Friday, July 8, 2016

How These 3 Big Data Trends Are About to Change the Face of Every Industry

According to IBM, we create around 2.5 quintillion bytes of data every day. For this reason, Economist has projected that there would be seven times more data in 2020 than what was created in 2014.
This unprecedented growth was the main reason behind the arrival of the one of the most innovative inventions of the digital age, the Big Data. It has not only provided a way to the businesses to extract benefits from the burgeoning data but it has also helped to increase efficiency in every business process.
In this piece, we’re going to take you through a deep analysis of current trends and future possibilities of Big Data.
Machine Learning

According to Gartner, machine learning has been one of the top trends of 2016. The term machine learning refers to the key element for the preparation of data and predictive analysis in businesses moving forward.
The next step would be the creation of a link between data analytics and cognitive computing. Somewhat it is in the same way that businesses of today has accepted the relationship between analytics and big data.
Budding Romance with Artificial Intelligence

Hottest trend we have seen in the early months of 2016 is the increasing focus on AI by Big Data analytics solutions. This is because it helps in analyzing gigantic amounts of data and gain meaningful insights.
Current resurrection of AI is pretty much the result of Big Data. The area that is getting the most attention in Artificial Intelligence is that of Deep learning. Though its algorithms were created decades ago, it wasn’t until now that they could be applied to gigantic data in a cheap and quick manner and unleash their full potential. According to graph of Google Trends, Deep Learning is the buzz word that can be seen at an uphill trend and gaining popularity among the users (alongside the term “machine learning” which has been already discussed above). Coming back to the AI, it has been working at its best to help Big Data deliver its promises.
Spark all the Way

Creating a lot of buzz, Apache Spark can be seen growing as a complimentary analysis tool and will certainly continue to grow in the same way for a long time to come. Various players including IBM and Cloudera have already embraced the open source framework that has provided with required credibility. The key reasons behind its success are that it is much faster than Hadoop's MapReduce, easier in programming, and holds the ability to lend itself to machine learning.
Conclusion
In many ways, we are still in the early phase of the Big Data revolution. It was just the first phase that included the development of infrastructure for the storage of massive amounts of data. Artificial Intelligence is gradually bringing about a trend towards the inception of the application layer of Big Data. The pairing up of AI and Big Data will be driving an incredible innovation covering every single industry. To conclude, Big Data is about to get a hell lot of bigger than you ever thought!

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