AI in Military: Armored Vehicles Ready for Action - Essay Sample

Introduction

Artificial intelligence involves the use of smart machines that are capable of performing tasks that require human intelligence. The algorithms are enabled by constraints that support models that are targeted towards perception, thinking, and action. The invention makes it possible for machines to learn from experience, perform tasks that require human input, and adjust to new inputs. According to the articles, artificial intelligence helps the army in keeping the armored vehicles prepared and the government in redesigning the public sector. They also discuss ways the government can keep up with the intelligence and the future of artificial intelligence. The last article describes how artificial intelligence has led to the realization of a smarter public sector. The selected article suggests that intelligence learning helps in collecting and analyzing all cost data, searching for supply sources, and analyzing the contract information. This paper focuses on discussing the acquisition and fulfillment through artificial intelligence and the selected article.

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In the selected article, the author suggests that in the future, artificial intelligence will lead to purchasing processes control and the automation of the acquisition processes. It will also lead to the digitization of purchasing and strategic insights regarding the best acquisition models. The teams involved in procurement will have better insights and new sources of value through artificial intelligence. The author also illustrates that there will be better decisions in the sources of supply selected by the firms. Supporting data will be made available for analysis in managing the purchases as it will optimize the purchasing process. The acquisitions will also be made possible due to the enhancement of the firms' operations. Using artificial intelligence, the purchasing managers will know the current market and future mergers and acquisitions. Therefore, decisions will be made in the best conditions of the firm.

However, the author hints that artificial intelligence is not the solution to everything. He suggests that there are no tangible results to show the effectiveness of the technology. Besides, he says that the debates going around do not address the reality of the adoption of artificial intelligence. Nevertheless, the author chooses to discuss ways in which technology will change the acquisition and fulfillment in the future.

It is, however, evident that the artificial intelligence systems will change the fulfillment and the acquisition in the future. Artificial intelligence will enhance decision making in the future. Before the recovery of artificial intelligence, the executives had to rely on inconsistent and unreliable data when making decisions regarding acquisitions (Jain, Shah, & Churi, 2019). With artificial intelligence, some data models and simulations can be used in making decisions. It also enables the analysis of data that can be used in making decisions for investment, such as the profitable transactions carried out and the ones that lead to losses. It also helps in making decisions for marketing purposes. Due to the complexities of the marketing decisions, the firm has to understand the preferences and needs of the customers to align the products to the requirements. Artificial intelligence, therefore, will help in making the right decisions.

Additionally, artificial intelligence will help in the optimization of planning and policymaking in the public sector. The government will be able to use the intelligence to assist in analyzing public trends in social media and on the streets. It will, therefore, help the government in making policies that address the relevant issues (Jain et al., 2019). It will also be used to understand public perception regarding political issues to enable lawmakers to make the best decisions.

Moreover, artificial intelligence will lead to the replication of knowledge and reasoning methodologies of experts through the expert system. Due to its capability to analyze big and complex data, the problems facing the firm will be efficiently assessed, and the recommendations offered to help in solving them. The automation in marketing and distribution of goods and services will lead to hastening and providing those who make decisions with credible insights to assist in improving the operations (Jain et al., 2019). The retailers will also have the ability to forecast the market trends to help in informing them of the production of the required products.

Furthermore, the artificial intelligence will lead to better acquisition of talent. It will make the recruitment process excellent at a time when companies have expectations of hiring skilled professionals urgently (Jain et al., 2019). There will be software reviewing the candidate's qualifications and selecting the ones that are considered to best fit in the positions. After the analysis and the system's conclusion regarding the recruitment process, the right talent will be selected. It will also lead to a better orientation of the employee into the company as most will have the information that is required to start the job.

Also, artificial intelligence will result to lead generation. The process involves the identification and the development of possible customers for the business' products. Therefore customer acquisition will be enhanced with the analysis of the consumer data from social media by the technology to determine their preferences (Obschonka & Audretsch, 2019). The companies will be able to produce goods that are in high demand while neglecting the ones that are not needed by the customers. It will also lead to better consumer interactions as artificial intelligence leads to constant consumer engagement through the chat boxes.

Besides, artificial intelligence is significant in acquisition and fulfillment in the future as it will help in verifying and reconciling errors in businesses. Verification and reconciliation algorithms will detect critical errors in data automatically (Obschonka & Audretsch, 2019). They, therefore, will provide accurate data that is vital in determining the success of the procurement processes and calculating the results of benchmarking. The technology will also help in keeping track of the history of the changes in the prices of goods to enable effective analysis process that leads to business profits. It will, therefore, allow businesses to fulfill the conditions of the market.

Further, the adoption of artificial intelligence in the business sector will ensure a faster analysis of contracts. The company will also be able to accumulate more information regarding the contracts and reduce the disputes that may arise. It will ensure successful transactions (Obschonka & Audretsch, 2019). The technology will also help the firms in identifying the non-compliance cases to ensure that companies fulfill the conditions in the contract. Artificial intelligence will, therefore, be a useful tool in the procurement process.

Conclusion

Conclusively, artificial intelligence will enhance acquisition and fulfillment in the future. It will lead to better decision making as it will support the analysis of complex data and retaining information about the firm. It will also help in making decisions regarding the sources of supply and the profitable investment as it supports the assessment of the past trends in the market. It will lead to the automation of the transaction process, which makes the operations of business productive. Moreover, artificial intelligence is essential in the public sector as it will lead to better policies and planning to ensure that only the relevant issues are addressed at a given time. It will also ensure compliance with contracts by companies.

References

Jain, A., Shah, D., & Churi, P. (2019, September). A Review on Business Intelligence Systems Using Artificial Intelligence. In International Conference On Computational Vision and Bio-Inspired Computing (pp. 1023-1030). Springer, Cham. Retrieved from https://link.springer.com/chapter/10.1007/978-3-030-37218-7_107

Obschonka, M., & Audretsch, D. B. (2019). Artificial intelligence and big data in entrepreneurship: a new era has begun. Small Business Economics, 1-11. Retrieved from https://link.springer.com/article/10.1007/s11187-019-00202-4