Artificial Intelligence Vs Artificial Intelligence

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Big Data and Artificial Intelligence Introduction The growth of the world is impulsive in all ways, likewise the data. Data size across the world is huge, so technically increase in the data constitute the name Big Data. The time of spread sheet is over, A google search, Passport scan, a barcode reading in supermarket, your online shopping history, An EKG reading, CCTV footage, A photo of a sandwich, a voice message, A tweet, all of this contains data that can be collected, Analysed and Monetised. From the realisation of how to handle huge amount of data, all the co-corporate giant, technical leader are chasing the Big Data to make a huge change in the technological landscape. The normal question arise on every individual mind will be - Is…show more content…
Super computers and algorithms allow us to make sense of increasingly large amount of information in real time. In less than 10 years CPU are expected to reach the processing power of human brain many surveys on future of software and society reveals that intelligent machine will be a part of the human on very nearby future. Since decisions are made on the experience and intuitions decisions made by the intelligent system will be through analysing huge amount of data. Artificial intelligence can be explained as the automation adapted by the machines upon human training in contrast to the natural human intelligence. Consider a situation where vehicle who can think and work much like a human driver, but also analysing other things that make the trip safer faster and more efficient, Analysing vast amount of medical data from different locations and giving proper solution, personal assistant for individuals. All these will be possible only if AI and big data work hand by hand. Big data analysis will reveal patterns and connections that can vastly improve human activities. Using that data Artificial Intelligence we can build automated…show more content…
Because the data type is different and size of the data is huge and complex no traditional systems can store and process data efficiently. Some of the example are New York Stock exchange (NYSE) it generate approximately one Terabyte(TB) data per day, 500+ TB data are produced per day from the social media giant Facebook. Normally data could be in three forms: • Structured: Any data that can be stored, processed and accessed in a particular format is called structured data. example is database like RBMS, Oracle • Unstructured: Data with no particular structure or format is un-structured data like Google search or email with attachment • Semi-Structured: This will hold both types of data, example is personal data stored as XML file, Data from twitter in Json Format Why big data is so popular? It’s because of the characteristics big data is having: • Volume: The name big data itself shows that it can hold huge volume of data. Depending on the volume of data it is categorised as big data or not. So volume play a major
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