AI

Artificial Intelligence

AI

Artificial Intelligence AI can have multiple definitions, one of them is the ability of computers or computer-controlled robots to perform tasks commonly associated with intelligent beings like learning and problem solving. The scope of AI is disputed: as machines become increasingly capable and AI advances, tasks considered as requiring “intelligence” are often removed from the definition.

INTELLIGENCE THAT SEEMS NATURAL

There are many ways to categorize AI, one of them is weak AI and strong AI. The first is when a computer or system is designed and/or trained to solve a particular task while the second is an AI system with generalized human cognitive abilities so that when presented with an unfamiliar task, it has enough intelligence to find a solution.
While weak AI may outperform humans at whatever its specific task is, like playing chess or solving equations, strong AI would outperform humans at nearly every cognitive task. However, strong AI is at least decades away.

Some examples of AI technology include:

Robotic process automation, where robots can adapt to changing circumstances.

Machine learning, getting computers to act, fail and learn from errors.

Machine vision, enabling machines to capture and analyze visual information.

Natural language processing, where machines can understand human text and voice.

EXPANDING TO MRP II

With the use of AI, we can help you to:

  • Robotic process automation, where tasks are not completely repetitive without downtimes to reprogram robots.

Create chatbots to answer the most common questions from your customers. Predict problems in your production lines before they are apparent.

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