Applied Data Science: Practical Solutions for Real-World Challenges

by James Hilliam

Data science plays a vital role in Defence and public sector operations, but effective application requires choosing the right techniques for the right problems. This article explores the distinction between data science and applied data science, offering real-world case studies where automation, semantic search, deep learning, and tailored AI models have improved efficiency and decision-making.

The article also addresses common challenges in data science adoption, such as security constraints, hardware limitations, and evolving stakeholder requirements. By taking a problem-first approach, organisations can maximise the impact of data-driven insights while ensuring practical and operational success.

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