, holistic approach to managing the path from discovery to commercialisation. Tied to this, science-based, innovation-driven organisations are becoming more social and global in the way they collaborate. New industry solution experiences that leverage these capabilities will help organisations bring higher quality products to market for a healthier, safer, more sustainable world.

Max Carnecchia is CEO, Biovia, Dassault Systèmes


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