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

Digital Transformation

Digital Transformation on the Shop Floor

Digital transformation is not a project. It is a series of decisions about which parts of your operation to stop doing manually.

For metals manufacturers, that usually starts with paperwork. Mill certificates filed in folders. Production schedules in spreadsheets. Inspection records that nobody can find when an auditor arrives. These are not IT problems. They are business problems with digital solutions.

Industry 4.0 (I4.0) is the shorthand for connected, data-driven manufacturing. Internet of Things (IoT) sensors feed live data from your machines to systems that can act on it. A cutting machine that knows its blade is drifting can flag the problem before the next batch becomes scrap.

The practical entry points for most metals manufacturers are:

  • Automating document-heavy processes: certificates, purchase orders, delivery notes
  • Connecting shop floor machines to central monitoring systems
  • Replacing paper-based inspection records with digital workflows
  • Linking inventory systems to production schedules so you stop running short

The manufacturers who do this fastest aren’t the ones with the biggest budgets. They start with one process, usually certificates or cut planning. They get it working in a week, then show the rest of the team a result. GoSmarter is built for exactly that pattern: live in a day from a CSV upload, piloting on one product family, scaling when you’ve seen it work.

Posts in this section cover the technologies, the case studies, and the change management realities. Including the parts that are harder than the vendors let on.

TechRound Feature

Many SMEs like ourselves are having to look at new ways to do more by using automation tools to streamline and increase productivity. There are 5.8 million SMEs in the UK impacted by COVID and one of the major positives that the global pandemic has brought about is an accelerated level of digital transformation and automation to business. There is a much greater emphasis on adopting AI and automation tools to help them scale, innovate and become more agile.

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Smarter remote meetings for productivity

For the penultimate session in our #GoSmarter webinar series, Data Science Apprentice Mia Hatton takes us through various tools for hosting online meetings, lessons and the like, which has become so much more relevant during the times of the pandemic. Our very own Productive Meetings tool is one of six automation tools that we are making available to SMEs through our GoSmarter project to support them through COVID-19.

Read More: Smarter remote meetings for productivity

Automation: The fundamentals

GoSmarter is an AI-powered tools and training support toolkit to help businesses optimise digital operations, saving precious time and helping increase productivity.

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7 reasons why SMEs need to automate and how

Going digital and using automation has never been more important to small businesses than it has been since COVID-19. Here's some stats you may not know...

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5.6million UK SMEs - listen up and automate!

This week on AIFightsBack, Steph Locke, CEO of Nightingale HQ, talked about the new GoSmarter automation toolbox, funded by Innovate UK and free for SMEs to use.

Read More: 5.6million UK SMEs - listen up and automate!

Social distancing - data versus information

Guest contributor on AIFightsBack last week was CEO of Mockingbird Consulting Matthew Macdonald-Wallace. Matt shared how the impact of COVID has produced opportunities that have taken them beyond their current client base of farming and AgriTech to include commercial and industrial sectors. He gave examples of IoT solution applications in customer flows for retail, ordering systems for restaurants and preventive maintenance in farms.

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TheĀ Jazz EnsembleĀ 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.

Read More: TheĀ Jazz EnsembleĀ of Data Science with Novartis

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)

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)