Overview of where sourcing is headed and the power of harnessing Big Data.

1. Big Data, Watson & The
Future of Sourcing
Presented by Kevin Wheeler

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3. Big Data
 Very large distributed aggregations of loosely
structured data – often incomplete and
inaccessible:
 Petabytes/exabytes of data,
 Millions/billions of people, Billions/trillions of records,
 Loosely-structured and often distributed data,
 Often made up of incomplete data,
 Often including connections between data elements
that must be probabilistically inferred
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4.  Applications that involved Big-data can be:
Transactional (e.g., Facebook, PhotoBox), or,
 Analytic (e.g., ClickFox, Merced Applications).
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6. History & Future of Search
2012-2025
NON-PREDICTIVE PREDICTIVE
HUMAN ANALYSIS COMPUTER ANALYSIS
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7. Semantic Search
 Make sense of search results based on context.
 What this means is that the search engine —
through natural language processing — will
know whether you are looking for a car or a big
cat when you search for “jaguar”
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8. Sixth Sense Semantic Search
 Supplied by Monster
 Uses crawlers that supports different protocols to
pull information from various sources and index
them at a centralized server.
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12. New & Emerging Frontiers

13.  Deep contextual predictive search
 Data Aggregation
 Prescriptive Analysis
 Deep video search
 Multiple language search
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14. Emerging Search
 Predictive Search (Google)
 Learn what you want as you work and tailor results
 Contextual Search (Google Instant)
 Contextual Search works by intelligent search
engine optimization powered by semantic
intelligent search software.
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16. Aggregation of Data
 Clustering- an identification of regularities in
data in an unsupervised way, e.g. without
labeling the cluster with a specific name.
 Collocation - identifying a relationship
between entities based on their mutual
collocation
 Yahoo, Google, Bing
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17. Prescriptive Analysis
 While predictive analytics helps you model and
forecast what might happen in the future,
prescriptive analytics helps you decide the best
course of action to take given your objectives,
requirements and constraints.
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18. “Star Trek” Decisions
 Based on the aggregation of school, test, work,
LinkedIn, Facebook, medical data; search tools
give a probability that a candidate will be the
best one out of all.
 Makes decisions based on criteria established
from past behaviors and your indications.
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19. Deep Video Search
 Searching through videos and recognizing faces
and speech to analyze what someone is saying
and analyze it.
 Early beginnings with Blinkx.com
http://www.blinkx.com/
 And Truveo http://www.truveo.com
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20. Multiple Language Search
 Major challenge to search & translate across
multiple languages and account for cultural
nuances.
 Google & IBM are pioneering work in these
areas.
 Integrated Wave Technologies developed Voice
Response Translator (VRT)
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21. What’s Possible in 5-10 Years?
 Aggregation and Intelligent Analysis of
multiple, seemingly unrelated datasets.
 Access to vast amounts of unstructured data.
 Ranking of quality/trustworthiness/and other
factors based on recorded behaviors.
 Ability to prescribe who would best fit a need
based on multiple past searches and probability
analysis.
 Includes video and audio data
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22. Summary - Future of Sourcing
 Sourcing as we know it has a perhaps 6-10 year
lifespan
 Candidates have no need for formal resume/CV
 People search composed of a mix of structured
and unstructured, aggregated and integrated
data.
 Information Analysts interpret/refine/hone
data for final decision making.
 Most “search” fully automated.
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23. Thanks!
 Boomers can Write to me at :
kwheeler@futureoftalent.org
 Gen X can Read my blog at:
http://byteeoh.com
 Gen Y Follow me on Twitter at:
www.twitter.com/kwheeler
 Anyone can Read my columns on ERE:
www.ere.net
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