Predictions For The Future Of Big Data

While a lot of experts believe that there’s some great stuff in store for the future of big data, it is also true that technology will be greatly advancing throughout 2017. This is why there are a number of complex facets of big data, which are increasing by the day. Various attributes of big data, such as artificial intelligence and cloud computing, are believed to have a huge impact on big data analytics. There are a number of factors that exhibit the potential to change or more likely determine the direction at which big data is moving. For instance, there will soon be a number of customers who would replace the businesses, in demanding various amounts of data, to look for the cheapest hotels and understanding climate issues and similar concepts. There is a very acceptable idea today, of a reality where it would be the customers, the common man, if you may, who would be demanding personalized, tailored artificial intelligence technology, to suit their particular needs and demands.
While these seem like mere examples, with a tinge of realism, there are absolute chances of these becoming a reality very soon.
Ten years ago, all the data that was ever generated and accumulated, made up the highest denominations of storage space, which was namely Gigabytes or Terra-bytes, but the recent few years have made an explosion of data, into what is known as exabytes; this term roughly refers to billions of Gigabytes of data. This is where we derive the term ‘big data’ from, it is to denote the humongous amounts of data that has been generated, all over the world, in such a short amount of time. Regardless of whatever happens in other aspects of this field, one thing we can be absolutely certain of. That is, that data will be continuously growing, which means that soon there will come a time, when we will be talking about Zettabytes, which roughly amounts for a trillion Gigabytes.
Artificial Intelligence began its advent, as just a buzzword which was continuously used by sci-fi movie enthusiast and was mainly used to refer to technology only seen in sci-fi movies and the likes. Today, this term is no longer reserved for those, who are obsessed with technological gizmos, or those involved in science. It has very well become a part of our everyday lives, through various examples, like Google’s Allo, Microsoft’s Cortana and Apple’s Siri. There are absolute indicators that AI has full potential of transforming, from something nice to have to very essential technology to have. There are so many changes and futuristic developments that big data can make today, as well as in the future.
One of the biggest prediction is the fact that big data can result in various advanced applications for fields of national security, customer behavior tracking, weather forecasting, HR, sports, health and so on.

One prediction is definitely going to happen, which is that big data will have a better, smarter and a huge impacting role to play in the future.


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The Promises of Artificial Intelligence: Introduction

The field of Artificial Intelligence seems to working on a winning streak. In the year 2005, the U. S Defence Advance Research Project Agency, held the DARPA Grand Challenge, which was supposedly held to spur development of autonomous vehicles, basically in order to make self-driven, smart cars. This challenge was taken up and successfully completed by 5 teams. In the year 2011, in a great competition of Jeopardy, the IBM Watson system, was successfully able to beat two long time, human champions of the same legendary game. Another great win of technology over the human race would be in the year 2016, when Google DeepMind’s AlphaGo system was able to successfully defeat the world champion of Go Player, who was reportedly the world champion for 18 consecutive times.
While these feats of technology over the human brain are extremely commendable, today the long surviving dream of humans, which basically revolved around developing technology to control their surroundings, has finally come to fruition. This has resulted in the form of Google’s Google Assistant, Microsoft’s Cortana, Apple’s Siri and Amazon’s Alexa. As a result of all of these AI (Artificial Intelligence) powered virtual assistants, people are able to make greater use of technology in order to live better lives.
Artificial Intelligence is considered to be a field of computer science, which is entirely devoted to the creation of computing machines and systems, all of which are able to perform operations that are similar to human learning and decision making. According to the Association for the Advancement of Artificial Intelligence, AI is, “the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machines.” While these intelligence levels can never be compared to those of the humans, but they can certainly vary in terms of various technologies.
Artificial Intelligence includes a number of functions, which include learning, which primarily includes a number of approaches such as deep learning, transfer learning, human learning and especially decision making. All of these functionalities can later help in the execution of various fields such as cardiology, accounting, law, deductive reasoning, quantitative reasoning, and mainly interactions with people, in order to not only perform tasks, but also to learn from the environment.
While the recent changes may be extremely mind blowing, the promise of AI has always been existing since era of electromechanical computing, this began in the time period, after the World War 2. The first conference of Artificial Intelligence was held at the college of Dartmouth in the year 1956 and at that time, it was said that AI could be achieved within the time period of summer. Later on, in the 1960’s there were scientists, who claimed that in the next decade, it would be possible to see various machines controlling human lives. But it was in the year 1965, when the Nobel Laureate, Herbert Simon, who is supposed to have predicted the words, which would have some substance and which were, “In the next 20 years, it would be possible that machines would be able to do any work of labour that man can”.
With Artificial Intelligence, going in full fervour, the field which it has affected most in the field of Data Science. And as there are many who believe that there is a great to achieve in this field, have begun to get trained in the same by approaching professional training institute – Imarticus Learning.

Big Data Hadoop- The Basics

The digital universe, is filled up to the brim with data, big data as it is popularly known today, is everywhere around us. With its existence comes another aspect, the never ending search for those who can perform magic with this big data, the Data Scientists as they are popularly known.
The explosion of big data took place about half a decade ago and with that, was uncovered a new avenue of possibilities. Earlier, it was the terra byte or the giga byte, which were known to store biggest data; but now the times are changing and new terms like petabytes or zetabytes have come up as storage units for Big Data.
It was only recently that firms discovered the value in the enormous amounts of data that was pouring in through their customer base of millions. At the same time another prediction was made, this one hinted at more data being generated in the future and with that, more demand would be made for people who would be able to make sense out of this data. Statistics state that India will face a shortage of around 2 lakh data Data Scientists for its firms.
There are a lot of tools in the market, which assist a Data Scientist in Data Analytics. These tools usually help in extracting data, storing it, analyzing it and then drawing solutions. Data Analytics is soon to become a marketing requisite, because of the treasure of patterns and insights hidden under mountains of data. R Programming, SAS Programming, Python, Big Data Hadoop are some of the major tools used in this industry, of these Big Data Hadoop is said to be the forerunner.
Hadoop is very well known as the ‘next big thing’ in the data analytics world. This tool was developed by Apache in the year 2002. The basic idea to develop this tool was a way to provide a better open source network for data analytics. At the peak of its popularity, no tool was better than Hadoop at managing huge amounts of data sets. This tool could extract, store and move data with a lot of ease. It is basically free to download and is a distributed storage and distributed processing platform for managing huge amounts of data.
With the use of Big Data Analytics on the increase, it is seen that Hadoop will become the default software for a lot of e-commerce giants as well as big names in other industries. It is also noticed that in India itself there are quite a lot of professionals who are trained in Hadoop. If we look at the numbers there are almost the same numbers of professionals trained in Hadoop in India as there are in the Silicon Valley. More and more companies are looking to hire these professionals, thus making Hadoop the most sought after skill on resumes.
Imarticus Learning one of best educational institute in India, which offer certification courses and training programs in Hadoop. Many aspirants today are opting for these courses and getting trained in Hadoop as well as other data analytics tools.