big data, watson & the future of sourcing

Presented by Kevin Wheeler

Big Data, Watson & The Future of Sourcing

© copyright 2011, Future of Talent Institute

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

3


Applications that involved Big-data can be: Transactional (e.g., Facebook, PhotoBox), or,

Analytic (e.g., ClickFox, Merced Applications).

4


History & Future of Search

6

PREDICTIVE NON-PREDICTIVE

HUMAN ANALYSIS COMPUTER ANALYSIS

2012-2025


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”

7


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.

8

New & Emerging Frontiers


Deep contextual predictive search Data Aggregation Prescriptive Analysis Deep video search Multiple language search

13


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.

14


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

16


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.

17


“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.

18


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

19

http://www.blinkx.com/

http://www.blinkx.com/


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)

20


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 21


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. 22


Thanks! Boomers can Write to me at :

[email protected]

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

mailto:[email protected]

mailto:[email protected]

http://byteeoh.com/

http://www.twitter.com/kwheeler

big data, watson & the future of sourcing

Technology