While the idea of Artificial Intelligence, colloquially referred to as AI, broadens its scope by leaps and bounds each day, it remains fundamentally the simulation of humanlike intelligence within machines. As such, they are equipped to learn, reason, problem-solve, and comprehend natural language. AI, in itself, encompasses a multitude of interrelated fields such as deep learning, natural language processing, machine learning, robotics, and computer visioning. These technologies enable automation, data-based decision making, and operational efficiency across several domains including healthcare, finance, education, and even entertainment systems.
Apart from game development and personalized applications, AI tools are being integrated in self-driving vehicles, intelligent robotics, and powerful prediction systems. One of its most prevalent applications is in virtual assistants powered by AI such as Alexa and Siri. With AI algorithms, machines are able to utilize enormous datasets to identify patterns, make predictions, and self-improve. AI systems can be categorized as Narrow AI which focuses on task specific operations and General AI which attempts to replicate human intelligence and is still in research and development. There are still a myriad of ethical, privacy, operational, and employment challenges to tackle before AI adaption further escalates. Nevertheless, one irrefutable fact is that AI will continue to advance and thus transform society and its respective businesses to a great extent.