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GoSmarter AI Blog

About this Section

About this Section

The GoSmarter blog covers AI and digital transformation from a metals manufacturing perspective. Practical use cases, implementation guides, industry strategy, and plain-English takes on the tech that actually matters on the shop floor.

No fluff. No thought-leadership waffle dressed up as insight. Just practical articles written for people who run metal cutting, distribution, and processing operations.

Topics covered include mill certificate automation, rebar cutting optimisation, scrap rate reduction, EN 10204 compliance, inventory management for steel stockholders, and the practical realities of replacing spreadsheets with AI-powered workflows. The blog also covers industry news relevant to UK and European metals manufacturers — tariffs, standards changes, and technology developments that affect your margins.

Articles are written for production managers, quality managers, operations directors, and business owners in metals manufacturing. Each post focuses on a specific, solvable problem: how to reduce scrap on a saw line, how to stop losing mill certificates, how to automate the cert-to-stock link without an IT project.

For deeper, structured guides on specific topics, see the GoSmarter hub pages — pillar content covering cutting optimisation, mill cert automation, yield tracking, and more.

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.

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.

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.

Digital Supply Chains and why you need one

Adopting a Digital Supply Chain is big step towards achieving bigger goals like faster, more precise processes with visibility for the whole company. Digital Supply Chains can be hard to implement, but having a strategy is key. Most manufacturers already have some sort of data from ERP systems so building a Digital Supply Chain can begin with embracing more digital integrations with the ERP system and improving governance of the platform. It is very important to ensure that the implementation of a Digital Supply Chain is taken as seriously as other core business processes.

Digital Twins and AI for manufacturers

Digital Twins are virtual replicas of real-world systems enabling low-cost modelling of the factory floor to help optimise processes. Combined with AI the Digital Twin can support improved forecasting, dynamic optimisation, and more.

Microsoft Build 2021 announcements for manufacturers

Microsoft Build 2021 is kicking off and whilst it tends not to be as announcement heavy as Microsoft Ignite, it’s still got some great things for manufacturers to pay attention to. This post gives a quick run down of the most important stuff you need to read about. Enjoy!

Smart Manufacturing is all about Real-Time Data Analytics

Manufacturers are spending far too much time on data entry or looking at stale data which is hindering growth. Here are seven ways real-time data can turn things around.

European AI Act

The European Commission proposes new rules and actions aiming to turn Europe into the global hub for trustworthy Artificial Intelligence (AI).

Data Champions are critical to your success in digitally transforming

Manufacturers need Data Champions to help them succeed in today’s digital world. To learn more about how you can find your Data Champion for your team or company, read on!

Reports supported by AI & automation

Data compilation for reports created by experts is usually more time consuming than writing the valuable content. Using AI and no-code automation techniques, data collation and visualisation can be greatly streamlined, letting staff focus on the value.

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