Watch Taking a Sledgehammer to Bottlenecks 🎥 as Ruth & Steph show how AI actually fixes margins.

Artificial Intelligence

AI for Metals Manufacturing

AI isn’t one thing. It’s a shorthand for a dozen different technologies: machine learning, computer vision, natural language processing, and optimisation algorithms. Each solves a different class of problem.

For metals manufacturers, the most valuable applications are narrow and practical. AI that reads mill certificates in seconds and extracts every heat number, grade, and mechanical property without anyone typing a thing. AI that calculates optimal cut sequences for bar, rebar, and structural sections, cutting scrap by up to 50%. AI that monitors stock levels in real time and flags reorder points before you run short.

None of this requires a data science team or a rip-and-replace ERP project. The best metals AI sits on top of what you already have: your spreadsheets, your email inbox, your existing ERP. It adds intelligence where it counts. You pilot on one product family. You go live in a day. You scale when it works.

Posts here cover practical implementations for metals manufacturers: certificate automation, cutting optimisation, inventory intelligence, and what to expect when you bring AI into a shop that’s been running on Excel and tribal knowledge.

Start with the problem you want to solve. Let the maths do the rest.

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.

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

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.

Read More: Digital Supply Chains and why you need one

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.

Read More: Digital Twins and AI for manufacturers

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!

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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.

Read More: Smart Manufacturing is all about Real-Time Data Analytics

Announcing GoSmarter In A Day

Our GoSmarter In A Day workshops solve one problem like processing Accounts Payable incoming invoices to demonstrate the value such automation can bring.

Read More: Announcing GoSmarter In A Day

European AI Act

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

Read More: European AI Act

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!

Read More: Data Champions are critical to your success in digitally transforming

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