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While this is a utopian perspective of the future of AI, let's consider another example - an AI-enabled self-driving car runs over a woman trying to cross the road, claiming her life. Although the driver is in the car, AI was in full control. In this scenario, who is to be held responsible for the death of the woman? The manufacturers of the onboard sensory equipment; Designer of the AI system or the person behind the wheel! AI allows machines to 'learn' from data and make decisions, without being explicitly programmed.

Today, data is the bread and butter of the IT world. We feed the huge amounts of data to the analytics tool and expect information and insights in return. These insights and information help us take business decisions and predict future outcomes of several new processes, products, and procedures.

However, before we dive in a little deeper, let's clear any doubts that you may have about the demand in this field. Research by Forrester says that companies utilize only 12 percent of available data. Humongous amounts of data flow into organizations every data. This data comes from several sources such as digital media, social networking platforms, e-commerce websites, etc. But, most of this data is unstructured, hence, not utilized.