Data blending means combining data from multiple database sources into a single worksheet or table of a given solution in a relatively quick and straightforward way for discovering pattern between data. Big Data blending is gaining importance in businesses as data blending allows uncommon types of data to coexist in a model. New and better strategic decisions can be made by bringing together unusual feeds into one repository. Data blending and data joining are not similar and have significant differences. Joining involves combining data from the same source whereas blending involves combining data from different sources.
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Artificial intelligence (AI) is important nowadays. Marketers and advertisers need to understand that without the help of AI, it is difficult for any business to sort through all the data and then take day-to-day strategic decisions, and ensures that there is no wastage and thus increasing ROI. Marketers also use AI to look at a customer’s past behavior and predict what they are going to be interested in future.  But, the main risk is that many of the jobs that require human attention may be performed better, faster and even cheaper in the future by robots or AI software systems. Read more at: http://digitalmarketingmagazine.co.uk/digital-marketing-data/unlocking-the-potential-of-data-through-artificial-intelligence/1723