Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Beyond Siri on the iPhone: How couldintelligent systems change the way we   interact with technology and take             ...
Siri: Artificial Intelligence (AI) for All?
Intelligent SystemA system that recognizes its environment andtakes actions that maximize its chances of success.
Haven’t we been using AI for years?
Artificial Intelligence - Problems•   Knowledge Representation•   Learning – Machine Learning•   Natural Language Processi...
Why Beta? Apple Creates “Perfect” Products?Because language is a complex tool and NLP       require more advancement
Natural Language Processing (NLP)•    A field of computer science and linguistics concerned with the interactions     betw...
Steps in Natural Language Processing (NLP)   Deep Approach (Linguistic Analysis)
Natural Language Processing (NLP)• Deep linguistic analysis so the computer can  interpret the text:
Natural Language Processing (NLP)Shallow Approach (Statistical Analysis)• Systems can use the large amount of textual  inf...
Natural Language Processing  Accuracy Levels – Varies
How could intelligent languageprocessing systems assist us further?
Information Overload and Decision Making     “Intelligent (NLP) Systems to Assist”              Herbert Simon             ...
News, Blogs, Chats, etc. and their Influence    “Intelligent (NLP) Systems to Assist”            Daniel Kahneman(Nobel Pri...
Who do we trust? The average opinion ?
Again – Frequency Correlates with Acceptability
Sentiment Analysis – Positive or Negative?
Systems Need to be Cross Language and Dialect
Natural Language Processing - Language is Complex            falling or rising             ‫ارتفاع أم انخفاض‬             ...
Systems Need to be Cross Language• Arabic:  – ‫( سنستخدمه‬rich morphology, absence of vowels)• English:     • We will use ...
Globalisation and Language - Banking and Finance      Demand in Europe and USA for market researchers and analysts      fl...
In the Business World                    “I have been dealing with these big mathematical models of forecasting the econom...
Gartner – Emerging Technologies and Mainstream Adoption
Content Analytics – NLP in Action• Content analytics applications process content to derive  answers to specific questions...
Commercial Software using Content Analysis
Services using Content Analysis (NLP)
Text Analytics Market• Text analytics solutions market is still  immature (the vendors with the longest track  records do ...
Wrap Up – How Could Intelligent Systems   Change the way we take decisions • NLP Intelligent systems will be more:    - Ac...
Thank You
Beyond Siri on the iPhone: How could intelligent systems change the way we interact with technology and take decisions?
Beyond Siri on the iPhone: How could intelligent systems change the way we interact with technology and take decisions?
Upcoming SlideShare
Loading in …5
×

Beyond Siri on the iPhone: How could intelligent systems change the way we interact with technology and take decisions?

1,815 views

Published on

A presentation I have delivered at University of Bahrain on intelligent systems and their current and future use in organisations and by consumers, iPhone’s Siri is used as an example of the mainstream adoption of such systems.

  • Be the first to comment

  • Be the first to like this

Beyond Siri on the iPhone: How could intelligent systems change the way we interact with technology and take decisions?

