Artificial Intelligence has always been an inspiring technology aspect for nerds attempting to sophisticate life. Their persistent efforts have resulted into the development of umpteen tools, machines, and software that make complicated things easier. An essential fuel to develop such efficient machines using AI is data. Notably, with the emergence of Big Data on a global platter, the artificial intelligence has witnessed a wide scope in various verticals, like healthcare, marketing, education, and more. Here it would be worthwhile knowing what is this evolving trend all about and how is it effective in coming up with AI solutions.
It is a widely used term to describe different forms of structured, semi-structured and unstructured data that could prove to be potential source of information. Its quantity may range up to petabytes and exabytes. It is hard to process big data using traditional applications due to its complex and extensive nature. It comprises data sets that need to be captured, curated, managed, searched, shared, transferred, and visualized for further processing. With the commonly used tools and software, it is difficult to meet all such challenges. Elaborating on this very topic, Gartner in a 2012 report, defines Big Data as a high volume, high velocity, and high variety information asset requiring new processing methods to facilitate improved insight discovery, decision making and process optimization.
Big companies like Google, Yahoo, eBay, Facebook, and more were prompt to use the capabilities of big data to come up with their own AI solutions. From maps to GEO-spacial information, visual items to subject matter expertise, these organizations are leveraging Big Data to device all such and many AI solutions. In the wake of this fact, the application of Big Data in the ever proliferating artificial intelligence domain indeed sees high prospects, some of them are mentioned right here:
With big data, AI gets a great opportunity to understand the user habits and recommend intelligent systems accordingly. For example, a mobile app can use collaborating filtering to recommend which shop is better for you to buy books, depending on your reading interests you reveal on a social media platform.
A common problem troubling online business is the widespread existence of spammers. Proper analyses of big data could be beneficial in devising AI solutions to block spam messages, and hence the spammers.
Building virtual robots that resemble human beings and interact intelligently with people is another of the vibrant big data applications in artificial intelligence. In the better future, the possibility of these advanced machines to discern your choice, taste and preferences, etc., could not be ruled out.
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