Ce diaporama a bien été signalé.
Le téléchargement de votre SlideShare est en cours. ×

Applications of artificial intelligence (AI) models for management decision making under uncertainty - Festus Oderanti

Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité

Consultez-les par la suite

1 sur 38 Publicité

Applications of artificial intelligence (AI) models for management decision making under uncertainty - Festus Oderanti

Télécharger pour lire hors ligne

Presentation at the HEA-funded workshop 'Exploring innovative approaches to experiential teaching and learning in management decision making education'

This one day workshop provided a platform to critically examine various innovative approaches to experiential teaching/learning in Management Decision Making in order to provoke and stimulate educators. The workshop consisted of invited speeches, participants’ presentations, group debate and discussion, and panel Q&A. There were also opportunities for professional networking and socialising.

This presentation is part of a related blog post that provides an overview of the event:

For further details of the HEA's work on active and experiential learning in the Social Sciences, please see: http://bit.ly/17NwgKX

Presentation at the HEA-funded workshop 'Exploring innovative approaches to experiential teaching and learning in management decision making education'

This one day workshop provided a platform to critically examine various innovative approaches to experiential teaching/learning in Management Decision Making in order to provoke and stimulate educators. The workshop consisted of invited speeches, participants’ presentations, group debate and discussion, and panel Q&A. There were also opportunities for professional networking and socialising.

This presentation is part of a related blog post that provides an overview of the event:

For further details of the HEA's work on active and experiential learning in the Social Sciences, please see: http://bit.ly/17NwgKX

Publicité
Publicité

Plus De Contenu Connexe

Diaporamas pour vous (20)

Similaire à Applications of artificial intelligence (AI) models for management decision making under uncertainty - Festus Oderanti (20)

Publicité

Plus par The Higher Education Academy (20)

Plus récents (20)

Publicité

Applications of artificial intelligence (AI) models for management decision making under uncertainty - Festus Oderanti

