UCL DataLab Launch - BigData to BigWisdom

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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

description

A keynote about BigData in Securoty. Presetned at the launch of the UCL DataLab in 2013. [this has animation, so probably best to download the file]

Transcript of UCL DataLab Launch - BigData to BigWisdom

Page 1: UCL DataLab Launch - BigData to BigWisdom

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

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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

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What is BigData?

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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

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Why?

Machine Learning

Mature subject

Complex Correlations

Open-source Tools

Mining

Prediction

Hard

Semantic Inference

Reasoning

New research area

Semantic Web

Emerging Tools

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Pretty Pictures & Data Scientists

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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!)

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Knowledge, Power, Responsibility

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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

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Questions & Discussions

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BIG WISDOM

BIG UNDERSTANDING

BIG KNOWLEDGE

BIG INFORMATION

BIG DATA