Artificial Intelligence In Logistics: Investigating The Technology, Applications And Ethics

Discussion

Artificial intelligence is the advancement or development of computerized systems, which have the ability of performing various tasks instead of requiring human intelligence (Russell & Norvig, 2016, p. 3). The technology of artificial intelligence has overtaken human intelligence in all fields and has increased the possibility for thinking, taking relevant decisions and providing better results. There is a huge impact of artificial intelligence on the entire technological world since it helps to create the expert systems, exhibiting intelligent behaviour. The main feature of the artificial intelligence is it helps in preventing the various hazards. They are programmed in such a manner that the problem could be easily detected at the early stage. These could perform various tests over the systems regarding the various risks and problems (Michalski, Carbonell & Mitchell, 2013, p. 2). The second feature of this technology is that the machines were designed to provide the capability for learning from the previous experiences. Since, AI are majorly exposed to the real life data, these data set are quite bigger as well as better. Hence, accuracy is improved for the data and the ability of decision making is improvised with time.

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The following report provides a brief explanation of the impact of artificial intelligence on one of the famous Australian logistics company, Logi World Pvt Ltd. The various applications will be provided in the report as well. Logi World Pvt Ltd has decided to expand their business with the involvement of the applications of artificial intelligence. Amongst the five popular AI based applications, this report provides proposals of three such applications that are suitable for them.

The largest Australian logistics organization is Logi World Pvt Ltd and it was established around 20 years earlier. More than 200 staffs are eventually working in this company and they have their headquarters in Sydney, Australia. This particular organization of Logi World Pvt Ltd is being operating in various states in Australia and also in the other parts of Oceania region. They provide end to end logistics solutions to the larger organizations. These client organizations are mining, warehousing and manufacturing. Some of these client organizations are expanding the businesses and thus they wanted to provide logistical solutions on the basis of artificial intelligence. Thus, Logi World Pvt Ltd has also considered to explore various alternatives for the expansion of the business in upcoming 5 years after involving few AI based services. The CEO or chief executive officer of this company has substantially given the core responsibility of investigating various applications or technologies of artificial intelligence to the head of ICT for providing the significant services within the industries of manufacturing, mining and warehousing.

Case Study

Artificial intelligence or AI can be defined as the method of making the computer controlled robots, computerized systems and the software that has the major capability of thinking intelligently or in the same manner the intelligent human beings think (Nilsson, 2014, p. 3). The main thrust of the artificial intelligence is within the advancement or development of various computerized functionalities, which are linked with several types of human intelligence like learning, problem solving and reasoning. The programs of artificial intelligence could easily absorb the newer modifications by subsequently putting high independent pieces of relevant information and thus modification of information is quite easier (Steels & Brooks, 2018, p. 7). The most significant applications of the artificial intelligence are gaming, natural language processing, expert systems, vision systems, speech recognition system, handwriting recognition system, intelligent robots and many more.

The five distinct types of applications of artificial intelligence technology for the benefit of the organization of Logi World Pvt Ltd are listed below:

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i) Machine Vision: The first application of artificial intelligence is machine vision, which is responsible for dealing with all important procedures of systems to gain high understanding level from the digital images or videos. The tasks are made completely automated and thus the respective human visual system could be executed easily (Webber & Nilsson, 2014, p. 5). Various methods like processing or acquiring of information is extremely easier with this specific application and the symbolic or numerical information helps in taking proper decisions. Due to the constant tracking of products, machine vision is suitable for a logistics organization.

ii) Speech Recognition System: The second significant application of the artificial intelligence is the presence of speech recognition system. There is a significant ability to obtain more programs as well as machines that help to recognize the various words or phrases within the spoken language and then conversion of all these phrases or words is possible into the respective machine readable formats (Nourani, Baghanam, Adamowski & Kisi, 2014, p. 361). This particular speech recognition software consists of the limited vocabulary of phrases or words and hence the identification of that person. The natural speech is accepted in this system. The accuracy of performance is checked and thus it is extremely effective and efficient for logistics company.

iii) Expert System: The expert system is the third important AI based application. This is the digital system, which helps in emulating the significant capability of taking decisions and not involving the human beings at any cost. The complex problems are easily solved with this system by logical reasoning (Bench-Capon, 2014, p. 2). There are two subsystems of this expert system, which are knowledge base as well as inference base. The human efforts are reduced to a great level with the presence of this expert system.

