• Save
HOW TO DO AI IN 2013 from Roadmap 2012
Upcoming SlideShare
Loading in...5
×
 

HOW TO DO AI IN 2013 from Roadmap 2012

on

  • 747 views

Dr. Joseph Turian, MetaOptimize and GigaOM Pro

Dr. Joseph Turian, MetaOptimize and GigaOM Pro
#roadmapconf
More at http://event.gigaom.com/roadmap/

Statistics

Views

Total Views
747
Views on SlideShare
745
Embed Views
2

Actions

Likes
1
Downloads
0
Comments
0

1 Embed 2

http://pinterest.com 2

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

HOW TO DO AI IN 2013 from Roadmap 2012 HOW TO DO AI IN 2013 from Roadmap 2012 Presentation Transcript

  • HOW TO DO AI IN 2013 SPEAKER: Dr. Joseph Turian President, MetaOptimize Analyst, GigaOM ProThursday, November 8, 12
  • how to do “AI” in 2013 Joseph Turian, Ph.D. MetaOptimize, GigaOm Pro @turianThursday, November 8, 12
  • the ghosts of work past, future, and presentThursday, November 8, 12
  • Past who makes computer, n., 1613: A person calculations.Thursday, November 8, 12
  • PresentThursday, November 8, 12
  • FutureThursday, November 8, 12
  • The Turing Test (1950) 7Thursday, November 8, 12
  • The Golden Years of AI (1956-1974) 1965, H.A. Simon: “machines will be capable, within 20 years, of doing any work a man can do.” 1970, Minsky: “In from 3-8 years we will have a machine with the general intelligence of an average human being.” 8Thursday, November 8, 12
  • The AI winterThursday, November 8, 12
  • A new dawn for AI?Thursday, November 8, 12
  • Deep Machine Learning the Google “cat faces” paper 11Thursday, November 8, 12
  • a trick to do “AI”Thursday, November 8, 12
  • a trick to do “AI”Thursday, November 8, 12
  • Thursday, November 8, 12
  • Thursday, November 8, 12
  • Thursday, November 8, 12
  • Crowd LaborThursday, November 8, 12
  • Thursday, November 8, 12
  • Crowd-Labor applicationsThursday, November 8, 12
  • Common applications Data entry Categorization Content generation ...Thursday, November 8, 12
  • Case study: Data entry Workplace safety company courtesy of CloudFactoryThursday, November 8, 12
  • In-house approach Costly training, high Complicated, turnover undocumented business process Can’t scale to meet Unreliable results demandThursday, November 8, 12
  • Crowd-Labor approach Virtual assembly line Small microtasks with no Multiple eyes per task training required Reliable results Scales to meet demandThursday, November 8, 12
  • courtesy of CloudFactoryThursday, November 8, 12
  • Thursday, November 8, 12
  • Data Entry Crowd-labor with auto Temp workers QA 86% accuracy 98% accuracy source: Humanoid (acquired by CloudFactory)Thursday, November 8, 12
  • Sentiment Analysis Automatic Crowd-Labor Error-prone Accurate Coarse-grained (pos or Fine-grained neg)Thursday, November 8, 12
  • “Did they think that my product is cool?” “Did they write that my car is fast?” https://crowdflower.com/sentiThursday, November 8, 12
  • Input Crowd-Labor Business Process for Sentiment medium/low high confidence confidence OutputThursday, November 8, 12
  • Input Crowd-Labor Business Process for Sentiment medium/low high confidence confidence ??? OutputThursday, November 8, 12
  • courtesy of CrowdSourceThursday, November 8, 12
  • Input medium/low high confidence confidence OutputThursday, November 8, 12
  • Input training data medium/low high confidence confidence OutputThursday, November 8, 12
  • Input training data AI Virtuous Cycle medium/low high confidence confidence OutputThursday, November 8, 12
  • Better grammar = $$$Thursday, November 8, 12
  • “We noticed that demand for a hotel increases if the reviews on TripAdvisor and Travelocity are well-written, without spelling errors; this holds no matter if the review is positive or negative.” Source: Panos IpeirotisThursday, November 8, 12
  • “we’ll just implement a grammar checker to do it”Thursday, November 8, 12
  • “we’ll hire interns and outsourcers to do it”Thursday, November 8, 12
  • “let’s hire the crowd to do it”Thursday, November 8, 12
  • Thursday, November 8, 12
  • Revenue lift > $1MThursday, November 8, 12
  • what we want vs. what we haveThursday, November 8, 12
  • intelligent applications we want vs. intelligent applications we haveThursday, November 8, 12
  • intelligent applications we want ApplicationsThursday, November 8, 12
  • intelligent applications we have commoditized Enterprise Crowd-Labor Crowd-Labor Apps AppsThursday, November 8, 12
  • Cloud-computing vs. Crowd-LaborThursday, November 8, 12
  • Cloud-Computing vs Crowd- OCR, Web apps, APIs Application sentiment, ... Dispatch work, Deploy app Platform ensure quality reliably results Provision Provision processing, Infrastructure workers storage, ... from the crowdThursday, November 8, 12
  • Crowd-Labor stack Application Chirpsy, CastingWords, uTest, ... Platform CrowdFlower, MobileWorks, CCS, ... Infrastructure Mechanical Turk, Elance, ...Thursday, November 8, 12
  • the Crowd-Labor stack we want vs. the Crowd-Labor stack we haveThursday, November 8, 12
  • the Cloud-computing stack we Application Abundant Platform Robust Infrastructure Unreliable hardwareThursday, November 8, 12
  • the Crowd-Labor stack we want Application Abundant Platform Robust Infrastructure Unreliable workersThursday, November 8, 12
  • the Crowd-Labor stack we have Commoditized Enterprise Few Application Some Immature Platform Not generic Unreliable Infrastructure UnreliableThursday, November 8, 12
  • Crowd-Labor applications in Application Chirpsy, CastingWords, uTest, Senti, Platform Expensify, etc. InfrastructureThursday, November 8, 12
  • robust Crowd-Labor platforms?Thursday, November 8, 12
  • robust Crowd-Labor platforms? curation vs. technologyThursday, November 8, 12
  • robust Crowd-Labor platforms? curation technology Application Application Platform Platform auto-QA reliabl e unrelia worker Infrastructure Infrastructure ble s workersThursday, November 8, 12
  • robust Crowd-Labor platforms? curation technology Application Application Platform Platform Infrastructure InfrastructureThursday, November 8, 12
  • Crowd-Labor enabling new applicationsThursday, November 8, 12
  • Thursday, November 8, 12
  • 0:23 male and female companions inspect socksThursday, November 8, 12
  • “What % of shoppers spend over 30 sec in my store? Where do they browse? What do they buy?”Thursday, November 8, 12
  • what Crowd-Labor applications can you imagine?Thursday, November 8, 12
  • Thursday, November 8, 12
  • Crowd-Labor 1. game-changing “AI” applications 2. enterprise-ready in 2012 3. ubiquitous soon... Joseph Turian, Ph.D. @turianThursday, November 8, 12
  • Thursday, November 8, 12