  1. 1. Beyond Siri on the iPhone: How couldintelligent systems change the way we interact with technology and take decisions? Yousif Almas December 2011
  2. 2. Siri: Artificial Intelligence (AI) for All?
  3. 3. Intelligent SystemA system that recognizes its environment andtakes actions that maximize its chances of success.
  4. 4. Haven’t we been using AI for years?
  5. 5. Artificial Intelligence - Problems• Knowledge Representation• Learning – Machine Learning• Natural Language Processing (NLP)• Perception - Computer Vision and Hearing
  6. 6. Why Beta? Apple Creates “Perfect” Products?Because language is a complex tool and NLP require more advancement
  7. 7. Natural Language Processing (NLP)• A field of computer science and linguistics concerned with the interactions between computers and human (natural) languages.• Approaches – Deep analysis (use linguistic resources such as grammar analysis, etc.) – Shallow analysis (statistical, use large collections of text ) – Hybrid• Major Tasks – Automatic Summarisation (Microsoft Word?) – Natural Language Understanding (Siri?) – Speech Recognition (Siri?) – Machine Translation (Google versus. Sakhr) – Sentiment Analysis – Information Retrieval – Information Extraction
  8. 8. Steps in Natural Language Processing (NLP) Deep Approach (Linguistic Analysis)
  9. 9. Natural Language Processing (NLP)• Deep linguistic analysis so the computer can interpret the text:
  10. 10. Natural Language Processing (NLP)Shallow Approach (Statistical Analysis)• Systems can use the large amount of textual information readily available (e.g. on the web) to produce statistical information and drive generalisations that can be used as rules for predictions/classifications (language independent?)
  11. 11. Natural Language Processing Accuracy Levels – Varies
  12. 12. How could intelligent languageprocessing systems assist us further?
  13. 13. Information Overload and Decision Making “Intelligent (NLP) Systems to Assist” Herbert Simon Information Overload and(Nobel Prize in Economics, Awarded 1978) Bounded Rationality “What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” [Herbert Simon]
  14. 14. News, Blogs, Chats, etc. and their Influence “Intelligent (NLP) Systems to Assist” Daniel Kahneman(Nobel Prize in Economics, Awarded 2002) Human Psychology - “Traces of what people feel and believe can be found in text” [Daniel Kahneman] - “Frequency Correlates with acceptability” [Richard Kittredge]
  15. 15. Who do we trust? The average opinion ?
  16. 16. Again – Frequency Correlates with Acceptability
  17. 17. Sentiment Analysis – Positive or Negative?
  18. 18. Systems Need to be Cross Language and Dialect
  19. 19. Natural Language Processing - Language is Complex falling or rising ‫ارتفاع أم انخفاض‬ sick or healthy ‫صحية أم مريضة‬ ascending or descending- Positive for Stock Market or Commodities Market (Oil)? ‫صعود أم ھبوط‬- Positive for Buyer or seller? Cartoons Source: http://www.aleqt.com/ 20
  20. 20. Systems Need to be Cross Language• Arabic: – ‫( سنستخدمه‬rich morphology, absence of vowels)• English: • We will use it (simple morphology).• Chinese: – 我们将使用它 (no spaces between words)
  21. 21. Globalisation and Language - Banking and Finance Demand in Europe and USA for market researchers and analysts fluent in Arabic, Chinese, Hindi, Russian or Turkish 22
  22. 22. In the Business World “I have been dealing with these big mathematical models of forecasting the economy and I am looking at what was going on in the last few weeks (credit crunch), if i can figure out whether or not people are more fearful or changing to be euphoric and I have a third way of figuring out which of the two things is working (stronger), i dont need any these of those stuff (mathematical models), i can forecast the economy better than any way i know, the trouble is that we can’t figure that out.“ Alan Greenspan on the Daily Show (2007) Chairman of the Federal Reserve 1987-2006 Position: “Text Data Mining” Job Description: The successful candidate will mine text data from numerous news sources and incorporate the information into the proprietary trading systems. Posted on www.efinancialcareers.com (2007) “We are exploring how to incorporate techniques of parsing texts in our trading systems.” Head of Trading Research Team (2007) Major Global Investment Bank (Personal Communication)28/05/2012 09:09 23
  23. 23. Gartner – Emerging Technologies and Mainstream Adoption
  24. 24. Content Analytics – NLP in Action• Content analytics applications process content to derive answers to specific questions: – Shall I sell my “Apple” stocks? – Shall I buy a Mercedes or a BMW?• Sources of Content include: – blogs – news portals – databases (corporate) – instant messaging – social networks – search engines – images, audio and video (public and private)
  25. 25. Commercial Software using Content Analysis
  26. 26. Services using Content Analysis (NLP)
  27. 27. Text Analytics Market• Text analytics solutions market is still immature (the vendors with the longest track records do not yet have software-as-a-service offerings), and some of the underlying capabilities are not as robust as the attractive user interface may suggest (dealing with non- English-language documents and documents with many domain-specific terms?). [Gartner]
  28. 28. Wrap Up – How Could Intelligent Systems Change the way we take decisions • NLP Intelligent systems will be more: - Accurate - Cross Language - Cross Domain (e.g. finance, sport, medicine) As individuals, we will depend more on such systems deployed on Phones, Cars, Tablets, PCs, TVs, Kiosks, etc. and they will not be perceived as intelligent systems (as least not as now) in many daily tasks including: - Buy/Sell decisions. - Advise. - Entertainment. - Education.
  29. 29. Thank You

×