Forcelink News And Research 

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 criti

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

ANI is the broad concept that encompasses numerous subfields such as, machine learning (ML), deep learning (DL), and neural networks. ML learns patterns from data, while DL leverages deep neural networks for intricate pattern recognition.