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Agricultural AI Market report is a comprehensive study providing a detailed analysis of the agricultural AI market. The report defines the type of agricultural AI along with its application in various industry verticals with reference to various regions and major countries. Further, the study has identified and studied all the major players operating in the global agricultural AI market space and equated based on various parameters such as market revenue, annual sales volume, historical growth rate, and business strategies. Based on all these insights, the global agricultural AI market report recommends a business strategy for the current market participants to strengthen their market positions. Moreover, the report also suggests a market entry strategy for the new market entrants.

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.

Did you know that AI is expected to create 2.3 million jobs related to machine learning by the year 2020? Machine learning is a growing market for every stakeholder in the computer science and IT industry. Be it businesses, customers, or employees, everybody will benefit from the advent of machine learning and solutions powered by it. Of course, employees or students in last year of college will also see a whole new world of job opportunities in the machine learning field.

Now, we already use these technologies in our day-to-day lives. Think of Alexa, Google Home, and Siri. All these personal assistants are developed using the concepts of artificial intelligence and machine learning. While these are still extreme examples of months of hard work, we have simpler implementations of AI and ML too. Amazon's recommendation bar, for instance. Based on your buying patterns and recent searches, Amazon creates a recommended list for you to find what you are looking for sooner than later.