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By
Government CIO Outlook | Tuesday, March 12, 2019
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Every sector is passing through diverse changes due to the advent of cutting-edge technologies like AI, big data, and blockchain. The time-consuming monotonous task of analyzing huge data sets no longer depends on the human agent instead data processing has become autonomous through AI. From defense to transport, every sector has witnessed how automated devices can introduce positive changes.
In 2019, there will be an exponential growth in the deployment of AI in several areas. The CES 2019 witnessed how companies spare thought to bring innovation to the existing scenario. For example, the show witnessed the introduction of AI-powered drone with Simultaneous Location And Mapping (SLAM) to create a virtual map of its place, and D-Link showed a glance of a connected future introducing 5G home router to be controlled through voice commands. The NewVantage Partners has done 2019 executive survey under the theme of 'Data and Innovation: Leveraging Big Data and AI to Accelerate Business Transformation.' This survey exhibited almost 91.6 percent of leading companies are escalating the pace to invest in the big data and AI in order to achieve desired agility.
Deploying AI in IoT has become crucial to facilitate the process of automated decision-making. Advanced data analytics has become essential for different sectors to cope with the prevailing scenario. For example, the insurance sector confronts with several challenges with the conventional ways of detecting risk factors related to the new deal, and AI plays a definitive role to analyze the risk factors more reliably and efficiently in a short time. In 2019 AI-powered chatbots will enjoy exponential growth in the customer centers, as they have the ability to fulfill the demand for personalized service. Gartner rightly predicts, by 2020, 85 percent of the customer relationships will be automated.
The growth of connected IoT devices has made security vulnerable, as they produce vast data sets. AI will play a pivotal role to analyze raw and unstructured data sets to figure out the dominant risk factors that may hamper the growth of a business disrupting the operational agility. Big data and AI will be the two essential weapons to combat growing cybersecurity threats.
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