  1. 1. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Applications of Artificial Intelligence (AI) Models for Management Decision Making under Uncertainty Festus Oderanti April 2014 Festus Oderanti AI for Management Decision Making under Uncertainty
  2. 2. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Outline 1 Business and Decisions under Uncertainty 2 Examples of AI in Business Success Stories of AI in Business 3 Artificial Intelligence (AI) Techniques What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets 4 Experiential Teaching and Learning Strategies for AI ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes 5 Conclusion 6 Further Reading Festus Oderanti AI for Management Decision Making under Uncertainty
  3. 3. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Introduction: Business and Decisions Effective and efficient strategic decision making is the backbone for the success of a business organisation among its competitors. Results of these decision making processes grossly determine whether the business will continue to survive or not. NTRODUCTION: BUSINESS AND DECISIONS Effective and efficient strategic  decision making is the  backbone for the success of a  business organisation among  its competitors. Results of these decision  making processes grossly  determine whether the  business will continue to  survive or not. Source: www.the-ceo-coach.com Festus Oderanti AI for Management Decision Making under Uncertainty
  4. 4. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Business and Decisions Cont.. In an uncertain economy, everybody has a responsibility to update and enhance their skills. Therefore management students needs to be aware of the complexity of the business decision processes. There are several uncertainties in business that entrepreneurs struggle with when making decisions. Festus Oderanti AI for Management Decision Making under Uncertainty
  5. 5. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Business and Decisions Cont.. Research has proven that these uncertainties could be effectively and efficiently grasped using artificial intelligence (AI) techniques. These quantitative decision techniques are also quicker and cheaper than the qualitative methods! Business and Decisions Cont.. Source: watchdog.org Festus Oderanti AI for Management Decision Making under Uncertainty
  6. 6. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Success Stories of AI in Business Examples of AI in Business: Finance Mgmt Bank use AI systems to organize operations, invest in stocks, and manage properties. In August 2001, robots beat humans in a simulated financial trading competition. Financial institutions have long used artificial neural network systems to detect charges or claims outside of the norm, flagging these for human investigation. XAMPLES OF AI IN BUSINESS: FINANCE MGMT Bank use AI systems to organize  operations, invest in stocks, and  manage properties.  n August 2001, robots beat humans  n a simulated financial trading  competition. Financial institutions have long used  artificial neural network systems to  detect charges or claims outside of  the norm, flagging these for human  nvestigation. Source: deweymonster.com Festus Oderanti AI for Management Decision Making under Uncertainty
  7. 7. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Success Stories of AI in Business Online and Telephone Customer Service AI is implemented in automated online assistants that can be seen as avatars on web pages. It can avail for enterprises to reduce their operation and training cost. A major underlying technology to such systems is natural language processing. AI used in answering machines of call centres e.g speech recognition software EXAMPLES IN BIZ CONT: ONLINE AND TELEPHONE CUSTOMER SERVICE AI is implemented in automated  online assistants that can be seen as  avatars on web pages. It can avail for enterprises to reduce  their operation and training cost. A major underlying technology to  such systems is natural language  processing. AI used in answering machines of call  centres e.g speech recognition  software Source: wikimedia.org Festus Oderanti AI for Management Decision Making under Uncertainty
  8. 8. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Success Stories of AI in Business Examples of AI in Biz: Hospital Mgmt Many clinics use AI to organize bed schedules, staff rotation, and provide medical information. Artificial neural networks are used as clinical decision support systems for medical diagnosis, Other tasks include: Computer-aided interpretation of medical images Heart sound analysis MPLES OF AI IN BIZ: HOSPITAL MGMT inics use AI to organize bed  es, staff rotation, and provide   information. l neural networks are used  al decision support  s for medical diagnosis, asks include: uter‐aided interpretation of  cal images  sound analysis Source: casaresforeignresident.blogspot.com Festus Oderanti AI for Management Decision Making under Uncertainty
