In this paper, Jim Fox CISM and Neil E Wiles discuss the use of data analysis to improve training quality and efficiency, highlighting the strategic significance of data, its modern collection methods, and the maximisation of its utility.
The paper highlights the benefits of task synchronisation and resource optimisation in multi-role, multi-site training and emphasises the necessity of continuous improvement in data policies, standards, and architectures to enhance training and simulation. The paper also discusses the importance of linking training and operational data, managing persistent and human performance data, and exploiting physiological biometrics data.
Its conclusion suggests adopting common data standards, protocols, and architectures, and implementing clear policies and guidelines. While exploiting training and operational data can provide an operational advantage, it’s crucial to protect the rights and interests of military forces and stakeholders. This includes data minimisation, encryption, authentication, auditing, backup, governance, and education, along with the ethical use of data management and analytics.
We look at why trust, not technology, now shapes AI adoption in public services and how responsible implementation can improve outcomes for citizens.
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This article shares CX lessons from Capita's South Africa teams about building CX that is human-first, regionally inclusive, and consistently high-performing.
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How public sector organisations can embed AI safely into live services, strengthening trust, governance and outcomes for citizens.
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