Richard Simpson (he/him)

At Bryden Wood, we say that we are powered by technology as a methodology, a way of thinking that unlocks new approaches to complexity.

Furthermore, this industrialised construction shift isn’t going to happen overnight.It’s taken the automotive industry years to get to the use of six-axis robots, but that was an evolution from very simple automation.

This process is about baby steps, not huge leaps to the end state.. Johnston says we need to “simplify the process, understand, get the foundations right.”.This has to come before we can start to apply other things..In the past year, COVID-19 has shown us just how much is possible.

Marks feels that a behavioral shift is the main element needed to utilise our existing technology to more of its fullest potential.It’s a long game, she says.

This is about product-led thinking and strategic initiatives focused on long-term business health.. “You need an ecosystem of products, ours and other people's, to make this possible, but you first need leadership to give you permission to learn a direction, a strategy, the reasons you're doing this, and that, rarely, if ever, lives in one project.

We have to stop this nonsense that we're going to somehow change the world with one project.”.This highlighted briefly just some of the important and transformational work that happens in thousands of laboratories by millions of scientists and technicians.. Now, however, labs have moved to the background once again.. Before collating and expressing the insightful views about laboratories of the future tabled at this event, it feels important to define laboratory in the context of this conversation.

Those present represented lab innovation – from pure research to routine mass-testing; from medical, pharmaceutical and genetics, to battery technology..The need to focus on the future function of labs, rather than generic labs was clear..

The group agreed that opportunities to magnify the value output of laboratories lie within the broad spectrum of data, automation/growth in data processing, and smart technology and systems.Artificial Intelligence and Machine Learning offer transformational change in value creation.