Introduction To AI Levels
The fourth industrial revolution began with Artificial Intelligence (AI), an era defined and driven by extreme automation and ubiquitous connectivity. The changes brought about by this time frame, like the three previous industrial revolutions, will irreversibly alter the course of our future and how we interact with technology and each other. However, one innovation in this new digital age will be so substantial and seismic that it will upend the Earth’s long-held human-centric status quo – the birth and transcendence of artificial intelligence (AI).
Alan Turing’s 1951 quote has served as a core philosophy for data scientists and business leaders interested in artificial intelligence. AI was merely a concept until recently and a “one-day” conversation brought to life in science-fiction novels and films. The idea of an artificial being with humanlike conscious experience can be linked back to Middle Ages tales of mechanical men and Mary Shelley’s Frankenstein, as well as, more recently, author and scientist Isaac Asimov’s three laws of robotics.
The fourth industrial revolution manifested itself in the twenty-first century, as did the emergence of AI. AI is now a core component of the business models of approximately 2,000 start-ups worldwide. And with news like Google’s AlphaGo defeating the Go world champion or Baidu’s assistant Duer accepting orders at KFC stores in China, the groundwork has been laid for progress to avalanche in the years ahead coming.
AI, short for Artificial Intelligence, is composed of 2 words, Artificial and Intelligence, where Artificial defines something as “machine-made,” and intelligence explains “thinking power”; therefore, AI merely means “a thinking power which is machine-made.” In addition, we talk about the different levels of AI; there are many; let us give you a brief introduction to them:
Narrow AI Level:
An AI is said to be narrow when the machine can perform a particular task better than a human. The current research on AI is here now.
General AI Level:
When an AI or artificial intelligence reaches the general state, it can perform any intellectual task with the same level of accuracy as a human.
Strong AI Level:
An AI is vital when it can beat humans in multiple tasks. Nowadays, AI is used in most industries, giving a technological edge to all companies integrating AI at scale. According to McKinsey, AI can create about 600 billion of value in retail, bringing 50% more incremental value in banking when compared with other analytics techniques. In transport as well as a logistic, the potential revenue jump is 89% more.
In conclusion, if a company or organization uses AI for its marketing team, it can automate mundane and repetitive tasks, allowing the sales representative to concentrate on tasks such as lead nurturing, relationship building, etc. A company name Gong provides a conversation intelligence service. When a Sales Representative calls, the machine records, transcribes, and analyzes the chat. The VP can also use AI analytics and recommendation to formulate a successful winning strategy.
In a nutshell, AI provides cutting-edge technology to deal with complex data which is impossible to handle by a human being. AI automates redundant jobs, thus further allowing workers to concentrate on high-level, value-added tasks. Moreover, when AI is implemented at scale, it results in cost reduction and revenue increase.