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Data Strategy

Data Strategy for Metals Manufacturers

Your factory produces data constantly. Shift reports, inspection results, order histories, material certifications, supplier records. Most of it is scattered across spreadsheets, email inboxes, and filing cabinets.

A data strategy is the plan for changing that. It covers what data you collect, where you store it, who can access it, and how you use it to make better decisions.

For metals manufacturers, the priorities are clear:

  • Data governance: who owns each data type, and who is allowed to change it
  • Data quality: are your material records accurate, complete, and traceable?
  • Data security and privacy: protecting customer order data and supplier certifications
  • Business intelligence: turning production records into dashboards that help you manage
  • DataOps: keeping your data pipelines working when systems change

You do not need a data science team to start. You need a clear picture of what data you already have and what decisions you wish you could make faster. Start there.

For metals manufacturers considering new software: your data stays yours. GoSmarter is EU-hosted and compliant with the General Data Protection Regulation (GDPR), your records are exportable as CSV at any time, and there are no exit fees. The data-strategy questions worth asking before any new system: where does my data live, what happens to it when I leave, and does the vendor make it easy to find out? Those should have clear, written answers before you sign anything.

Posts in this section cover governance frameworks, data platform choices, and the practical steps that turn scattered records into a working system.

The Jazz Ensemble of Data Science with Novartis

Everyone is an expert and each one is allowed to do their own part separately but when we come together the magic happens. The team lead, along with Math and Stats person, the Data Visualisation, Storytelling team and domain experts all work in unison. This according to Ashwini Mathur, Head of Data Science at the Novartis AI Innovation Hub in Dublin is essential to delivering great data science.

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Why Trustworthy AI Matters with Clare Dillon

Guest contributor on AIFightsBack last week was Technologist Clare Dillon. She presented A Journey to Trustworthy AI from an economic, social, political, and cultural lens. This thought-provoking session demonstrated clearly why we all need to build trust in both building and buying AI solutions. It was backed up nicely with plenty of use cases and several major AI bloopers out there.

Read More: Why Trustworthy AI Matters with Clare Dillon

Understanding the techniques behind AI in manufacturing

It’s no secret that the disruption of Industry 4.0 and the challenges presented by Covid-19 have been a push for manufacturers to evaluate digital transformation and consider going smart with AI in their factories. This article, adapted from the webinar shared below, is aimed at manufacturers who are interested in the techniques, data infrastructure and processes needed to support building internal data science & AI intellectual property.

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The Historian and AI Webinar (AIFightsBack)

AI for manufacturing has huge potential. As well as clear AI use cases like robotics and automation, the wealth of data being consolidated into industrial time series via historian appliances presents an opportunity for further AI applications. Using the data being consolidated, we can build early warning systems for critical issues, optimise maintenance programs, and improve processes.

Read More: The Historian and AI Webinar (AIFightsBack)

Artificial Intelligence for Marketers

Yesterday, we delivered the AI for Marketers webinar as part of our AIFightsBack series. Here, you will find the resources (slides, recording, information, and links) from the talk. As a sector, marketing is ripe for AI adoption due to the volume of data insights available. It's transforming how companies market their products and services to other businesses, streamlining processes at all levels of the sales funnel. Broadly speaking, AI can help to improve the customer journey and improve your ROI on campaigns. But how exactly?

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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.

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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.

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Teaming up with Irish Centre for Business Excellence Network (ICBE)

We are delighted to team up with Irish Centre for Business Excellence Network (ICBE) Advanced Productivity Skillnet to bring three webinars on AI in Manufacturing as part of the AIFightsBack series.

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Nightingale HQ team up with ICBE

Nightingale HQ team up with Irish Centre for Business Excellence Network (ICBE) Advanced Productivity Skillnet to bring three webinars on AI in Manufacturing as part of the AIFightsBack series.

Read More: Nightingale HQ team up with ICBE

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