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Presentation given at AIIM International 2012 on 2 types of Collaboration. Lecture Notes in the To view the session on YouTube see: http://www.youtube.com/watch?v=j-m0OqT0gRE
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#AIIM12
#AIIM12
2 Types of Collaboration & 10 Requirements for Using Them
Billy CripePrincipal BloomThinker - BloomThink
VP Marketing – DigitilitiBoard Member – AIIM Minnesota
#AIIM12
#1 Intentional
#2 Accidental
2 Types of Collaboration
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If I have seen farther, it is by standing on the shoulders of giants.
-sir Isaac Newton, 1676
“
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1676 – Leibniz seeks to find the truth of any mathematical statement given a universal language.
Amazing (ly Slow) Accidental Collaboration
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1882 – David Hilbert hangs out with Hermann Minkowski and Adolf Hurwitz
1928 – Hilbert poses Entscheidungsproblem to challenge Leibniz
Amazing (ly Slow) Accidental Collaboration
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1936 – Alonzo Church creates Lambda Calculus to prove
Hilbert’s problem is unsolvable
Amazing (ly Slow) Accidental Collaboration
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1958 – John McCarthy designs LISP based on Church’s Lambda Calculus.
LISP includes mapping and folding…
Amazing (ly Slow) Accidental Collaboration
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2004 – Jeffrey Dean & Sanjay Ghemawat publish MapReduce: Simplified Data Processing on Large Clusters
Our abstraction is inspiredby the map and reduce primitives present in Lisp“
Amazing (ly Slow) Accidental Collaboration
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2004 – Doug Cutting –reads the paper
2004-2006 - Hadoop created
December, 2011 - Version 1.0.0 of Hadoop released
Amazing (ly Slow) Accidental Collaboration
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Accidental Collaboration:The soul of an Idea Weaves Through Time
Forward pressure of the idea influences those who come next…
Building on the insights & data of the progenitors in ways they never imagined…
Wanted a way to find the truth of anything
Created a way to tease insight out of everything
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Modern Accidental Collaboration
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DATACollection | Aggregation | Tracking |Prediction | Delivery
Key Requirements for Accidental Collaboration
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we helping computers computers helping us
our goal is awareness and interaction with all kinds of information
Evolve Status Quo Strategies of Data Collection
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encourage voluntary participation interest & gamification create springboards for further collaboration aggregates reveal new meaning & insight
Automatically Aggregate Data
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Usage & Context Patterns DLP & GRC Digitiliti
Tracking Data & Data Tracking
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Agile Creation of Business Intelligence
Anticipate Demand, Need, Desire & Request
Proactively Predict
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Bring it all together
Enterprise Information Ecosystem
Deliver Insight Through Information
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An Army Of Davids
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Thank You
Billy CripePrincipal [email protected] +1 (612) 205-3762Twitter: @billycripeFacebook: facebook.com/bloomthink
AIIM Minnesota