Definition of Artificial Intelligence

iv) Optical Character Recognition System: Another popular application of artificial intelligence is optical character recognition system. It is the mechanical transformation of product’s images and hence the identification of printed texts into the encoded texts either from subtitle types of texts or scanned documents that are superimposed on the images (Pannu, 2015, p. 82). This application is being utilized as the major forms of the entry of information from information records and then is utilized within the machine processes like machine translation, cognitive computing, text mining, key data and text into speech conversion.

v) Video Manipulation: This is the fifth and the final application type of artificial intelligence technology. Video manipulation system is the most significant variety of the media manipulation, which is responsible for targeting the digital videos only after the combination of all the main techniques of video manipulation or editing or the auxiliary methods such as the face recognition or the fingerprint recognition system (Warwick, 2013, p. 6). Each and every outcome of the application ranges from numerous artistic videos that could be produced to give aesthetic effect to videos for the mass manipulation or propaganda. Logistics industry can easily track the products by taking videos of those items.

The major and the most significant examples of the popular companies within Australia, which are using the applications of artificial intelligence within the businesses, are Telstra, Woolworrths, Flamingo, Daise and Lisa. Some other organizations are also present for this (Small, Cottrell & Tanenhaus, 2013, p. 5). These above mentioned organizations have got better efficiency as well as effectiveness after the successful implementation of artificial intelligence based applications. The logistics companies of Australia like Air Road, Glen Cameron Group, SCT Logistics and various others have solely involved the various applications of artificial intelligence for the success of their businesses.

Amongst the popular and important five distinct applications of artificial intelligence, the proposal for three specific applications of this technology for Logi World Pvt Ltd in the upcoming 5 years is listed below:

I) Machine Vision System: The first and the foremost artificial intelligence based application for this company of Logi World Pvt Ltd is the machine vision system or computer vision system (Paris, Swartout & Mann, 2013, p. 6). These systems are responsible for understanding, interpreting as well as comprehending the visual inputs on the systems or computers. For the logistics industry, machine vision system is the best application. The computer software could be utilized for the purpose of identifying and evaluating the faults or errors. Moreover, they could even gather information regarding the rivals or competitors. This would be helpful for them to know about the current position of the company easily and promptly. The accurate and perfect automatic analysis as well as inspection is provided in this particular application on the basis of images and videos (Morav?ík et al., 2017, p. 510). It provides the analysis of some applications like process control, robot guidance and even automatic inspection.

Five Different Types of Application

i) The major benefits of this machine vision for the organization of Logi World Pvt Ltd are listed below:

a) Automatic Analysis: Machine vision application of AI is responsible to provide automatic and detailed analysis for the users easily. This analysis is done on the basis of images and videos (Maleki & Askarzadeh, 2014, p. 9980).

b) Cost Effectiveness: Another important benefit of the machine vision application is that it is absolutely cost effective and hence can be easily afforded by everyone.

c) High Persistent: The third significant advantage of this machine vision is that it provides high persistent for the users and hence Logi World Pvt Ltd would be benefitted.

ii) The major disadvantages of this machine vision for the organization of Logi World Pvt Ltd are listed below:

a) Constant Requirement of Expert Labour: The most significant demerit of the machine vision for this company is that there is a constant requirement of the expert labour (Spiro, Bruce & Brewer, 2017, p. 3). This increases the resources of time as well as cost to a high level.

b) Lacking Sensitivity: Another important demerit of this particular organization of Logi World Pvt Ltd is that it does not comprise of the sensitivity and hence the users try to avoid this application.

II) Speech Recognition System: The next suitable and proposed application of artificial intelligence for Logi World Pvt Ltd is speech recognition system. This is again one of the most important and significant applications of AI that helps to verify the authorized or authenticated users only after matching the speeches or words and phrases of those users (Bond & Gasser, 2014, p. 8). The main advantage of this application for this specific organization is that it is extremely safe and secured and hence could be used for verification of correct person.

i) The major benefits of this speech recognition system for the organization of Logi World Pvt Ltd are listed below:

a) Much Easier: Speech recognition system is extremely easier in comparison to the other AI based applications.

b) Highly Secured: The second advantage of the speech recognition system is that it is highly secured and thus verification is easily done without many issues (Warwick, 2013, p. 9).

ii) The major disadvantages of this speech recognition system for the organization of Logi World Pvt Ltd are listed below:

a) Possibility of More Errors: The most significant disadvantage of this speech recognition system for Logi World Pvt Ltd would be that there is a high possibility of more errors and biases.

b) Utilization of More Memory: Another important demerit of the speech recognition system is that it utilizes more memory for the storage of data or relevant information (Pannu, 2015, p. 84).

