big dataīig data is most assuredly here to stay at this point, and AI (artificial intelligence) will be in high demand for the foreseeable future. The objective is to catch up to, and leverage, the amount of data being produced by all of our computers, mobile smartphones and tablets, and Internet of Things (IoT) devices. Artificially intelligent algorithms would have to be written to accomplish the enormous task of deriving insight out of complex data.ĭata professionals and those with a master’s in business analytics or data analytics are expected to be in demand as corporations broaden their big data and artificial intelligence capabilities in the coming years. IT professionals and computer scientists quickly realized the job of sifting through all of that data, parsing it (converting it into a format more easily understood by a computer), and analyzing it to improve business decision-making processes was too much for human minds to tackle.
By the time the term was coined, big data had accumulated a massive amount of stored information that, if analyzed properly, could reveal valuable insights into the industry to which that particular data belonged. The world was entrenched in big data before it even realized that big data existed.
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