Exploring Data Strategy at the Cutting Edge with Lynne Bailey
Databricks’ Lead Data Strategist Lynne Bailey discusses how organisations can harness cloud technology, AI, and strong data culture to turn complex data into meaningful business insight.
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Data & Analytics
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Unlocking the Power of AI: Unstructured Data and the Future of Data Leadership
Glen McCracken, Head of Data Analytics and Automation at ION Analytics, shares his perspective on AI, data integration, and the changing nature of leadership in a technology-driven world.
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Data Leadership Series: Peter Jackson, the Godfather of Data Strategy?
Peter Jackson has spent his career bringing clarity to complexity. From early web development to AI-driven insight at national scale, his work reflects the evolution of data itself. Now, as Chief Data and Technology Officer at Outra, he focuses on a simple challenge: turning vast amounts of information into decisions that actually matter.
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A Comprehensive Guide to Data Transformation with Gareth Powell, Prominent Data & Analytics Leader
Digital transformation is reshaping how organisations manage and use data. Gareth Powell, Group Data Officer & Partner at Irwin Mitchell, shares insights on building effective data strategies, harnessing AI, and why strong data engineering foundations are essential for successful transformation.
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Behind the Scenes: How Data is Shaping the Entertainment Industry
Across the entertainment industry, data is beginning to play a powerful new role alongside creativity, transforming how content is produced, distributed, and experienced.
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Exploring a Career in MLOps
Machine Learning Operations, or MLOps, is an emerging term in the tech world that is leaving both industry veterans and fresh tech enthusiasts intrigued. As a merger of Machine Learning (ML), DevOps, and data engineering, MLOps is a practice that is giving wings to tech innovation, transforming them into practical, applicable solutions.
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Scrutinising Cloud Data Infrastructure Costs: A Guide for Data Teams
Managing cloud data infrastructure costs can be complex and challenging for data teams. Various factors influence expenses, including cloud service provider selection, resource utilisation, data transfer and bandwidth, scalability and performance, security and compliance, and more. Especially now, with economic uncertainty on the horizon, budgets are tightening, and cloud costs will be put under a microscope.
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The Future of Data Engineering
The data landscape is continuously evolving, with data engineering playing a crucial role in shaping the future of data-driven organisations. As the volume and complexity of data grow, data engineering teams face new challenges and opportunities to refine data infrastructure, workflows, and processes.
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Why is Data Important for your Business?
Gathering data to analyse an organisation and its customers has become an integral part of running a business.
