Home > Posts > BigData > Big Data Trends in The Near Future

Big Data Trends in The Near Future

Big Data Trends shift rapidly, as it is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. Therefore, we are going to discuss and tackle Big Data Trends in the near future through this article. 

Big Data Trends in The Near Future

  • Machine Learning
     Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
  • IOT
    The Internet of Things is also probably to have a great impact on big data. According to a September 2016 report from IDC, “31.4 percent of organizations surveyed have launched IoT solutions, with an additional 43 percent looking to deploy in the next 12 months.” With all those new devices and applications coming online, organizations are going to face even faster data growth than they have experienced in the past.
  • The Rise of Predictive Analytics
    Big data analytics has always been an essential strategy for businesses to have a competitive edge and achieve their goals. They use the necessary analytics tools to process big data and determine the reasons why certain events happen. Now, predictive analysis through big data can help predict what may occur in the future. There is no doubt this kind of strategy is greatly effective in helping analyze gathered information to predict consumer behavior.
  • Intelligent Security
    Many companies are also incorporating big data analytics into their security strategy. Organizations’ security log data provides a treasure trove of information about past cyber attack attempts that organizations can use to predict, prevent and mitigate future attempts.                                                                                                                                                                                                     As a result, some organizations are integrating their security information and event management (SIEM) software with big data platforms like Hadoop. Others are turning to security vendors whose products incorporate big data analytics capabilities.
  • Smarter Chat-bots
    Powered by smarter AI, chat-bots are now being deployed by companies to handle customer queries to deliver more personalized interactions while decreasing the need for actual human personnel.                                                                                                       Big data has a lot to do with delivering a more pleasant customer experience as bots process large amounts of data to provide relevant answers based on the entered keywords by customers in their queries. During interactions, they are also able to collect and analyze information about customers from conversations.
  • Self-Service
    As the cost of hiring big experts rises, a lot of organizations are probably to be looking for tools that allow regular business professionals to meet their own big data analytics needs. IDC has previously predicted “Visual data discovery tools will be growing 2.5 times faster than rest of the business intelligence (BI) market. By 2019, investing in this enabler of end-user self-service will become a requirement for all enterprises.”                                                                                                                                                          Several vendors have already launched big data analytics tools with “self-service” capabilities, and experts expect that trend to continue.

It is a relatively new approach to business intelligence that allows less tech-savvy end users to perform data analytics on their own, rather than relying on skilled and experienced professional team

error: Content is protected !!