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Tag: Certificate courses in Data Science

Predictions For The Future Of Big Data

Posted on by Imarticus Learning

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.

Loved this blog? Try these blogs as well –
What’s Machine Learning All About?
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What is Meant By Data-Driven Innovation?

Posted on by Imarticus Learning

What is meant by data-driven innovation?

Do you know why almost 40 per cent of business models fail every year? The reason behind them is not using data analytics or data-driven innovation. 

Let’s understand what data-driven innovation is.

It is a concept where we use data and analytics to achieve the organisational goal by revamping the process, product and business module etc.  As per Gartner hype cycle 2021, data-driven innovation is the most crucial technique for business growth. Not just for organisations, but data-driven innovation is helpful in the education, social media, healthcare sectors etc. 

What is the role of data analytics in data-driven innovation?

Without analysing the data, data innovation is not possible. So, both data analytics and data innovation go hand in hand. Data-driven innovation can be done after we club and analyse the data.

There are a few types of data innovation. We will name a few here.

Business model data innovation

If your business is not doing up to the mark or you want to grow your organisation, business model data innovation can play a pivotal role. This technique collects the data and analyses it. Businesses then take the necessary information and innovate the business model to improve and raise their growth bars.

Data-driven innovation for products 

Companies can revamp their products after analysing the data from the past. Data analytics is used to interpret the information about the merits or demerits of the products, and then changes can be made accordingly. Specifically, product-based industries or solution design companies can experience the wonders of data-driven innovation. 

Process innovation

Sometimes, everything in the product is good, but the profits are not looking appreciable in the reports. That’s when data is analysed, and data-driven innovation improves the process. These scenarios are prevalent in consumer-centric industries. Their customers like the products but sales were not reaching the targeted numbers. Data-driven innovation comes into the picture here. Data helps to know the leaders where the process is lagging and creating hurdles for the profits. Then, necessary actions can be taken to add or delete the steps in the process, and the problem can be addressed effectively. 

Either company can hire professionals who are good at data analytics to interpret the data and do data innovation, or existing employees can opt for data science and artificial intelligence courses. 

Data-driven innovation is doing wonders in the education sector too. The most popular data-driven strategy is used to add value to the students in the education sector.  

Let’s look at the benefits of data innovation in the education sector.

Customised learning

Students can benefit from artificial intelligence and data science by getting customised learning courses. There are education tech companies that design courses as per the learning needs of the students. Students can take different courses per their learning needs and opt for their desired careers. 

Support teachers and growth of students

Student’s detail can be captured efficiently. Data like the number of lectures, attendance, lesson plan etc., can be recorded and shared with the students and other stakeholders. Students can work on the lagging areas and know their strengths and weaknesses. Data innovation will increase the student’s interest in studies and raise the performance graph.

So, we have understood what data-driven innovation is. How it benefits various sectors, including the educational domain. Therefore our courses in Data Science and Machine learning might interest you. You can learn data science and drill complete information from the data. Remember, data is the new fuel; you can only fill this fuel in the growth by interpreting it to the fullest. 

The Promises of Artificial Intelligence: Introduction

Posted on by Imarticus Learning

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.