As the current year begins with a bang, life in the world of big data seems pretty exciting. Let’s take a look at the some of the happening trends that are going to rule the roost in the coming months.
No more fake data scientists: A basic know-how of SQL and/or R, an entire experience amounting to a few hours in a data science lab without any real institute training, and a knowledge built on free books that thousands of people read is not going to help those who are looking for a sterling career in data science anymore. However, if you are not a data scientist (or are a physicist or microbiologist – essentially someone with a quantitative background), but have experience working on real data, know coding and can eke out value out of big data, getting a data science job is easier than ever. It is because companies know that first, learning on the job will be much easier for you than for a fake data scientist who has never worked on a big (or even real) project before, and second, because your background enables you to know innovation better than someone whose achievements are limited to Coursera or a data science boot camp – something which predicts a better ROI for the company.
Reign of IoT: Sensor data, or the Internet of Things, is going to explode in this year. According to a report by Business Insider, the IoT device market will grow by more than double of the market that includes smartphones, laptops, PC, tablet, wearables and connected cars by 2019, and a major share in that growth will happen in 2016. Increased efficiency and lower costs will be the most noticeable benefits of this change, as users will gain superior control within the home, city and workplace. However, security concerns for IoT devices will take centre-stage this year. The solution providers who provide security with connected services will be the biggest winners in this domain.
Artificial Intelligence: Artificial intelligence is made possible by machine learning, which enables devices to grow and improve themselves on their own. In 2016, deep learning, a branch of machine learning that uses multiple layers of processing and specific set of algorithms to model high-level abstractions in data, will be the governing factor behind the development of artificial intelligence.
Focus on smart data: Smart data is data of a high variety, not necessarily of high volume. Big data expert Kirk Borne says that 2016 will see the rise of smart data, i.e., data that is feature-rich, content wise as well as context wise. This smart data is not only highly useful because of its associations, links, and interdependencies, but also enables intelligent discoveries, decisions, and applications.
On an average, this year will be another year where technology takes humanity to new grounds. This time, the impetus is on connectivity and data-driven growth.
What are your expectations from the world of big data in 2016? Share with us in the comments section.
No more fake data scientists: A basic know-how of SQL and/or R, an entire experience amounting to a few hours in a data science lab without any real institute training, and a knowledge built on free books that thousands of people read is not going to help those who are looking for a sterling career in data science anymore. However, if you are not a data scientist (or are a physicist or microbiologist – essentially someone with a quantitative background), but have experience working on real data, know coding and can eke out value out of big data, getting a data science job is easier than ever. It is because companies know that first, learning on the job will be much easier for you than for a fake data scientist who has never worked on a big (or even real) project before, and second, because your background enables you to know innovation better than someone whose achievements are limited to Coursera or a data science boot camp – something which predicts a better ROI for the company.
Reign of IoT: Sensor data, or the Internet of Things, is going to explode in this year. According to a report by Business Insider, the IoT device market will grow by more than double of the market that includes smartphones, laptops, PC, tablet, wearables and connected cars by 2019, and a major share in that growth will happen in 2016. Increased efficiency and lower costs will be the most noticeable benefits of this change, as users will gain superior control within the home, city and workplace. However, security concerns for IoT devices will take centre-stage this year. The solution providers who provide security with connected services will be the biggest winners in this domain.
Artificial Intelligence: Artificial intelligence is made possible by machine learning, which enables devices to grow and improve themselves on their own. In 2016, deep learning, a branch of machine learning that uses multiple layers of processing and specific set of algorithms to model high-level abstractions in data, will be the governing factor behind the development of artificial intelligence.
Focus on smart data: Smart data is data of a high variety, not necessarily of high volume. Big data expert Kirk Borne says that 2016 will see the rise of smart data, i.e., data that is feature-rich, content wise as well as context wise. This smart data is not only highly useful because of its associations, links, and interdependencies, but also enables intelligent discoveries, decisions, and applications.
On an average, this year will be another year where technology takes humanity to new grounds. This time, the impetus is on connectivity and data-driven growth.
What are your expectations from the world of big data in 2016? Share with us in the comments section.
