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Artificial Intelligence

Artificial Intelligence. BUS 237 Group Project Group 5 – Nicholas yau , cheng peng , GURTej rai. What is AI?. AI is the development of computer systems allowing them to perform human tasks making them appear intelligent and ultimately making people irrelevant. Real Life Examples.

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Artificial Intelligence

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  1. Artificial Intelligence BUS 237 Group Project Group 5 – Nicholas yau, chengpeng, GURTej rai

  2. What is AI? • AI is the development of computer systems allowing them to perform human tasks making them appear intelligent and ultimately making people irrelevant.

  3. Real Life Examples • Cars - Tesla, Mercedes • Apple(Company) - uses Siri(Product) for virtual assistance. • Google(Company) -  Google Brain(products) attempting to mimic human-level intelligence.  • Prisma(Company) - application that takes your photo and turns into art pieces of style. • Games – AlphaGo • Genpact’s neural chat assistant, an AI virtual advisor designed to improve customers’ shopping experiences

  4. Costs • Hardware – Expensive equipment (Moore's Law) • Software – coding that mimics humans (DNA) • Data – Data mining cost • Procedure – Adapting to new AI • People – job loss

  5. Current State of AI • Deep learning - learns by itself (branch of neural networks) • Use of AI in the stock exchange and outperformed the general market

  6. Relevance to Business Managers Advantages • Cheaper labor because people are the hardest to change while automation is easiest. • Better outcome, for example Sales forecast system has improved decision making for many managers in different areas like marketing, sales etc.  • Protection of Companies and Bank using AI techniques,  • Less mistakes if AI is programmed correctly • Higher degree of personalization & satisfied customers 

  7. Disadvantages • It poses threats to lower-skilled workers in the blue collar industries.  • High cost of maintenance and if the computer system breaks down, all information is lost • Cannot replace human brains

  8. The Future Use of AI From "weak ai" to "strong ai"

  9. AI & Recruitment • AI will make the recruiting process more productive by improving efficiency and effectiveness • Strong computing power + fast processing speed = more meetings, more candidates, more résumés • Digitization → more predictive data → assess candidates' working abilities & experience • Eliminate hiring bias

  10. AI & The Automotive Industry • AI will most likely make a breakthrough in the automobile industry. • Automated cars: mimic a drive's behavior even in situations it has not been trained in & predict the best possible outcome • Building better mapping and navigation systems

  11. AI & Learning Machines & Marketing • AI will help develop a functioning strategy machine and boost decision making process. • Business and marketing departments are vigorously moving ahead with the adoption of AI technology.

  12. Q & A ?

  13. References • Ashton, D.( Author). (2017). Tesla Self-Driving Cars have much more competition. [Ditigtal image]. Retrieved from http://www.torquenews.com/3855/tesla-self-driving-cars-have-much-more-competition • Atkinson,R. (Author). (2016). 5 myths about the future of AI. [Digital image]. Retrieved from http://www.huffingtonpost.com/robert-d-atkinson-phd/5-myths-about-the-future-_b_10819602.html • Conick, H. (2017). The Past, Present and Future of AI in Marketing. Marketing News, 51(1), 26-35. • Einino, N. (Photographer). Artificial Intelligence and Cognitive Computing. (n.d.). [Digital image]. Retrieved from https://www.i-scoop.eu/artificial-intelligence-cognitive-computing • Davidson, T. (2016). VSI Outlook: The Future of AI in Automotive. Automotive Industries, 33. • Jackson, T. (Author). (2017). Anything you do AI can do better. [Ditigal image]. Retrieved from https://www.linkedin.com/pulse/anything-you-do-ai-can-better-thomas-jackson • Kroenke, D. M., Gemino, A., & Tingling, P. (2016). Experiencing MIS: Fourth Canadian Edition. Upper Saddle River, NJ: Pearson Education. • Nenonen, S. (2017). Meet your next strategist: Artificial intelligence. NZ Business + Management, 31(3), M24. • n.d.Google. (n.d.). [Digital image]. Retrieved from https://www.google.com • n.d.Genpact. (n.d.). [Digital image]. Retrieved from http://www.genpact.com • Razum. (Photographer). Fusion of human with artificial intelligence. (n.d.). [Digital imgage]. Retrieved from https://www.shutterstock.com/image-vector/fusion-human-artificial-intelligence-181640888?src=EevKyfFswLhG2QhTurkcFA-1-12 • Ranstom Creations (Creator). (2016). What artificial intelligence will look like in 3030. [Digital image]. Retrieved from http://educationtoday.co.ke/archives/1076 • Ternynck, J. (2017). The future of recruiting is (obviously) AI. Information-Management.Com, 15. • Vomiero, J. (Staff Writer). What happens after self-driving cars come to Canada? (2016). [Digital image]. Retrieved from http://mobilesyrup.com/2016/04/20/what-happens-after-self-driving-cars-come-to-canada

  14. Thank you!

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