courser web intelligence and big data 0 introduction lecture slides

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courser web intelligence and big data 0 introduction lecture slides

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Web  Intelligence  and  Big  Data   introduc3on  to  the  topic   course  outline  and  logis3cs     The  RThe   everse   Turing   Turing   Test  Test   Which man, and Which is man, and Which isismachine, and which whichisisiswoman??? woman??? ??? which human Conv ersa ti on… Like / Dislike Shopper / Surfer Rich / Poor Ethnicity The image cannot be displayed Your computer may not have The image cannot be displayed Your computer may not have enough memory to open the image,Your or the image may have been Thetoimage be displayed computer enough memory open cannot the image, or the image may have may corrupted your computer, and then openor the file again If notRestart haveRestart enough memory to open image, been corrupted your computer, and thenthe open the filethe the image red x still appears, you may haveRestart to delete the image and may have been again If the red x still appears, you corrupted may have to deleteyour the then insert it again computer, then open the file again If the red x still image and then insert it and again appears, you may have to delete the image and then insert it again The image cannot be displayed Your computer may not have enough memory to open the image, or the image may have been corrupted Restart your computer, and then open the file again If the red x still appears, you may have to delete the image and then insert it again Original ‘Imitation’ Turing Game Test Happening all the time! The image cannot be displayed Your computer may not have enough memory to open the image, or the image may have been corrupted Restart your computer, and then open the file again If the red x still appears, you may have to delete the image and then insert it again Web  Intelligence:  web-­‐scale  AI  is  here   Big  Data  ?   Ø  lots  and  lots  of  web  pages  …   Ø  a  billion  Facebook  users   Ø  billion+  Facebook  pages   Ø  hundreds  of  million  TwiCer  accounts   Ø  hundreds  of  million  tweets  per  day   Ø  Billions  of  Google  queries  per  day   Moore’s  Law   Ø  Millions  of  servers,  petabytes  of  data   In  contrast,  typical  large  enterprise:   q 5000-­‐50,000  servers,     q Terabytes  of  data,  millions  of  Txn/day     Kryder’s  Law   Big-­‐Data  technology   tradi3onal  `business  intelligence’  using  databases:         databases   data-­‐warehouse   sta3s3cs   more  databases     Google,  Facebook,  Linkedin,  eBay,  Amazon  …   did  not  use  `tradi3onal’  databases  for  `big  data’   why?     what?   •    massive  parallelism     •    Map-­‐Reduce  paradigm     what  does  data  have  to  do  with  intelligence?   “any  fool  can  know  …    the  point  is  to  understand.”   -­‐  Albert  Einstein     and  …  the  goal  of  understanding  is  to  predict   Listen Predict Reac?ve  Intelligence   Predic?ve  Intelligence   web  intelligence  using  big  data   AI  techniques  at  web-­‐scale  for  `predic3ve  intelligence’     Ø online  adver3sing  –  predic3ng  intent  and  interest   Ø gauging  consumer  sen3ment  and  predic3ng  behavior   Ø detec3ng  adverse  events  and  predic3ng  their  impact   Ø intelligent  ques3on  answering  such  as  in  Watson   Ø categorizing  and  recognizing  places,  faces,  people,     Ø personalized  genomic  medicine  of  the  future   Ø building  more  intelligent  public  services:  energy,  water   Ø   securing  ourselves  beCer  …   big  data  analy3cs   exploi3ng  more  efficient  technology  developed  by  web   companies  for  their  web-­‐intelligence  tasks     fusing  social  intelligence  and  business  intelligence   web-­‐intelligence  techniques  on  a  mix  of  private  and  web  data   Ø  sales  and  marke3ng   Ø  intelligent  supply  chains   Ø  digital,  mobile,  data-­‐driven  business  models  and  processes       “brick-­‐and-­‐mortar  firms  emula3ng  web  companies”     Web  Intelligence  and  Big  Data   “predict  the  future  using  AI  and  big  data”   Search   Listen Machine     Learning       Look Learn Informa3on   Extrac3on   Connect Reasoning   Predict Data  Mining   Correct Optimization Big  Data   Technology   Load parallel  programming   using  map-­‐reduce   ...  servers,  petabytes  of data   In  contrast,  typical  large  enterprise:   q  500 0-­‐ 50, 000  servers,     q Terabytes  of data,  millions  of  Txn/day     Kryder’s  Law   Big- ­ Data  technology  ...  business  models and  processes       “brick-­ and- ­‐mortar  firms  emula3ng web  companies”     Web Intelligence and Big Data   “predict  the  future  using  AI and big data   Search...  understand.”   -­‐  Albert  Einstein     and  …  the  goal  of  understanding  is  to  predict   Listen Predict Reac?ve Intelligence   Predic?ve Intelligence   web intelligence  using big  data

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