Future Scope of Artificial Intelligence


Artificial Intelligence(AI) is the simulation of human intelligence by machines. In other words, it is the method of machines demonstrating certain aspects of human intelligence like self- correction and  learning and reasoning. Of  its inception, AI has demonstrated unprecedented growth. Sophia the AI Robot, is the quintessential example of this. The future of Artificial intelligence is hazy. But by  going the bounds of progress, AI is being making, it is clear that AI will permeate every sphere of your life. Listed below are the diverse ways in which AI can change in the future.

Cyber Security
The future application of AI in cyber security is to ensure in curbing hackers. The one of  incidence of cybercrime is an issue that has been escalating through out the years. It costs enterprises in term of brand image as well as material cost. Credit card fraud is one of the most prevalent cybercrimes. Despite there are many detection techniques, they still prove to be ineffective in curbing hackers. AI can bring a remarkable changes to this. Novel AI techniques like Recurrent Neural Networks can detect frauds in the  initial stages itself. This fraud detection system will be able to scan thousands of transactions instantly and classify them into buckets. RNN can save a lot of time as it focuses on cases when there is a high probability for fraud.

Face Recognition
The launch of iPhone x with face recognition feature stepped  towards AI future. In the up coming years, iPhone users might be unlock their phones by looking into the front camera. Authenticating personal content is not the only way of use for facial recognition. And one more feature is that Governments and security forces make use of this feature for tracking the criminals and identify citizens. In the coming future, facial recognition can go beyond physical structure for analysis of emotional. For an example, it might become possible to detect whether a person is stressed or angry in mood.

Data Analysis
One of the ways of AI is to benefit business in the field of Data Analysis. AI can be able to perceive patterns in data that humans cannot do. This enables the business  to target the right customers for the product. An example for  this is the partnership between IBM and Fluid. Fluid, a digital retail company uses Watson and the other an AI created by IBM for insightful product recommendation to its customers.

Transport
AI guides the  transport as no longer be confined to the pages of science-fiction literature. Self- driving cars have already been populated the market, however, a driver is required at the wheels for safety purposes. Google, Uber and General Motors are trying to establish themselves at the top in this market, as it will not be long before driverless vehicles become a reality. Machine Learning will be crucial in ensuring that the Automated Vehicles can operate smoothly and efficiently.

Various Jobs
The application of machine learning is Robotic Process Automation  to automate rule-based tasks. It will be helping  people to focus on the critical aspects of their job while leaving the routine aspects to machines. Automation ranges from data entry to complete process automation. The AI is also expected to reach blanket jobs that are risky or health-hazardous like welding and bomb diffusion.
Emotion Bots
Technology  has been advanced in terms of Emotional Quotient. Virtual assistants Siri, Cortana & Alexa show how the extent to which AI comprehends human language. They can able to understand the meaning from context and can able to  make intelligent judgments. Back in 2015, a companion robot called, ‘Pepper’ went on the sale. All those  initial 1000 units were sold within a minute. Overall by  considering all these, the possibility of emotional bots might become a reality in the upcoming future.

Marketing & Advertising
The application of AI in sales and marketing seems a definite, by considering the fact that marketing professionals leaves no stone unturned to benefit their business. AI can be  increased the efficiency of sales and marketing organizations. The focus will be only on  improving conversion rates and sales. Knowledge of customers ,Personalised advertising and their behavior gleamed through facial recognition can generate more revenue.

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