  9. 9. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Success Stories of AI in Business Examples in Biz Cont: Others. Websites like LinkedIn and Google use AI and analytics to make behind-the-scenes connections among profiles. Tech companies like IBM, Intel, and HP use AI and analytics to strengthen management, improve the way they manufacture, and reduce resource use. The U.S. Army uses AI and analytics to plan the delivery of supplies and to fight terrorism. Relief agencies use AI and analytics to plan for disasters When disaster strikes, to rush food and medicine to those in need Festus Oderanti AI for Management Decision Making under Uncertainty
  10. 10. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Success Stories of AI in Business Other Application of AI in Biz. Data Mining Automation of Distribution Marketing Analysis Pattern Classification Sales forecasting Social media Environmental work, Product development Advertising/marketing Others Festus Oderanti AI for Management Decision Making under Uncertainty
  11. 11. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Success Stories of AI in Business Success Stories of AI in Business. One of the great success stories involves work done by the operations research (OR) group at American Airlines (AA). In 1982, Thomas Cook joined a group of 12 OR analysts Today the OR group is called Sabre and employs 10,000 professionals worldwide. SUCCESS STORIES OF AI IN BUSINESS. One of the great success stories  nvolves work done by the  operations research (OR) group  at American Airlines (AA). n 1982, Thomas Cook joined a  group of 12 OR analysts Today the OR group is called  Sabre and employs 10,000  professionals worldwide. Source: flytobarcelona.org Festus Oderanti AI for Management Decision Making under Uncertainty
  12. 12. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Success Stories of AI in Business Success Stories of AI in Business Cont. The group used AI techniques to determine how many seats to sell at discounts and full fare. This revenue management system at AA generates nearly $1 billion annually in incremental revenue. Today, virtually every airline uses some sort of revenue mgmt system The cruise, hotel, and car rental industries etc SUCCESS STORIES OF AI IN BUSINESS CONT. The group used AI techniques to  determine how many seats to sell at  discounts and full fare. This revenue management system  at AA generates nearly $1 billion  annually in incremental revenue. Today, virtually every airline uses  some sort of revenue mgmt system The cruise, hotel, and car rental  industries etc Source: holidayhypermarket.co.uk Festus Oderanti AI for Management Decision Making under Uncertainty
  13. 13. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Artificial Intelligence (AI) Techniques What is artificial intelligence? AI is the human-like intelligent models for decision making. It deals with making intelligent models Examples of AI techniques: Fuzzy logic models Neural networks models Bayesian networks Game theory Others AI techniques Any combination of the above ARTIFICIAL INTELLIGENCE (AI) TECHNIQUES . hat is artificial intelligence? AI is the human‐like intelligence models  for decision making. It deals with making intelligent models amples of AI techniques: Fuzzy logic models Neural networks models Bayesian networks Game theory  Others AI techniques Any combination of the above  Source:wordpress.com Festus Oderanti AI for Management Decision Making under Uncertainty
  14. 14. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Examples of AI: Fuzzy Logic concepts Workshop: How would you rate the present level of inflation in the country? e.g Very high, high, medium, low, very low etc? Similarly, how would you rate the Interest rate? Also how would you rate the room temperature? How many people would you classify as “tall" in this room? Please take a note and write down you answer and the basis for your judgment Festus Oderanti AI for Management Decision Making under Uncertainty
  15. 15. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Example of AI Techniques: Fuzzy Logic Concepts Definition Fuzzy logic is (FL) a problem solving technique introduced to deal with vague or imprecise problems Definition A fuzzy set is a set containing elements that have varying degree of memberships in the set Definition Provides a framework that attempts to define a natural way of dealing with problems Festus Oderanti AI for Management Decision Making under Uncertainty
  16. 16. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Example of AI Techniques: Fuzzy Logic Concepts Definition Fuzzy logic is (FL) a problem solving technique introduced to deal with vague or imprecise problems Definition A fuzzy set is a set containing elements that have varying degree of memberships in the set Definition Provides a framework that attempts to define a natural way of dealing with problems Festus Oderanti AI for Management Decision Making under Uncertainty
  17. 17. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Example of AI Techniques: Fuzzy Logic Concepts Definition Fuzzy logic is (FL) a problem solving technique introduced to deal with vague or imprecise problems Definition A fuzzy set is a set containing elements that have varying degree of memberships in the set Definition Provides a framework that attempts to define a natural way of dealing with problems Festus Oderanti AI for Management Decision Making under Uncertainty
