The rapid evolution of technology has transformed numerous aspects of our lives, and indoor location tracking is no exception. Once limited to rudimentary applications, this innovative field has blossomed into a sophisticated system integral to various industries. From retail to healthcare, the advances in indoor location tracking have revolutionized how businesses operate and enhance user experiences. This article explores the latest technological developments in indoor location tracking, highlighting the role of Bluetooth beacons, Wi-Fi positioning, and Ultra-Wideband (UWB) technology.

Whether a defence force is involved in disaster relief, domestic security, or active combat, efficiency is necessary to offset risk and guarantee success in the field. In recent decades, defence organisations have been following the lead of digitally transformed civilian agencies and businesses in managing their resources, leading to remarkable efficiency gains.

Machine Learning Operations (MLOps) is a methodology that combines machine learning (ML) with the principles of DevOps to streamline the development, deployment, and management of ML models. It addresses the unique challenges associated with operationalising ML, such as model versioning, reproducibility, and scalability.