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GoSmarter AI Blog

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.

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How to move your operations to the cloud - what you need to know

How to move your operations to the cloud - what you need to know

You’ve probably heard of the cloud but what is it and how can it help your business? Learn how moving to the cloud can help you innovate and stay ahead of the curve when it comes to tech.

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Tools matter for Developer Velocity

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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Funding for AI use cases and much more - AIPlan4EU

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.

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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

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

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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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.

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Digital Twins and AI for manufacturers

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.

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Microsoft Build 2021 announcements 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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