AI Use Case

CBAM Explained: The Financial Case for Cutting Scrap

The steel industry faces increasing pressure to decarbonise, with the EU’s Carbon Border Adjustment Mechanism (CBAM) set to become a decisive factor by 2026. Scrap is no longer just a production inefficiency it directly increases reported emissions and carbon costs. For Finance and Sustainability Managers, reducing scrap is now central to meeting carbon targets and protecting margins.

Welsh AI firm launches platform to cut waste and boost UK steel industry

Cardiff-based Nightingale HQ (NHQ), has launched GoSmarter.ai, an AI-powered platform designed to help steel manufacturers to reduce waste, lower carbon emissions, and improve production efficiency.

GoSmarter.ai Launches Rebar Optimiser to Cut Steel Waste and Carbon Emissions

GoSmarter.ai is excited to announce the launch of the Rebar Optimiser, a smart new tool designed to help steel manufacturers and fabricators reduce waste and lower carbon emissions during the rebar cutting process.

Case Study: MillCert Reader saves 10 hours a month for busy Production teams

MillCert Reader is helping steel production teams save hours by automatically extracting key data from mill certificates and renaming documents in seconds

Nightingale HQ delivers on scrap cutting trials with steel manufacturer

{Cardiff, December 2024} – As the steel industry continues to account for nearly one-third of global industrial CO₂ emissions, the imperative for innovative, sustainable production methods has never been greater. Nightingale HQ, a pioneering force in industrial AI, has developed GoSmarter: a cutting-edge, AI-powered toolkit that enables steel manufacturers to dramatically reduce material waste and carbon emissions.

Nightingale HQ supports Green Freight with FLS Logistics

Many industries are becoming more aware of the impacts of their CO2 emissions and are looking for practical ways to reduce this. It’s an area that we have written about previously, where we explore digital tools that can help accelerate greater sustainability.

Advancing Digitalisation in the Midlands

CEO Ruth Kearney to speak at Advanced Technologies Industries & Manufacturing Cluster.

Toolkits for Smart Manufacturing

CEO Ruth Kearney presents ‘Toolkits for Smart Manufacturing’ to the industry cohort taking the ‘Certificate in Leadership in Digitalisation of Manufacturing’.

How AI can improve your logistics fast

Logistics businesses and logistics have a huge opportunity to unlock additional value in their business through the use of data and AI integration. Areas of improvement include streamlining operations, managing the supply chain, pricing dynamically, agile planning, and enhanced forecasting.

Design, manufacture, and ship products more sustainably with AI

AI can help manufacturers design, make, and ship products more sustainably. From lowering waste through defect detection, to generative design to reduce prototype waste, to smart energy management and predictive maintenance, manufacturers can use AI to make a big impact.

How 10 manufacturers are digitally transforming with Microsoft

Here at Nightingale HQ, we’re proud to be Microsoft partners. We use their tech to power our data and AI services. To showcase the impact Microsoft services can have, we’ve collected some of our favourite Microsoft manufacturing success stories.

Chatbots explained

Chatbots are computer programmes that provide a (primarily) text-based interface to help people access information or perform tasks. Chatbot conversations can help you improve customer service whilst reducing demand on staff. They can process text using natural language processing and build a conversational workflow to support a intuitive interaction with people.

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.

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.

Using AI to make your warehouse operations smarter

You can benefit from lower overheads by using AI to manage stock levels, whilst building a more scalable warehouse operation that is safer for employees, using AI.

Detecting defects with AI - a computer vision challenge

With the pace of output on machines ever increasing, quality control becomes a lot tougher. Using AI to detect defective products sooner can help scale your quality processes and avoid significant stops.

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.

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.

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.

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.

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.

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.

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.

How to score your first AI quick wins: Intelligent Insights

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.

Mastering AI in manufacturing: the three levels of competency

Manufacturers have been facing continual pressure to improve their technology base, reduce costs, and improve quality since the Industrial Revolution. Manufacturers are used to change but not every manufacturer can or will embrace it at the same rate. Also, no manufacturer jumps straight to being an expert at the new thing they're needing to adopt. The same goes for Artificial Intelligence (AI) as an emerging change in manufacturing.

Industry IoT, smart factories and AI in manufacturing

The world of manufacturing is on the brink of another revolution due to the Internet of Things (IoT) and Artificial Intelligence (AI) applications. Aside from clear use cases like robotics and automation, big data applications are coming into play, thanks to industrial time series data collected by data historians. Thriving on all this data, AI systems can be built to send early warnings, optimise processes, predict maintenance and enforce quality control. By collecting the right data, manufacturers can get really creative with their AI solutions, and it can set them apart from the competition.

A partnership of Machine Learning and AI with healthcare professionals

Healthcare has always been a data-rich area, but with new technologies for processing and structuring, and new ways of collecting data, such as using sensors, like many other industries, the available data is growing exponentially. Artificial Intelligence (AI) makes it possible to analyse all this data in real-time by combing Machine Learning (ML) and Natural Language Processing (NLP), in order to gain valuable insights.

How to score your first AI quick wins: Social Listening

Marketing is a ripe area for Artificial Intelligence (AI) adoption, with all the data and the insights, but how do you make the jump into the AI pool when you look around and all you see is resistance? Quick win projects are an essential tool for building confidence among your team, particularly when introducing new concepts. That is why Nightingale HQ have created a guide of quick-win projects to help departments and companies ease into AI and build momentum for future, more complex projects. In this edition, we will discuss the benefits of practising social listening and how to pull it off as your first AI win.

How to score your first AI quick wins: Knowledge Worker Productivity

When you choose to introduce Artificial Intelligence (AI) in your organisation or department there can be a lot of resistance and uncertainty, which is why it is important to start small and win fast. By taking on smaller fail-proof projects, you can build up confidence among your team as they begin to see the value of the projects and stop fearing failure and resisting changes. In this project we discuss how to boost knowledge worker productivity, something employees will be able to track themselves and see the true value of. Building momentum in this way will pave the way for greater successes down the line.

Advanced AI techniques in retail that are making their jobs a breeze

Artificial Intelligence (AI) is already beginning to transform several industries, and it continues to divide opinions on whether it will transform our lives for good, for bad, or exaggerate existing divides by benefitting some and neglecting others. One of the areas where AI has been applied with extremely effective results is in retail, both online and off, and is a fine example of why AI can be simultaneously good and evil, highlighting the need for regulation.

Take the hassle out of note-taking with Otter.ai

How much time is spent taking and distributing minutes in your organisation? How often are your staff impacted by miscommunications, forgotten action points and lost meeting notes? All of these losses can be avoided when you use an AI tool to automatically generate searchable transcriptions of your meetings.

How to score your first AI quick wins: Sales AI

Making big changes in your organisation or department such as kick-starting Artificial Intelligence (AI) can be a risky move if things don’t go to plan. Getting your team on board from the start is key to longterm success, which is why it’s so important to have an easy way in, such as one of our quick win AI projects. Not only do quick wins provide immediate value for your company or department, but they help build momentum among your team and change attitudes toward your projects. In this edition, we will discuss how to infuse your sales process with AI for ultimate results.

How to score your first AI quick wins: Accessible meetings

Artificial Intelligence (AI) can come across as a make or break move, perhaps a risky step, particularly if you don’t have disposable resources, which is why it is so important to start with some quick win projects in order to build confidence and momentum within the company. The sure success of a quick win project removes the pressure for following projects where there might be more at stake, but they also bring immediate value to your business.

How to score your first AI quick wins: FAQ chatbots

AIFightsBack webinar Augmenting Customer Service with Chatbots 16 April at 15.00 is now over. Check out our video and slide here

Can AI outperform medical professionals in diagnosis?

Last year the Guardian reported that AI is 'equal to humans in medical diagnoses' when interpreting images, referring to a study published in Lancet Digital Health. The study revealed that AI 'deep learning' systems were able to detect disease 87% of the time and correctly gave the all-clear in 93% of cases (the equivalent success rate in healthcare professionals is 86% and 93%). This means that AI in healthcare is on track to support medical professionals, leading to faster, cheaper diagnoses and drug development. This will allow healthcare professionals to achieve more with their time and help more people.