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Chatbots And The Internet Of Things In Public Service Creative Writing

Connecting Everything The Internet of Things

Artificial Intelligence (AI) can be integrated into public sector services to improve not only the user experience through automated responses, but also to enable data-driven decision making by providing real-time insights from big data (Kuziemski & Misuraca, 2020). AI algorithms can be used to monitor and analyze information from data-based sources, and can help to surface patterns which could inform policy makers, fundraisers, and other stakeholders in the public sector service delivery. AI can also be used to streamline the process of customer service delivery, by predicting the needs of customers and tailoring their experience accordingly.

Internet of Things (IoT) can be used to create an interconnected system of smart objects that can provide data and insights that would otherwise be difficult to obtain. Examples of public sector services in which IoT could be utilized include monitoring and reporting, security systems, asset tracking, and data collection (Chen et al., 2014). Smart sensors embedded in various systems would enable real-time analysis of...

It eliminates the need for on-premise hardware, while also introducing enterprise-class security...
…service, enabling swift resolution of user queries or complaints.

Public sector organizations can maximize the potential of these technologies by assessing their current needs and implementing the appropriate technology to address their specific requirements. It is also important to ensure that they have the necessary infrastructure in place to support the new technology, as well as the relevant security measures to protect sensitive data. Thus, public sector organizations should consider investing in staff training and education to ensure that all employees are familiar with the technology being used. Ultimately, it is important to collaborate with other public sector organizations, private sector companies, and universities to share best practices…

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References

Ahmed, Z., Mohamed, K., Zeeshan, S., & Dong, X. (2020). Artificial intelligence withmulti-functional machine learning platform development for better healthcare and precision medicine. Database, 2020.

Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. (2014). A vision of IoT: Applications,challenges, and opportunities with china perspective. IEEE Internet of Things journal, 1(4), 349-359.

Kuziemski, M., & Misuraca, G. (2020). AI governance in the public sector: Three talesfrom the frontiers of automated decision-making in democratic settings. Telecommunications policy, 44(6), 101976.

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