The main goal for all AI systems and applications that are being implemented is that they all embed the necessary human-like decision-making capabilities within the solution. This is the main reason that AI is being incorporated into so many enterprises, and within almost every industry. We are seeing the rapid adoption of a number of AI-specific technologies that are providing dedicated functionality as well. The article that follows takes a deep dive into many of the use cases being executed upon in some industries, as well as the aforementioned AI-specific technologies and how they actually work.
Artificial intelligence (AI) refers to the simulation of human intelligence in systems programmed to think like humans and mimic their actions. AI includes a broad range of technologies, including cognitive computing, deep learning, expert systems, machine learning, natural language processing, and IBM Watson.
The common thread across these areas, and all of AI, for that matter, is the ability to impart human-like decision-making capabilities into applications and systems. Experts predict AI will be rapidly adopted because they believe it will be a disruptive technology across many industries.
There already are many examples of the impact AI has in a variety of fields, including: