Chatbots answer customer visitor questions or requests. While many rely on command-based functions, the better AI chatbots use artificial intelligence, especially NLP (natural language processing), and sentiment analysis.
Occasionally people refer to these bots as AI assistants, conversational interfaces, conversational agents, or even chatterbots.
More than a static budget sheet in Excel, an AI financial planning program helps users set budgets and analyze their spending behavior. With a good ML program, company and personal budgets perform better—faster than via traditional methods.
Artificial intelligence has opened new language acquisition pathways for learners and teachers. These programs allow any learner, anywhere, to receive personalized lesson plans and feedback. When part of a classroom (virtual, physical, or mixed), AI language learning programs help teachers assess student progress.
Algorithmic stock trading—aka "algo-trading"—uses machine learning algorithms to make stock market trades faster than a human could, calculating the best time, price, and amount to trade in an instant.
Sensor-enabled vehicles use an autonomous navigation system to move through the atmosphere or down roads and terrain without direct, continuous human direction. Vehicles that use autonomous navigation systems include robots, spacecraft, ships, airplanes, and cars.
Naturally, there is a lot of overlap between this use case and remote navigation systems.
Companies of all sizes use payroll automation to deliver payments faster while cutting down on errors.
Robotic process automation is a commonly-used term, reflecting the fact that this system takes simple payroll rules and acts on them. However, not all systems are purely robotic; many incorporate machine learning to check for anomalies.