By the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet, says an IDC Digital Universe Study. This huge amount of information will require more big data technologies, stronger data security, and integration of AI, machine learning and cognitive technologies applications with business operations.
Here are five big data and data science trends to watch out for in 2018
Demand for Prescriptive analytics
The perceptive analytics helps access and analyze huge amounts of data for making organizational decisions. Google uses analytics for improving hiring decisions. Amway uses assessment tools such as a predictive index to take more informed hiring decisions.
Data scientists will be in high demand
The growing data science industry leads to tremendous demand for data scientists. According to IBM, by 2020, the demand for data scientists will increase by 28 percent. In India, the number of analytics jobs doubled between April 2016 and 2017.
Cognitive technologies and artificial intelligence (AI)
According to Deloitte University Press, it is now possible to automate the tasks that require human perception skills. Cognitive systems such as IBM Watson, Stanford’s Deepdive and Google’s Deepmind enable enterprises to make sense of unstructured data through natural language processing (NLP).
Cloud-first strategy and cloud-based platforms for big data analytics
By 2020, at least a third of all data will pass through the cloud. Business leaders that can analyze multiple sources of data can make use of various opportunities to boost outcomes across functions.