decisions. Through Natural language processing, recruitment portals have also becomevery common. These portals help in handling mass hiring whereby human resourcemanagers need to sort thousands of resumes depending on the keywords (Hirschbergand Manning, 2015).e.Robotics Process AutomationThere has been intensifying interest in robotics and its application of AI technologies. Asautomation becomes a norm in many organisations, Robotic process automation is anew form of business process automation technology and already in place withinorganisations and they are benefiting from its outputs. Robotic Process Automation isvery useful in maximizing optimal results and more efficient. Reports have indicated that25
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the top priorities for robotics automation are to focus on continuous improvement,increase the level of automation and develop analytics capabilities. The number oforganisations showing interest in robotic process automation has also increased ascompared to the past years regarding to improving services and reducing cost (Gami, etal, 2019).f.The Rise in Intelligent ApplicationsWhen AI meets application development the outcome is intelligent application. Theseintelligent applications can constantly learn from user interactions and other datasources to become more important and useful. AI has been incorporated into enterprises through the creation of Web applications andmobile applications. AI is helping specifically in prioritizing to-do lists, schedule meetingsas well as find hidden insights in data. Those applications is very useful in matter ofsaving time and more efficient. As such, the use of intelligent applications is expected torise since most of the world's largest companies are exploiting AI in order to improvecustomer experience (Joshi, 2018).4.2 Contribution of AI to technology improvementsAI has significantly contributed to technology improvements in the past few years withcompanies benefiting from its applications. For instance, in the finance industry, loanmanagement has been easier than it was before. A company such as Capital Float usesmachine learning internally to automate loan underwriting. By doing so, it is able to offerunsecured business loans to small and medium businesses by collecting all the relevantdata from its customers. Generally, the internal software uses machine learning to track26
loan repayments and also identify potential loan defaulters. In addition to that, thecompany also uses machine learning to deliver financial solutions for small and mediumenterprises across e-commerce and other digital remittances (Lin, et al, 2018). In the service industry, AI has also been applied to contribute to technologyimprovements in terms of risk management. In this regard, the Bombay Stock Exchangein India has introduced a data analytics solution that tracks social media shared newswhich is related to companies listed in the stock exchange. In this case, machinelearning is used to detect potential risks of market manipulation and also rumours, andthereby, mitigate such risks.
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