Data Strategy

Data Strategy and Governance

Discover essential resources for building and implementing effective data strategies in your organisation. From data governance frameworks to fostering data literacy, we provide comprehensive guidance on creating a data-driven culture.

Our data strategy content covers critical topics including data governance, data security and privacy, DataOps practices, data platform architecture, and building robust data warehouses. Learn how to establish proper data collection and storage practices, ensure data quality, and implement security measures that protect sensitive information.

Whether you’re developing your first data strategy or maturing existing data capabilities, our resources help you navigate challenges around data culture, literacy, and science. We focus on practical approaches that balance innovation with responsible data management, helping organisations unlock the full value of their data assets through business intelligence, analytics, and effective visualisation.

Social listening for small businesses

Our latest webinar was on social listening. Social listening is monitoring social media for feedback, mentions, or relevant chatter to gain insight or act. The price tag on this capability is at least $150 per month putting it outside the budget of a small business. With #GoSmarter, we're introducing a practically free and highly extendable option for small businesses.

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.

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...

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.

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%.

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.

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.