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.

Topics covered

Mill certificates and compliance stop chasing PDFs and test reports
Cutting optimisation AI cut lists that actually reduce scrap
Inventory management real-time visibility beyond spreadsheets
Digital transformation modernise without an 18-month ERP project
AI for manufacturing SMEs practical AI without an IT department

Browse by category

Archived Content 127 posts
Blog and Articles 120 posts
Case Studies 15 posts
Free Tools 5 posts
Tutorials & Learning 43 posts
News & Updates 90 posts

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

Steph Locke
Learning , Archive
Apr 24, 2020
Updated Mar 4, 2026

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.

Augmenting Customer Services with Chatbots

Steph Locke
Archive , Learning
Apr 20, 2020
Updated Mar 6, 2026

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.

Steph Locke
Archive , Blog
Mar 12, 2020
Updated Mar 4, 2026

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

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

Mia Hatton
Archive
Mar 10, 2020
Updated Mar 4, 2026

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.

AI Winters and hype

Steph Locke
Archive , Blog
Feb 26, 2020
Updated Mar 4, 2026

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?

How IoT technology can be used to improve UK public transport

Steph Organ
Archive
Feb 25, 2020
Updated Mar 4, 2026

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.

DataOps for everyone at #DataOpticon

Steph Organ
Archive
Feb 17, 2020
Updated Mar 4, 2026

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.

Sealing the gap in education poverty with AI & EdTech

Steph Organ
Archive
Feb 13, 2020
Updated Mar 4, 2026

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.

The AI Hierarchy of Needs meets the Minimum Viable Product

Steph Locke
Archive , Blog
Feb 10, 2020
Updated Mar 4, 2026

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).

How to score your first AI quick wins: Intelligent Insights

Steph Organ
Archive
Feb 4, 2020
Updated Mar 4, 2026

There’s no doubt that going ahead with Artificial Intelligence (AI) can be risky. We’ve seen numerous AI fails from major companies including IBM, Amazon and Microsoft which landed them in hot water, something big companies can often bounce back from, but could be more of a problem for the smaller players. The trick to getting started with AI is to start small, which is where our quick win AI projects come into play.

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