  18. 18. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Difference between binary and fuzzy sets A key difference between crisp and fuzzy sets is their membership functions. Binary logic only admits the opposites of true and false It does not admit degrees of truth in between the extremes However, uncertainty permeates all scientific endeavours E.g we can easily assess when someone is over 1.8m tall For example, if “tall" is a set defined as heights (h) ≥ 1.8m Festus Oderanti AI for Management Decision Making under Uncertainty
  19. 19. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Difference between Binary and Fuzzy Sets cont For example, if “tall" is a set defined as heights (h) ≥ 1.8m In a binary sense, the person either is or is not: [0, 1], T/F A computer would not recognize Mr B with h = 1.78 as being a member of the set “tall" The degree to which Mr B approaches h of 1.8m is fuzzy Classical set objects satisfy precise properties of membership Fuzzy set objects satisfy imprecise properties of membership Festus Oderanti AI for Management Decision Making under Uncertainty
  20. 20. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Difference between binary and fuzzy sets cont.DIFFERENCE BETWEEN BINARY AND FUZZY SETS CONT. Degree of  membership of “tall  men” Name Height  (m) Crisp  (binary) Fuzzy Harry 2.2 1 1.00 Bill 2.1 1 1.00 Barrack 1.9 1 1.00 Bush 1.8 1 1.00 Peter 1.7 0 0.94 Kate 1.2 0 0.66 William 1.1 0 0.61 Festus 0.2 0 0.11 • The elements of the fuzzy set “tall men” are all men, but their degrees of membership depend on their height as shown in the table. Source: www.doc.ic.ac.uk DIFFERENCE BETWEEN BINARY AND FUZZY SETS CONT. Degree of  membership of “tall  men” Name Height  (m) Crisp  (binary) Fuzzy Harry 2.2 1 1.00 Bill 2.1 1 1.00 Barrack 1.9 1 1.00 Bush 1.8 1 1.00 Peter 1.7 0 0.94 Kate 1.2 0 0.66 William 1.1 0 0.61 Festus 0.2 0 0.11 Source: www.doc.ic.ac.uk The elements of the fuzzy set “tall men" are all men, but their degrees of membership depend on their height as shown in the table. Festus Oderanti AI for Management Decision Making under Uncertainty
  21. 21. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Difference between binary and fuzzy sets cont. Instead of just tall or not, true or false, 0 or 1 in binary logic, fuzzy logic permits degree of tallness E.g: very very tall, very tall, tall, medium, slighly short, short, very short, very very short, etc DIFFERENCE BETWEEN BINARY AND FUZZY SETS CONT. Instead of just tall or not, true or false, 0 or 1 in binary logic, fuzzy logic permits degree of tallness E.g very very tall, very tall, tall, medium, slighly short, short, very short, very very short, etc • The elements of the fuzzy set “tall men” are all men, but their degrees of membership depend on their height. Source: metafilter.com Festus Oderanti AI for Management Decision Making under Uncertainty
  22. 22. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Difference between binary and fuzzy sets cont. Fuzzy decision making system (FDMS) uses a collection of fuzzy membership functions and decision rules Rules solicited from experts in the field to reason about data. Examples of fuzzy rules will be shown in next slide FUZZY DECISION MAKING SYSTEM Fuzzy decision making  system (FDMS) uses a  collection of fuzzy  membership functions and  decision rules Rules solicited from experts  in the field to reason about  data.  Examples of fuzzy rules will  be shown in next slide Figure: Fuzzy decision making system Input (crisp) Fuzzific ation process Fuz zy Deci sion Defuzzif ication process Output (crisp) Fuzzy Rule Base Festus Oderanti AI for Management Decision Making under Uncertainty
  23. 23. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading What is AI Artificial Intelligence Examples of AI: Fuzzy Logic Difference between binary and fuzzy sets Example of Fuzzy Rules in Wage Increase Negotiation Decisions IF (Inflation is Very Low) AND (Profit is Low) THEN (Wage Increase is Very Low) IF (Inflation is High) AND (Profit is Medium) THEN (Wage Increase is High) IF (Inflation is High) AND (Profit is High) THEN (Wage Increase is Medium) Festus Oderanti AI for Management Decision Making under Uncertainty
  24. 24. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes Experiential Teaching and Learning (ETL) Strategies of AI to Mgmt. Students The word experiential essentially means learning & development are achieved through personally determined experience and involvement rather than “chalk-and-talk" (businessballs.com). ETL also regarded as growing a person from the inside, whereas conventional teaching and training is the transfer of capability into a person from outside. EXPERIENTIAL TEACHING AND LEARNING (ETL) STRATEGIES OF AI TO MGMT. STUDENTS The word experiential essentially  means  learning & development  are achieved through personally  determined experience and  involvement rather than 'chalk‐ and‐talk' (businessballs.com). ETL also regarded as growing a  person from the inside, whereas  conventional teaching and  training is the transfer of  capability into a person from  outside. Figure: The Experiential Leaning Cycle and Basic Learning Styles Source: (Kolb, 1984). Festus Oderanti AI for Management Decision Making under Uncertainty
