Very simply, Artificial Intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research is the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success toward a goal.
According to the team at Accenture Technology, AI systems can be self-learning, like bright students who are given educational materials and then learn on their own. As such, computers can do the following:
Consider how a border-control kiosk uses computer vision technology such as facial recognition to glean characteristics of travelers.
Integrated with other technologies such as multispectral image analysis (scanning passports using infrared and ultraviolet light), extensive information databases and matching algorithms, an integrated solution can improve security by identifying people on unauthorized entry lists or others posing a risk.
AI systems also comprehend through technologies such as natural language processing, inference engines, and expert systems.
These technologies have a wide range of applications across multiple industries. For example, a medical diagnostic system can aid doctors in identifying diseases and suggesting treatments.
An AI system acts independently, takes action within a process through technologies such as inference engines and expert systems, or directs action in the physical world.
Consider the driverless car - which senses the environment, understands the myriad of inputs and then steers the car without assistance from a human driver.
High-profile examples of AI already applied in businesses include: creating art, proving mathematical theorems, playing games, search engines, virtual assistants, and image recognition in photographs. Spam filtering, prediction of judicial decisions, and targeting online advertisements are also included in AI applications commonly in use.
Artificial intelligence and true machine learning applications are still being tested, but the results so far are extremely promising. And, while your company may not need or use artificial intelligence now, it’s smart to do your research and stay up-to-date on how artificial intelligence is being used in your industry. Just as your company has a financial plan and general goals set, be realistic about how AI can influence your business. This preparation will pay off when AI implementation is needed.