Research & Innovation

Research and Industry Insights

Explore our collection of research-based content, industry studies, and evidence-backed insights on AI, technology, and business transformation. We bridge the gap between academic research and practical application, making complex findings accessible and actionable.

Our research content includes analysis of emerging trends, industry reports, case study findings, and expert perspectives on technology adoption and innovation. Learn from data-driven insights that inform strategic decision-making.

Whether you’re exploring new technologies, validating approaches, or staying informed about industry developments, our research resources provide the depth and rigour needed to make confident decisions. We focus on translating research findings into practical business value.

2020 - the year of Contact Tracing Apps

Guest contributor on our AIFightsBack webinar series was Dr. Iain Keaney, Data Scientist and Founder of Skellig.ai. Iain took on the world of contact tracing apps and discussed how both governments and companies are fighting the pandemic while mitigating the risk to personal privacy. He pointed to the adoption levels of different countries with China having the largest-scale adoption of contact tracing apps in the world and Iceland next at 40%.

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.

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.

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.

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?

What is Python?

Python is a popular programming language with a wide variety of applications including data science, web development, scientific computing, and software development.

What is Google Cloud?

Google Cloud is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. It provides pay-as-you-go access to vast data storage and computing capabilities and allows you to scale the costs as you grow.

What is Azure?

Microsoft Azure is an ever-expanding set of cloud services to help your organisation meet your business challenges. It’s the freedom to build, manage and deploy applications on a massive, global network using your favourite tools and frameworks.

What is Jupyter?

Jupyter is a suite of products that support data science and scientific computing, including Jupyter Notebook, JupyterHub and JupyterLab. It is 100% open-source software, free for all to use and released under the liberal terms of the modified BSD license.

What are Azure Cognitive Services?

Azure Cognitive Services is a comprehensive family of AI services and cognitive APIs to help you build intelligent apps. Cognitive Services bring AI within reach of every developer – without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand and accelerate decision-making into your apps.