Date post: | 10-May-2015 |
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BigData to BigWisdom
Daniel Hulme - [email protected]
• Masters (Msci) in Computer Science with Machine Learning @ UCL• Doctorate (EngD) in Computational Complexity @ UCL• Research Scientist in Optimisation & Innovation @ UCL• Co-lecturer of New Venture Analytics @ UCL• Founder & CEO of Satalia (NPComplete Ltd) @ UCL• Recipient of a Kauffman Global Scholarship• Visiting Fellow in BigData @ The Big Innovation Centre
BIG WISDOM
BIG UNDERSTANDING
BIG KNOWLEDGE
BIG INFORMATION
BIG DATA
DIKUW Pyramid
• Optimisation Algorithms• Decision Making• Decision Science
• Machine Learning• Analytics &
Visualisation• Data Science
• Aggregation & Visibility• Access & Storage• Security & Resilience
ACTION
INSIGHT
DATA
Understanding BigData
What is BigData?
Giving Meaning to Data
Structured
Databases
Siloed
Migrating from
Storage
Corruption
Security
Mining
Unstructured
Internet
Trawling
Mining
Language
Privacy
Cleaning
Authenticity
Semi-structured
Semantic Web
Tagging
Querying
Provenance
Mining
Storage
Migrating to
Why?
Machine Learning
Mature subject
Complex Correlations
Open-source Tools
Mining
Prediction
Hard
Semantic Inference
Reasoning
New research area
Semantic Web
Emerging Tools
Pretty Pictures & Data Scientists
The Use of Knowledge
Wisdom - Buy John a dog bowl for his birthday and he'll be very happy
Understanding - John's birthday is on April 27th. If John Smith likes Dogs then he probably has one
Knowledge - 1979-04-27 is John Smith's date of birth, and John Smith likes Dogs
Information - 1979-04-27 is a Date, John Smith is a Person, Dog is an Animal (data in context)
Data - "19790427", "John Smith", "Dog" (raw groups of symbols)
BigQuestions
What problem are you trying to solve?
Objectives, Variables and Constraints
POINTS ROUTES MEGA OPS /S
10 3,628,800 4 seconds
11 39,916,800 1 minute
13 6,227,020,800 2 hours
14 87,178,291,200 1 day
16 20,922,789,888,000 1 year
20 2,432,902,008,176,640,000 77,000 years
22 1,124,000,727,777,610,000,000 36 millennia
24 620,448,401,733,239,000,000,000 20 billion years
Odd or Even: O(1)Ordered Search: O(log n)Sorting Items: O(n2)Travelling Salesman: O(n!)
Knowledge, Power, Responsibility
Change the World
• Challenges– How anonymous is anonymised data?– What data should be open and how can it be used/abused?– What should be BigData standards, protocols and ontologies?
• Opportunities– What new innovations can emerge from BigData?– What about Personalised Medicine, Health, Education?
• Pioneers– JDI DataLab at UCL is uniquely positioned to address these
challenges and explore emerging opportunities– Facilitate exciting interdisciplinary collaborations across JDI, CS,
CASA, BEAMS, Bartlett, Enterprise, and beyond
Questions & Discussions
BIG WISDOM
BIG UNDERSTANDING
BIG KNOWLEDGE
BIG INFORMATION
BIG DATA