  25. 25. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes Experiential Teaching and Learning (ETL) Strategies of AI to Mgmt. Students Cont. Most mgmt students have natural tendency to resist AI. They believe that AI is too technical for them and therefore should be restricted to Science and Eng. students ELT helps to motivate mgmt students in learning and developing AI skills EARNING (ETL) STRATEGIES FOR INTRODUCING AI TO MGMT. STUDENTS ost mgmt students have atural tendency to resist AI. hey believe that AI is too chnical for them and herefore should be restricted to cience and Eng. students LT helps to motivate mgmt udents in learning and eveloping AI skills Source: www.rottenecards.com Festus Oderanti AI for Management Decision Making under Uncertainty
  26. 26. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes ETL Strategies of AI to Mgmt. Students: A Case Study of BMG204 Sample AI assignment (coursework): To prepare a business report on how fuzzy logic and its concepts could be used to capture economic uncertainty in the nation’s budget preparation for the year 2015. This involve other AI tasks and models development Other information and necessary details were given to the student. STRATEGIES OF AI TO MGMT. STUDENTS: A CASE STUDY OF BMG204 AI assignment/coursework: epare a business report on how y logic and its concepts could ed to capture economic rtainty in the nation’s budget aration for the year 2015. involve other AI tasks and ls development r information and necessary ls were given to the student. Source: rakadd.wordpress.com Festus Oderanti AI for Management Decision Making under Uncertainty
  27. 27. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes Sample Complaints from the Students “..most people in professional field don’t use the fuzzy logic concept because it is too hard for them to understand, so I am concerned to how business students are supposed to understand it.." Student A. “..I am slightly worried the coursework we have been assigned is seeming problematic.." Student B “..I don’t really know how fuzzy logic or AI is relevant to business because I was told that it is only used in engineering.." Student C “..I feel that Festus has a very high expectation of our work and I m worried I will not achieve my desired grade..". “Many of us feel slightly overwhelmed with the level of knowledge expected from us.." SAMPLE COMPLAINTS FROM THE STUDENTS ..most people in professional field don’t use the fuzzy logic concept because it is oo hard for them to understand, so I am oncerned to how business students are upposed to understand it.. Student A”. …I am slightly worried the coursework we have been assigned is seeming problematic.. Student B” …I don’t really know how fuzzy logic or AI s relevant to business because I was told hat it is only used in engineering.. Student C” …I feel that Festus has a very high expectation of our work and I m worried I will not achieve my desired grade..”. …Many of us feel slightly overwhelmed with the level of knowledge expected from us.." Source:www.neatorama.com Festus Oderanti AI for Management Decision Making under Uncertainty
  28. 28. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes RE: Students Resistance to AI Workshop: In your opinion, what are the best strategies to address the students’ concerns in the previous slide? Strategy 1? Strategy 2? Strategy 3? Strategy 4? Strategy 5? Festus Oderanti AI for Management Decision Making under Uncertainty
  29. 29. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes The Workable ETL Strategies to Motivate Mgmt Students on AI Learner is central Facilitation must be light and subtle Find/create experiential learning opportunities Reactions to experiences vary so don’t pre-judge Single events can enable several different learning effects The activity must be real and engaging - not based on artificial impact Ensure activities allow adequate and meaningful reviews Use stimulating questions in reviews, especially for groups discussions Resist temptation to give answers - ask questions only Have faith in people’s ability to learn for themselves Getting started Festus Oderanti AI for Management Decision Making under Uncertainty
  30. 30. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes Sample Students Feedback after above ETL Strategies “..I just wanted to take this opportunity to thank you for spending time last Wednesday and putting on an extra tutorial. It was really helpful.." Student A “..Thank you very much for organising the tutorial tonight, it clarified things up.." Student B. “..Thank you for making time for your extra tutorial it was very useful and cleared up the uncertainties that I was having.." Student C.. “..Thank you for organising the tutorial this evening, my colleagues and I are currently in the library with a much better understanding.." Student D. Festus Oderanti AI for Management Decision Making under Uncertainty
