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Artificial Intelligence in Business



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  • 1. Artificial Intelligence In Business
    • Presented By:-
    • 2. Ajay Kumar KabirSandhu
    • 3. SimmiBalujaSavisca Singh
  • What is Artificial Intelligence?
    • Artificial intelligence is a branch of science which deals with helping machines find solutions to complex problems in a more human-like fashion.
    • 4. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way.
  • Cont/…
    AI is generally associated with Computer Science, but it has many important links with other fields such as:-
  • Why Artificial Intelligence?
    • Computersare fundamentally well suited to perform mechanical computations, using fixed programmed rules efficiently and reliably.
    • 9. computers have trouble understanding specific situations, and adapting to new situations.
    • 10. Artificial Intelligence aims to improve machine behavior in tackling such complex tasks.
  • Why Artificial Intelligence?
    • Humanshave an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition.
    • 11. Artificial Intelligence can help us understand this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities.
  • Cont/…
    • 20th century
    • 20. MODERN HISTORY:- “John McCarthy” coined the term "Artificial Intelligence" as the topic of the Dartmouth Conference, the first conference devoted to the subject.
  • Types Of AI
  • 21. What are the branches of AI?
    • Logical AI:-What a program knows about the world in general the facts of the specific situation in which It must act, and its goals are all represented by sentences of some mathematical logical language
    • 22. Search:-AI programs often examine large numbers of possibilities, e.g. moves in a Chess Game or inferences by a Theorem proving program.
  • Cont/…
    • Pattern Recognition:- When a program makes observations of some kind, it is often programmed to compare what it sees with a pattern.
    • 23. Genetic Programming:- It is a technique for getting programs to solve a task by mating random Lisp programs and selecting fittest in millions of generations.
  • Cont/…
    • Inference:-From some facts, others can be inferred.
    • 24. Common Sense Knowledge And Reasoning
    • 25. Learning From Experience
    • 26. Planning
    • 27. Epistemology:-This is a study of the kinds of knowledge that are required for solving problems in the world.
    • 28. Ontology:-Ontology is the study of the kinds of things that exist.
  • Applications of AI
    computer vision
  • Artificial Intelligence in Financial services
    • Credit Authorization screening
    • 35. Mortgage risk assessment
    • 36. Project management and bidding strategy
    • 37. Financial and economic forecasting
    • 38. Risk rating of exchange-traded, fixed income investments
    • 39. Detection of regularities in security price movements
    • 40. Prediction of default and bankruptcy
    • 41. Security/and or Asset Portfolio Management
  • Artificial Intelligence in Marketing
    • Advances in artificial intelligence (AI) eventually could turbo-boost customer analytics to give companies speedier insights into individual buying patterns and a host of other consumer habits. 
    • 42. The technology is used mostly to analyze data for Genetics, Pharmaceutical and Other Scientific Research.
    • 43. High-tech data mining can give companies a precise view of how particular segments of the customer base react to a product or service.
  • Artificial Intelligence In HR
    • The Artificial Intelligence (AT) field can play a role in assuring that the fuzzy Neural Network has the characteristics and functions of Training,Learning.
    • 44. It has simulation to make an Optimal And Accurate Judgment according to the human thinking model.
  • The Future Of Artificial Intelligence
    • family robots may be permanently connected to wireless family intranets, sharing information with those who you want to know where you are.
    • 45. Crime may get difficult if all family homes are full of half-aware, loyal family machines.
    • 46. A mixture of horse intelligence in car technology.
    • 47. If cars were all (wireless) networked, and humans stopped driving
  • Conclusion 
    • we shouldn't expect that the human race will become extinct and be replaced by robots.
    • 48. We can expect that classical AI will go on producing more and more sophisticated applications in restricted domains - Expert Systems, Chess Programs, Internet Agents