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Research & Innovation

Research That Actually Means Something

Most industry research is written for people who already agree with the conclusion.

GoSmarter covers academic research, industry studies, and data-backed analysis that is relevant to metals manufacturers. The question is always the same: does this help a production manager make a better decision?

Topics include:

  • AI adoption in manufacturing: what the adoption data shows, not what vendors claim
  • Scrap reduction and yield research: measured outcomes from real facilities
  • Workforce and skills studies: the human side of automation
  • Industry 4.0 implementation research: what separates the pilot projects from the deployments that stick
  • Environmental impact studies: scope 1 and 2 emissions in metals production

Where research findings have direct implications for how GoSmarter builds its tools, that is noted explicitly. Where the evidence is mixed or the sample sizes are small, that is noted too.

Good decisions come from clear data. That is what these posts aim to deliver.

What does NatWest's Future Fit report say about digital transformation for manufacturers

The latest Future Fit report focuses on “trailblazers” and what makes them different to other organisations. It covers the importance of innovation and of current developments in the industry such as digital transformation.

Read More: What does NatWest's Future Fit report say about digital transformation for manufacturers

Manufacturers - you need DataOps

DataOps also helps you build a more agile digital supply chain by enabling analytic teams to automate their processes, which in turn reduces cycle time on data analytics. Getting this data infrastructure right is critical for helping Operational Technology (OT) get the most out of real-time data to optimise processes. DataOps is part of your ability to move quickly in the digital space. It should be part of your overall approach to your developer velocity and can help staff to discover the data they need to drive insightful improvements in your organisation.

Read More: Manufacturers - you need DataOps

Europe’s Digital Strategy and Manufacturing

Data in manufacturing could have a net benefit of €1.5 trillion by 2027 so the European Digital Strategy needs to help realise that benefit. The strategy will help make common data spaces available and support cloud infrastructures to assist manufacturers.

Read More: Europe’s Digital Strategy and Manufacturing

Investing in tools scales staff productivity

Businesses with the highest productivity experience more stable and consistent revenue growth, as well as being able to adapt more quickly. With less waste and more staff power focussed on growth, manufacturers with an investment in tooling are more operationally resilient.

Read More: Investing in tools scales staff productivity

We've been selected for Innovate UK Edge

We’re now being supported by Innovate UK through their EDGE initiative to help us scale. We’re looking forward to working with them and learning from what they have to offer.

Read More: We've been selected for Innovate UK Edge

Developer Velocity

Businesses with the highest developer velocity experience the highest revenue growth, according to new research by Microsoft and McKinsey. Read on to understand the factors impacting developer velocity and how you can start building a strategy to improve this vital area of technology in your business.

Read More: Developer Velocity

Funding for AI use cases and much more - AIPlan4EU

At Nightingale HQ we recently submitted our AI use-cases to the AIPlan4EU to potentially develop them further. Find out how you can get yours funded and all about the new European AI on Demand Platform.

Read More: Funding for AI use cases and much more - AIPlan4EU

Manufacturers: Are you digitising or digitalising?

To digitise your business means to perform traditionally analogue processes or actions digitally. Rather than a few changes here and there, digitalisation involves a change in how to the process is performed to better leverage technology.

Read More: Manufacturers: Are you digitising or digitalising?

MLOps is like process engineering for Data Science

The goal of MLOps is to streamline the development, deployment, and operation of machine learning models, by supporting their building, testing, releasing, monitoring, performance tracking, reusing, maintenance and governance, joining the efforts of Data Science and IT teams under a shared focus.

Read More: MLOps is like process engineering for Data Science

Innovation funding with EIC Accelerator

Here at Nightingale HQ, we have put in for funding with the EIC Accelerator. In this article, we’ll tell you what the EIC Accelerator is and why it’s worth applying for.

Read More: Innovation funding with EIC Accelerator

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