III) Expert Systems: The third suitable and proposed AI based application for the organization of Logi World Pvt Ltd is expert system. This expert system is the significant computerized or digitalized application that is designed with the core or major purpose to solve all types of complex problems in any specific domain (Morav?ík et al., 2017, p. 513). For a logistics organization, the efficiency and effectiveness of the expert systems are properly enhanced and thus the company is benefitted from it.

i) The major benefits of this particular expert system for this organization of Logi World Pvt Ltd are listed below:

a) Consistent: Expert system is absolutely consistent and thus the knowledge and logic is easily implemented within the system. The main advantage that Logi World Pvt Ltd might get from this application is that it reduces the complexity of decision making process.

b) Easy Access of Data: The second important advantage of the expert system for the Logi World Pvt Ltd organization is that it helps to access the confidential data or information easily and promptly and thus the bulk data can be stored here.

ii) The major disadvantages of this particular expert system for this organization of Logi World Pvt Ltd are listed below:

a) No Data Integrity: Expert system does not provide data integrity for the users and hence Logi World Pvt Ltd might lose their data (Maleki & Askarzadeh, 2014, p. 9983). Moreover, regular maintenance is required in this application.

b) Consuming Extra Resources: The resources such as cost and time are consumed extra and thus the costs are increased here. Logi World Pvt Ltd would be incurring extra costs with the involvement of this application.

Conclusion

Therefore, it can be concluded from the report that, there is a high probability as well as possibility of innovation and advancement in a specific business, if the applications of artificial intelligence are included. AI is the biggest development of information technology that has reduced the human effort to a great level. The several issues or problems related to the security of data and management of data are easily resolved with the involvement of this technology. The human beings are getting the ability of communication with other humans or other AI based machines. This communication could be done in several languages and even could be translated from any language to the other. The best example of this communication ability of artificial intelligence is chatbot. Another advantage of these machines is that they do not comprise of emotions. They never get tired, or feel anything or get bored. Hence, the recursive tasks could be easily done by them in the replacement of human beings. Moreover, the decisions of these machines are absolutely not affected by the emotions and are completely dependent on the analysis of data. Several industries like health care, marketing, logistics, finance are adopting these applications within their businesses for keeping the steady pace with all the latest trends in AI and thus maximizing their competitive advantages. The above report has provided the clear image of artificial intelligence as well as the applications of artificial intelligence for a famous Australian company of logistics, Logi World Pvt Ltd. Moreover, three applications are proposed for this particular company for the purpose of increasing their business.

Logi World Pvt Ltd is a logistics organization and recently is considering to expand their business. For this purpose, the management of this organization has decided to include the technology of artificial intelligence and its services in their business. However, there are some recommendations that should be considered by them before implementing the applications. The three distinct recommendations for Logi World Pvt Ltd are listed below:

i) Implementing Machine Vision: Machine vision is considered as one of the best applications of AI that mainly deals with all procedures in a business for gaining higher understanding level from few digital images and videos. As Logi World Pvt Ltd is a logistics company, they can easily acquire, process, analyze or extract data of high dimension within real time and produce symbolic and numerical information for decision making.

ii) Implementing Expert Systems: These are the second popular applications of AI that is responsible for providing the core ability to take accurate decisions in replacement of the human experts. Logi World Pvt Ltd could solve the several complex problems by basic reasoning.

iii) Release of Trials: Another important recommendation for the organization of Logi World Pvt Ltd is that before implementing the applications of artificial intelligence, there should be a run of all released trials with the core purpose that the errors as well as biases are not amplified for algorithm issues.

Reference List

Bench-Capon, T. J. (2014). Knowledge representation: an approach to artificial intelligence (Vol. 32). Elsevier. Retrieved from https://books.google.co.in/books?hl=en&lr=&id=u8vSBQAAQBAJ&oi=fnd&pg=PP1&dq=artificial+intelligence&ots=NRKRjZ1ORm&sig=6-a1bYSkO6973PMaq672JQQZPOw#v=onepage&q=artificial%20intelligence&f=false

Bond, A. H., & Gasser, L. (Eds.). (2014). Readings in distributed artificial intelligence. Morgan Kaufmann. Retrieved from https://books.google.co.in/books?hl=en&lr=&id=jp6jBQAAQBAJ&oi=fnd&pg=PP1&dq=artificial+intelligence&ots=0p_JXVeIaS&sig=amXbk5YYOVwUPA5oarfeqNmSeOg

