Artificial intelligence (AI) is all about computers conducting themselves like human beings. The sole purpose was to make a never-ending, long lasting connection between the machines and human beings; easing the basic to advanced day-to-day functionalities. Voice recognition, autopilot, self-driving cars, Facebook’s facial recognition, Amazon’s product recommendation and more. All these technologies are highly advanced which is beyond any doubt indispensable to us.Machine learning is a major part of the artificial intelligence as it is deep-dyed into the development of numerous computer programs which can ultimately become independent in procuring structured and unstructured data. GE Power, IBM, Facebook, Google are one of the many A-list companies that are highly dependent on machine learning.
GE Power owned by General Electric Company (GE) uses power maintenance and business operation with the help of machine learning to making it a perfect digital power plant. International Business Machines (IBM) uses Watson, a question-answering computer system based on machine learning, which is deployed in several medical centers for making accurate recommendations in cancer treatments. Facebook uses machine learning in understanding its users’ behavior, interests, workplace, and suggests friends according to these metrics. Google’s machine learning improves the search results according to a user’s query history and behavior.
Artificial Intelligence and Machine Learning: An Opportunity or Threat?
So, it is quite clear that the need of artificial intelligence and machine learning is quite crucial when it comes to creating better opportunities for mankind. We can use them in almost all fields – education and training, health and fitness, banking and finance, e-commerce and training, advertisement and marketing, etc. But the intriguing question is, is artificial intelligence and machine learning an opportunity or a threat? Let’s us look at various opportunities that we can benefit from them.Opportunities of Using Artificial Intelligence and Machine Learning
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- Historical Data
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- Fraud Detection
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- Client Experience