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AI remains a prevalent subject across all industries, with many organisations trying to determine how best to apply it within their businesses. Field Service Management is no different, with increasing focus on capabilities such as predictive maintenance and smart scheduling, both of which promise to shift operations from reactive to proactive.

AI has significantly impacted the cybersecurity landscape - on the one hand empowering organisations with advanced tools to detect and prevent attacks, and on the other equipping malicious actors with the means to launch increasingly complex threats.

This article discusses What to expect in Work Management and Field Service Management by 2045

Artificial Intelligence (AI) is a broad field of computer science that aims to create machines or systems that can perform tasks that typically require human intelligence. Early Concepts and Foundations (1940s - 1950s) The idea of “thinking machines” had been a subject of speculation accelerated by the technological developments during WWII. At the beginning of 1950s, the theoretical underpinnings of AI began to form. Pioneers like John Von Neumann and Alan Turing transformed

This post explains ERP Solutions Through the Ages, from early foundations to the 2020s

AI is having a profound impact on society and the economy. It is reshaping our methods of work, communication, and interaction with technology. The landscape of field operations is becoming increasingly competitive, and the strive to optimise operations is pushing SaaS providers to stay at the forefront of AI integration, as they anticipate increased market demand for quicker, more optimised, and accessible work management solutions for various industries.   Traditional servi

Recent strides in the automation of many business processes and operations have been achieved through the implementation of software robotics, or Robotic Process Automation (RPA). RPA is robotics software (often referred to as “bots”) concerned with automating routine, rule-based tasks that do not require understanding or interpretation of data. A bot follows scripts or workflows to perform tasks that would otherwise be performed manually by a human, whereas AI involves learn

Work Management in the context of organisations with geographically dispersed resources, assets, and customers (Field Services) - such as power utilities, water utilities, transport, road works, and delivery services, as well as individual service providers like plumbers and electricians - entails a set of practices and technologies designed to optimise the coordination, execution, and monitoring of tasks across various locations. For these entities, Work Management is critic

Artificial Intelligence (AI) is a broad field of computer science that aims to create machines or systems that can perform tasks that typically require human intelligence. With extensive research and experimentation being done into deep learning and significant developments in Generative AI, AI is now becoming an integral part of many industries. Advancements in Large Language Models (LLMs) and Natural Language Processing (NLP), autonomous systems, and more personalised AI ar

Big Data, in a sense, is the next evolutionary step in technological form. Big data is considered a management revolution in business. It allows for greater measurements, and more precise business management. The big data movement, like analytics before it, seeks to glean specified intelligence from data and translate that into business advantage. The greatest difference that big data introduces is in the name, volume. As of 2012, roughly 2.5 exabytes (approximately 2.5 milli