Maleki, A., & Askarzadeh, A. (2014). Comparative study of artificial intelligence techniques for sizing of a hydrogen-based stand-alone photovoltaic/wind hybrid system. international journal of hydrogen energy, 39(19), 9973-9984. Retrieved from https://s3.amazonaws.com/academia.edu.documents/46599862/Comparative_study_of_artificial_intellig20160618-944-2jfrfn.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1537299348&Signature=ZSwUvPwJutRkD8qLvPSawzNlkVI%3D&response-content-disposition=inline%3B%20filename%3DComparative_study_of_artificial_intellig.pdf

Michalski, R. S., Carbonell, J. G., & Mitchell, T. M. (Eds.). (2013). Machine learning: An artificial intelligence approach. Springer Science & Business Media. Retrieved from https://www.mli.gmu.edu/papers/81-85/83-04.pdf

Morav?ík, M., Schmid, M., Burch, N., Lisý, V., Morrill, D., Bard, N., … & Bowling, M. (2017). Deepstack: Expert-level artificial intelligence in heads-up no-limit poker. Science, 356(6337), 508-513. Retrieved from https://science.sciencemag.org/content/356/6337/508.abstract

Nilsson, N. J. (2014). Principles of artificial intelligence. Morgan Kaufmann. Retrieved from https://stacks.stanford.edu/file/druid:zd294jv9941/zd294jv9941.pdf

Nourani, V., Baghanam, A. H., Adamowski, J., & Kisi, O. (2014). Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review. Journal of Hydrology, 514, 358-377. Retrieved from https://www.mcgill.ca/bioeng/files/bioeng/applications_of_hybrid_wavelet-artificial_intelligence_models_in_hydrology.pdf

Pannu, A. (2015). Artificial intelligence and its application in different areas. Artificial Intelligence, 4(10), 79-84. Retrieved from https://www.ijeit.com/Vol%204/Issue%2010/IJEIT1412201504_15.pdf

Paris, C. L., Swartout, W. R., & Mann, W. C. (Eds.). (2013). Natural language generation in artificial intelligence and computational linguistics (Vol. 119). Springer Science & Business Media. Retrieved from https://books.google.co.in/books?hl=en&lr=&id=4vbiBwAAQBAJ&oi=fnd&pg=PR15&dq=artificial+intelligence&ots=wFZWA7gvr6&sig=ei0dhbWVuOXREbdyEutxCBylBSA#v=onepage&q=artificial%20intelligence&f=false

Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,. Retrieved from https://thuvien.thanglong.edu.vn:8081/dspace/bitstream/DHTL_123456789/4010/1/CS503-2.pdf

Small, S. L., Cottrell, G. W., & Tanenhaus, M. K. (Eds.). (2013). Lexical Ambiguity Resolution: Perspective from Psycholinguistics, Neuropsychology and Artificial Intelligence. Elsevier. Retrieved from https://books.google.co.in/books?hl=en&lr=&id=-J-fAgAAQBAJ&oi=fnd&pg=PP1&dq=artificial+intelligence&ots=6RJdXLD5bk&sig=whc_z-azfSpDyx9qUkUU7gs6rbE#v=onepage&q=artificial%20intelligence&f=false

Spiro, R. J., Bruce, B. C., & Brewer, W. F. (2017). Theoretical issues in reading comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence and education. Routledge. Retrieved from https://www.taylorfrancis.com/books/9781351607247

Steels, L., & Brooks, R. (2018). The artificial life route to artificial intelligence: Building embodied, situated agents. Routledge. Retrieved from https://www.taylorfrancis.com/books/e/9781351001878

Warwick, K. (2013). Artificial intelligence: the basics. Routledge. Retrieved from https://content.taylorfrancis.com/books/download?dac=C2009-0-24897-0&isbn=9781136629839&format=googlePreviewPdf

Webber, B. L., & Nilsson, N. J. (Eds.). (2014). Readings in artificial intelligence. Morgan Kaufmann. Retrieved from https://books.google.co.in/books?hl=en&lr=&id=tySjBQAAQBAJ&oi=fnd&pg=PP1&dq=artificial+intelligence&ots=GvGuk5aU3i&sig=pFqte1bzChgrj9wTBPW305WzbOY#v=onepage&q=artificial%20intelligence&f=false

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