Artificial Intelligence (AI) has been in the minds of the writers of fiction, scientists, and futurists for a long time. The term was coined in the 1960s, at the time when neuroscientists discovered that the human brain’s activity is an essential electrical component. It led them to conclude that if computers became as sophisticated and advanced as the human brain, computers would be able to do everything that the human brain can do.
- Machine Learning helps create models for analysis and reveals patterns hidden in data without being taught to look for something specific or draw a certain conclusion.
- Neural networks are the brain’s interconnected neurons. They transmit information to different units to find connections and gain value from the data.
- Deep-learning techniques use massive neural networks and lots of computing power to detect complex patterns in data to applications such as image and speech recognition.
- As SAS describes it, “Cognitive computing” is all about enabling users to provide the “natural human-like, human-like feeling,” as SAS puts it. This means having the ability to understand speech and respond to it.
- Computer vision utilizes patterns and deep learning to understand the meaning of video and images, enabling machines to use live images in real-time to comprehend the significance of the surrounding surroundings.
- The natural processing process of language requires studying and understanding the human language and then reacting to it.
The lofty ambitions and technology behind them grew gradually over the past half-century, up to 2010, when the initial versions of a real AI system were made. As the computing power grew rapidly (measured through Moore’s Law) and the concept of Big Data processing and storage became an actuality, the technology needed for the real AI and its necessity became apparent.
Conclusion
Artificial Intelligence means to the digital age what electricity has been to humanity during the last century. The power of disruption is amazing. We are moving towards an economic environment in which digital products become ever more sophisticated to provide recommendations, offer choices, and aid consumers in making the right choices. The most difficult task for us is managing all of these changes and coping with evolution in organizational structure.
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