Data is an overall commodity that a lot of individuals make use these days. It's not surprising to find students trying to accomplish their work through the aid of the internet or research material being readily available online. Technology has created huge leaps for information be readily available to the masses; sifted easily with the aid of a trusty search engine. With so much information to dive into, it's not surprising that there are going to be a lot of changes to be implemented on the usage and filtering of all these assets.
Protecting large data volumes
With the internet rapidly changing as each year trickles by, a lot of information gets thrown in here and there. Last 2016, UK has formally introduced strict data protection laws that has impacted the IT industry. It has impacted a lot of businesses as UK wants to retain all the information within their borders. For 2018, they will be implementing more rigorous guidelines. Companies dealing with a lot of the UK data must ante up their accountability in handling the information. They will also respect the laws of keeping all UK related data within their own shores. While there had been a leeway on how this had been handled in 2016, the changes for this law will leave an impact on future data mining and HR related cases for those in the UK.
Information wellspring for booming companies
Information must be stored somewhere for it to be relative in future work. As of 2009, it was said that companies will have used at least 200 terabytes of data. As of the year 2017, much of the population is continuously connected to the cyberspace with social media being the leading cause of that. With large amounts of data readily available and at a low cost, companies can easily restructure their business model or their tasks to achieve a higher margin on sales and output. There is one hurdle to this rapid growth of data; the shortage of highly skilled individuals who can analyzed and crunch big data to make it valuable for the niche they're assigned in.
Machine learning rises to the spotlight by 2018
Big data aids machine learning and various algorithms that the recruitment industry must sift through. With the aid of automation, it can not only cut costs on time and effort but also on errors to isolating ideal candidates. It's been coined that recruitment will die out once 2018 rolls in due to the automated approach in selecting candidates. As of 2016, LinkedIn has introduced an AI recruitment into their system which helped in connecting individuals with various job posting.
The non-commercial facet of Big Data
Information has once been found only in libraries can be easily accessed on the web space. Today's modern technology gives way to researchers and students to quickly look for research material online. It's not even surprising to find content from Wikipedia used as a benchmark for class reports. Ideally, there's also Course Hero free as an aid for students to guide them in their schoolwork. Not only that but certain organizations, NGOs and etcetera, have made use of big data to promote their cause and launch campaigns.
Big data is a term not heard so often. To put it simply, it's a large amount of data that can be relevant to a lot of fields. It is data that is needed for analyzing in how to conduct decisions as well as to gauge the user behavior for certain information. With how rapid the industry and data has grown through the years, it's not surprising that laws have been implemented to safeguard it. Large amounts of data is an asset that individuals should make good use for the development of themselves and the world.
For more on big data analytics see: Big Data Analytics: What you need to know and In The Age Of Fake News It Is More Important Than Ever To Know Your Cognitive Biases
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