Merging Big Data and Artificial Intelligence Is The Next Big Thing

Artificial Intelligence is most probably the hottest trend in technology this right now, however what happens when it’s converged with another stylish and amazingly promising technology?

Specialists are searching for approaches to take push big data to the next level by combining big data and Artificial Intelligence.

We’ve quite recently acknowledged how powerful big data can be, and by joining big data and Artificial Intelligence, big data is quickly moving towards a level of development that guarantees a greater, all inclusive disruption.

What’s in store from the union of Big data and Artificial Intelligence

The utilization of Artificial Intelligence on big data is apparently the most imperative present day achievement of our time. It redefines how organizations create value with the assistance of information.

The accessibility of big data has brought about unprecedented breakthroughs in machine learning, that couldn’t have been possible before now.

With access to huge volumes of data sets, organizations are currently able to determine significant learning and concoct astonishing outcomes.

It is no big surprise then why organizations are rapidly moving from a hypothesis-based research methodology to deal with a more focused “data first” methodology.

Be that as it may, how is big data driving rapid breakthroughs in Artificial Intelligence?

Organizations are now able to process large volumes of information which was unrealistic before because of technical limitations.

Before, they needed to purchase powerful and costly hardware and software.

The far reaching accessibility of information is the most imperative change in perspective that has cultivated a culture of advancement in the industry.

The accessibility of big data sets has corresponded with remarkable breakthroughs in machine learning, for the most part because of the development of better, more sophisticated Artificial Intelligence algorithms.

The best case of these achievements is virtual agents. Virtual agents (all the more usually known as chat bots), have gained great footing through the span of time.

Beforehand, chatbots experienced difficulty distinguishing certain expressions or regional accents, dialect or nuances.

Indeed, most chatbots get puzzled by the least difficult of words and articulations, for example, mixing up “Queue” for “Q” et cetera.

With the merging of big data and Artificial Intelligence anyway, we can see new breakthroughs in the way chatbots can self-learn.

IPSoft’s Amelia

A decent case of self-learning virtual agents is Amelia, an “cognitive agent” recently created by IPSoft.

Amelia can comprehend regular dialect, catch on quickly and even gets more intelligent with time!

She is deployed at the help desk of Nordic bank SEB alongside various public sector organizations.

The reaction of executive groups to Amelia has been overwhelmingly positive.

Google’s DeepMind

Google is likewise diving deeper into big data fueled Artificial Intelligence learning. DeepMind, Google’s own one of a kind Artificial Intelligence organization, has built up an Artificial Intelligence that can show itself to “walk, run, jump and climb with no earlier guidance”.

The Artificial Intelligence was never taught what walking or running is, however figured out how to learn it itself through experimentation.

The ramifications of these achievements in the domain of Artificial Intelligence are amazing and could lay the foundation for further advancements in the future.

Be that as it may, there are dire repercussions of self-learning algorithms as well and, if weren’t too busy, making it impossible to see, you may have observed many in the past.

Microsoft’s Tay

Not long ago, Microsoft launched its own Artificial Intelligence chatbot named Tay. The bot was made accessible to people in general for visiting and could learn through human communications.

Notwithstanding, Microsoft pulled the plug on the project just a day after the bot was introduced to Twitter.

Learning at an exponential level fundamentally through human communications, Tay changed from a innocent Artificial Intelligence young lady to a malevolent, Hitler-adoring, incestuous, sex-promoting, ‘Bush did 9/11’- announcing robot in under 24 hours.

Should the development of Artificial Intelligence concern us?

Some fans of science fiction films like Terminator have voiced concerns that with the access it has to big data, Artificial Intelligence may move toward becoming “mindful” and that it might start massive cyber attacks or even assume control over the world.

All the more sensibly, it might supplant human employments.

Looking at the rate of Artificial Intelligence-learning, we can comprehend why many individuals around the globe are worried about self-learning Artificial Intelligence and the access it has to big data.

Whatever the case, the prospects are both interesting and startling.

There is no telling how the world will respond to the convergence of big data and Artificial Intelligence.

Nonetheless, such as everything else, it has its virture and vices. For instance, doubtlessly self-learning Artificial Intelligence will proclaim another age where chatbots turn out to be more productive and sophisticated in responding to client queries.


Maybe we would in the long run observe Artificial Intelligence bots on help desks in banks, waiting to welcome us.

What’s more, through self-learning, the bot will have all the learning it would ever need to answer every one of our inquiries in a way dissimilar to any human assistant.

Whatever the applications, we can most likely say that joining big data with Artificial Intelligence will proclaim a period of new conceivable outcomes and surprising new breakthroughs and advancements in innovation. We should simply trust that the ethics of this union will exceed the vices.



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