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Digital Transformation

Digital Transformation on the Shop Floor

Digital transformation is not a project. It is a series of decisions about which parts of your operation to stop doing manually.

For metals manufacturers, that usually starts with paperwork. Mill certificates filed in folders. Production schedules in spreadsheets. Inspection records that nobody can find when an auditor arrives. These are not IT problems. They are business problems with digital solutions.

Industry 4.0 (I4.0) is the shorthand for connected, data-driven manufacturing. Internet of Things (IoT) sensors feed live data from your machines to systems that can act on it. A cutting machine that knows its blade is drifting can flag the problem before the next batch becomes scrap.

The practical entry points for most metals manufacturers are:

  • Automating document-heavy processes: certificates, purchase orders, delivery notes
  • Connecting shop floor machines to central monitoring systems
  • Replacing paper-based inspection records with digital workflows
  • Linking inventory systems to production schedules so you stop running short

The manufacturers who do this fastest aren’t the ones with the biggest budgets. They start with one process, usually certificates or cut planning. They get it working in a week, then show the rest of the team a result. GoSmarter is built for exactly that pattern: live in a day from a CSV upload, piloting on one product family, scaling when you’ve seen it work.

Posts in this section cover the technologies, the case studies, and the change management realities. Including the parts that are harder than the vendors let on.

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.

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Europe's '2030 Digital Compass' and manufacturing

The 2030 Digital Compass aims to digitally transform Europe by the end of the decade. It aims to strengthen digital infrastructure and facilitate digital transformation of businesses and the public sector. At its core will be a framework that allows businesses and services to go digital in keeping with European values.

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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.

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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.

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Chatbots explained

Chatbots are computer programmes that provide a (primarily) text-based interface to help people access information or perform tasks. Chatbot conversations can help you improve customer service whilst reducing demand on staff. They can process text using natural language processing and build a conversational workflow to support a intuitive interaction with people.

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Tools matter for 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 how tools impact developer velocity and what the business case is for investing in them.

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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.

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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.

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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.

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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.

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