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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.

No code. No data. No servers. How Marino Software became a ML company.

Marino Software are one of the longest standing software consultancies in Ireland with almost 20 years under their belt they have seen their fair share of ups and downs. As part of our AIFightsBack webinar series CEO Keith Davey talks candidly about how they have morphed into a machine learning company helping their clients deliver exceptional customer experience. They have a pretty impressive list of clients who are testament to this service and it includes telcos, banks and retailers. Both slides and the webinar are available below.

Read More: No code. No data. No servers. How Marino Software became a ML company.

AI in Manufacturing (presentation, video, and quick guide)

Yesterday, we ran our first AI in Manufacturing webinar, in association with the Irish Centre of Business Excellence. You can grab the slides, read up on the topic, and/or watch the webinar below.

Read More: AI in Manufacturing (presentation, video, and quick guide)

Augmenting Customer Services with Chatbots

Last week we kicked off our AIFightsBack series to help businesses understand how AI can be used to support a safe and productive business during COVD-19 and beyond. The slides and video are now available.

Read More: Augmenting Customer Services with Chatbots

Low ROI from AI is a people problem, not a tech problem

The top blockers to effective AI use in businesses aren't technical issues. They're people problems.

Read More: Low ROI from AI is a people problem, not a tech problem

How to use Azure Cognitive Services to make voiceovers for your videos

In this post, we take you through how to use Microsoft's Cognitive Services to generate voiceovers for your videos. In practice, this technique for generating speech from text can be used in a wide range tasks but one of the ways we're using it at Nightingale HQ is to support our marketing team.

Read More: How to use Azure Cognitive Services to make voiceovers for your videos

AI Winters and hype

This is not the first time AI has been all the rage in the business world. In particular, AI was big in the eighties with solutions called expert systems. Will AI be a passing fad now?

Read More: AI Winters and hype

How IoT technology can be used to improve UK public transport

There is no shortage of possible applications when it comes to Artificial Intelligence (AI) in the public sector, but while the UK government is investing heavily in AI in the private sector, what are they actually doing to implement it themselves? Some fear that governments using AI will result in a dystopian future of constant surveillance, but in reality, public sector applications of AI are far more pragmatic.

Read More: How IoT technology can be used to improve UK public transport

DataOps for everyone at #DataOpticon

If there’s one thing that our CEO Steph Locke is passionate about, it’s data. Getting businesses’ data AI-ready, sharing knowledge around data skills and processes, and generally empowering people through data. Back in September 2019, Steph hosted the first ever DataOpticon in London, with a simple goal: to help people who work with data do it better.

Read More: DataOps for everyone at #DataOpticon

Sealing the gap in education poverty with AI & EdTech

Could education be the industry that has seen the least change over the years? While we’ve seen big changes in the accessibility of education, there is still a long way to go, and as pointed out by The World Bank, being in school is not the same as learning. Often pupils are unengaged, teachers are failing to hold everyone’s attention in class, and drop out rates and grades are proving that the one-size-fits-all approach to learning is outdated.

Read More: Sealing the gap in education poverty with AI & EdTech

The AI Hierarchy of Needs meets the Minimum Viable Product

Two of my favourite pyramids are the Data Science Hierarchy of Needs and the Minimum Viable Product. Combining them helps us build effective artificial intelligence (AI) proof of concepts in businesses. It also supports building AI competency at the same time as demonstrating Return on Investment (ROI).

Read More: The AI Hierarchy of Needs meets the Minimum Viable Product

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