Have you ever wondered how all the data from modern tech solutions is generated? Who turns the enormous amount of statistics into meaningful data? Who can read the data that every solution, from a smartphone to a smart home, brings? It is the data miners, acquisition experts, and interpreters who are behind it all. And, this is the reason data scientists are the most sought-after in the modern-day era.
The data miners, as evident from their name, monitor and extract data through algorithms, machine learning, and Big Data. They use a combination of tools to find out information and translate it into something useful. They are the ones who conceptualize, organize, and analyze structured and unstructured data. It is due to them that inarguably every digital process depends on them.
These digital processes happen every day in almost every sphere of life and create a significant impact. Data science digs deep into them to carve out the numbers and refines the end-user experience in the longer run. It is evident in product reviews to business decisions and financial forecasts or studying consumer preferences.
The said points are adequate to aspire one to become a data scientist. However, the process of reaching that absolute peak in one’s career is not easy. It is essential to establish a strong foundation and gain the comprehension of statistical calculations. To do so, one should enroll in a bachelors of data science program to build solid concepts.
But before you do that, you’ll need to know what the field of data science promises for the future. And that’s precisely what we will assist you with. Let us look at the top trends of data science that will shape technology during the year 2020.
- Data Upsurge
During the ongoing year, we can expect to see an increasing number of organizations, businesses, and individuals generate data. We will see an overall upsurge in the numbers and statistics, bringing more insights to data science. To understand this, let’s look at how this data is generated. The fact is that every time we commute, be online on any social media platform, we create data. We also create a massive bulk of data over-time when we order food, go shopping online, or even send a simple text. During the rest of the year, this trend will increase further and bring in more data for scientists.
- IoT Devices
Internet of Things (IoT) is a colossal pillar to today’s data science and brings real-time, credible data to the fore. It is the system that delivers the devices together and makes them interact to produce substantial, tangible data. It is based on this concept that we see continued development in the area of smart cities. In the rest of 2020, we would witness more smart cities coming into being and then changing the way people live. The interconnectivity of the devices is bound to govern many cities, enabling a better standard of living. For instance, a device installed at a house can automatically alert authorities about a fire situation in a smart city.
- Industrial Boost
Big Data is another aspect of the Data Science bound to take it to a higher level of advancement. We can expect to see hundreds, if not thousands of businesses switch to more advanced solutions during the ongoing year. For instance, in sports, team managers are choosing solutions based on data to increase their chances of winning. They are relying on on-field sensors to study how players demonstrate better play. Secondly, the wearable can help players avoid injuries. Also, performance monitoring through the devices can help individual players up their game expeditiously.
Another example of an industrial uplift is how businesses can carry-out competitor analysis based on data. They can find out where they lack in particular compared to their competitors and then work to bring improvement. In 2020, we can see and experience and uplift in all such sectors, based on the data. Also, in the consumer industry, we see many companies leaving giants behind by better studying consumer habits and preferences.
- AI & Automation
We have seen a rising number of computers mimic humans successfully and solving some of the many problems. And, during the ongoing year, we are going to see it go further up the ladder. Until recently, our focus has been on introducing programs that can solve human problems. However, now, we may see them learn some of the issues themselves and give them solutions accordingly. In this scenario, we would see more robots, virtual assistants, and social media monitors.
When computers blend with data science, automation becomes inevitable. From manufacturing units to self-driving cars, we would see further developments concerning automation. Similarly, many companies would move to a more automated process, based on data, thus increasing processes.
- Cloud Computing
It isn’t possible by any means to see automation improve but not the computing. Based on crucial data insights, cloud computing would further emerge as a scientific solution. The storage and analysis of data have become much more beneficial through cloud computing. During the year 2020 and upcoming years, we would expect a more significant rise in the use of data-driven software and applications. We will be witnessing many organizations rising above the limitations by investing more in the cloud solutions.
Technology and data science are a natural combination as both support each other to produce insightful solutions. The more data-driven we’re becoming, the better grasp we are having at our processes and lives in general. As we progress, we see more developments in every industry sector. Internet of Things (IoT), Big Data, and other data science methods are bound to lead the pace of the progress. Quite soon, we’d see more automation, virtual assistance, cloud computing, as well as automation governing the change. As a result, businesses will experience robust growth without limitations.
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