  31. 31. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes Results! More than 10% of students scored above 70% mark Four of them scored 80% How? Why? Because despite UG, the reports seem qualify (though with slight modification) for presentation at relevant AI conferences! Many performed beyond my expectation. Majority of the grades fall within 55% to 65% Less than 12% scored between 40% and 50% RESULTS! More than 10% of students  scored above 70% mark Four of them scored >= 80% How? Why? Because despite UG, the reports  seem qualify (though with slight  modification) for presentation at  relevant AI conferences! Many performed beyond my  expectation. Majority of the grades fall within  55% to 65%  Less than 12% scored between  Source: carmarthenshireyouth.co.uk Festus Oderanti AI for Management Decision Making under Uncertainty
  32. 32. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading ELT and AI: A Case Study of BMG204 Resistance to AI ETL as Motivating Strategies Outcomes Examples of BMG204 Students’ Models EXAMPLES OF BMG204 MODELS • Examples of AI models developed by BMG204 students on budget preparation using Matlab. EXAMPLES OF BMG204 MODELS • Examples of AI models developed by BMG204 students on budget preparation using Matlab. Examples of AI models developed by BMG204 students on budget preparation using Matlab. Festus Oderanti AI for Management Decision Making under Uncertainty
  33. 33. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Conclusion There is a strong evidence that business mgmt students may attempt to resist AI techniques and related concepts. However, adopting appropriate experiential teaching and learning strategies would help to motivate them to embrace the concepts. The management students could perform better than their science students and engineering counterparts They have proved to be more competent in applying AI in exciting ways to real-world situations and everyday business decision making. Festus Oderanti AI for Management Decision Making under Uncertainty
  34. 34. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Further Reading Festus Oderanti, Feng Li and Philippe De Wilde, (2012), Application of Strategic Fuzzy Games to Wage Increase Negotiation & Decision Problems, Jour. of Expert Systems with Applications, 2012 39(12), 11103-11114 . Festus Oderanti and Philippe De Wilde (2011); Automatic Fuzzy Decision Making System with Learning for Competing & Connected Businesses, Expert Systems with Applications 2011, 38(12), 14574-14584. Festus Oderanti and Philippe De Wilde (2010); Dynamics of Business Games with Management of Fuzzy Rules for Decision Making, 2010, International Journal of Production Economics, 128 (1): 96-109. www.businessballs.com Festus Oderanti AI for Management Decision Making under Uncertainty
  35. 35. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Further Reading Festus Oderanti, Feng Li and Philippe De Wilde, (2012), Application of Strategic Fuzzy Games to Wage Increase Negotiation & Decision Problems, Jour. of Expert Systems with Applications, 2012 39(12), 11103-11114 . Festus Oderanti and Philippe De Wilde (2011); Automatic Fuzzy Decision Making System with Learning for Competing & Connected Businesses, Expert Systems with Applications 2011, 38(12), 14574-14584. Festus Oderanti and Philippe De Wilde (2010); Dynamics of Business Games with Management of Fuzzy Rules for Decision Making, 2010, International Journal of Production Economics, 128 (1): 96-109. www.businessballs.com Festus Oderanti AI for Management Decision Making under Uncertainty
  36. 36. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Further Reading Festus Oderanti, Feng Li and Philippe De Wilde, (2012), Application of Strategic Fuzzy Games to Wage Increase Negotiation & Decision Problems, Jour. of Expert Systems with Applications, 2012 39(12), 11103-11114 . Festus Oderanti and Philippe De Wilde (2011); Automatic Fuzzy Decision Making System with Learning for Competing & Connected Businesses, Expert Systems with Applications 2011, 38(12), 14574-14584. Festus Oderanti and Philippe De Wilde (2010); Dynamics of Business Games with Management of Fuzzy Rules for Decision Making, 2010, International Journal of Production Economics, 128 (1): 96-109. www.businessballs.com Festus Oderanti AI for Management Decision Making under Uncertainty
  37. 37. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading Further Reading Festus Oderanti, Feng Li and Philippe De Wilde, (2012), Application of Strategic Fuzzy Games to Wage Increase Negotiation & Decision Problems, Jour. of Expert Systems with Applications, 2012 39(12), 11103-11114 . Festus Oderanti and Philippe De Wilde (2011); Automatic Fuzzy Decision Making System with Learning for Competing & Connected Businesses, Expert Systems with Applications 2011, 38(12), 14574-14584. Festus Oderanti and Philippe De Wilde (2010); Dynamics of Business Games with Management of Fuzzy Rules for Decision Making, 2010, International Journal of Production Economics, 128 (1): 96-109. www.businessballs.com Festus Oderanti AI for Management Decision Making under Uncertainty
  38. 38. Business and Decisions under Uncertainty Examples of AI in Business Artificial Intelligence (AI) Techniques Experiential Teaching and Learning Strategies for AI Conclusion Further Reading The End Thank you! Any Questions? THANK YOU! Source: orlanisheaghdha.com Festus Oderanti AI for Management Decision Making under Uncertainty

×