Develop a comprehensive Organizational Behaviour analysis for a Canadian company of your choice. With the help of the concepts learned in this course, the students will critically analyze an OB System

Q1. As a new graduate of UCW working for the Centre of Diseases in BC, you have been tasked to apply ML to analyze a new variant of an infectious disease. Your algorithm is designed to positively identify DX which can be mistaken for DY or DZ variants. The following confusion matrix is provided as a result of this model with ROC Area of 0.991.

Use the Confusion Matrix above to answer the following questions:

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a)     Determine the accuracy rate of the classifier (1.5 Marks)

Accuracy = 



b)    Calculate the Sensitivity/Recall rate for the positive class (1.5 Marks)

Recall =

c)    Calculate the Precision rate of the classifier (1.5 Marks)

Precision =



d) The algorithm has a Specificity of 0.9. Explain in layman terms what Specificity mean in this context. Is this good? (2 Marks)



e)     As a Business Analyst expert, critically analyze and explain the usefulness of the classifier in predicting infectious diseases given the above calculated performance measures. (2 Marks)

f)    The algorithm is able to use unsupervised clustering that yielded the results below. Did the cluster algorithm do a good job in this example? Explain your answer. (1.5 Marks)

Develop a comprehensive Organizational Behaviour analysis for a Canadian company of your choice. With the help of the concepts learned in this course, the students will critically analyze an OB System 1

BC Technocrats (BCT) Associates, a multi-national law firm based in Vancouver, Canada purchased a legal firm that opened in Toronto 5 years ago promising its clients fast and affordable services.  BCT Associates has taken Vancouver by the storm with its AI enabled system called LawProf that taps into the BC Provincial court and Canada Supreme courts archives where all previous legal rulings have been filed for the past 20 years. The massive DB enables law associates at the new firm sift through massive amounts of legal text and precedents to match their clients’ needs within minutes, increasing efficiency and productivity in the small firm. When a perfect match is not met, the system asks the clients additional questions in order to narrow the search and find the closest fit legal cases in the database and displays the top rulings handed down in the courts. The AI system is also able to pick up rulings that were overturned by higher courts and provide adequate suggestions. 

The law firm uses a component of the LawProf AI system to summarize large amount of text that is used for their court filings for their clients based on the records available in the archive, saving the firm a lot of time and clients a lot of money. Any client can sign up online and answer a few questions prompted by an intelligent program integrated to the main LawProf system that asks general demographic questions and the type of law associate they wish to see before booking them a date and time for an appointment. However, one of the drawbacks of the LawProf system is that if two or more associates have the same qualifications/specialty, then it does not know who to book the appointment with as it deems that to be a “grey area”. The IT manager feels that an advance AI algorithm can be added to the system to correct this.

Seeing the success of their partner firm in Toronto, BCT Associate plans to install the LawProf AI system used in Vancouver to all their other law firm’s partners across other Canadian provinces and integrate them to their respective national archives. This has been scheduled to happen by Spring of next year. 

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1. Briefly describe the 3 types of Intelligent systems being used at BCT Associates? Provide evidence to support your answer. (4.5 Marks)

a)

b)

c)

2. An IT officer at the law firm described the system as being a type of Expert Systems technology that uses heuristics to match client cases with the thousands of previous cases in the database. Discuss and provide at least 2 evidences as to whether the IT officer is right or wrong in his assessment. (4 Marks)

Ans:

Evidence 1:

Evidence 2:

3. As an expert in Business Analytics, discuss what type of AI technology the IT manager can instal to correct the “grey area” issue. (1.5 Marks)