BigData to BigWisdomDaniel Hulme - d.hulme@cs.ucl.ac.uk• Masters (Msci) in Computer Science with Machine Learning @ UCL• D...
BIG WISDOMBIG UNDERSTANDINGBIG KNOWLEDGEBIG INFORMATIONBIG DATADIKUW Pyramid• Optimisation Algorithms• Decision Making• De...
What is BigData?
Giving Meaning to DataStructured Databases Siloed Migrating from Storage Corruption Security MiningUnstructured In...
Why?Machine Learning Mature subject Complex Correlations Open-source Tools Mining Prediction HardSemantic Inference...
Pretty Pictures & Data Scientists
The Use of KnowledgeWisdom - Buy John a dog bowlfor his birthday and hell be veryhappyUnderstanding - Johns birthdayis on ...
Knowledge, Power, Responsibility
Change the World• Challenges– How anonymous is anonymised data?– What data should be open and how can it be used/abused?– ...
Questions & Discussions
BIG WISDOMBIG UNDERSTANDINGBIG KNOWLEDGEBIG INFORMATIONBIG DATA
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UCL DataLab Launch - BigData to BigWisdom

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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]

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UCL DataLab Launch - BigData to BigWisdom

  1. 1. BigData to BigWisdomDaniel Hulme - d.hulme@cs.ucl.ac.uk• 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
  2. 2. BIG WISDOMBIG UNDERSTANDINGBIG KNOWLEDGEBIG INFORMATIONBIG DATADIKUW Pyramid• Optimisation Algorithms• Decision Making• Decision Science• Machine Learning• Analytics & Visualisation• Data Science• Aggregation & Visibility• Access & Storage• Security & ResilienceACTIONINSIGHTDATAUnderstanding BigData
  3. 3. What is BigData?
  4. 4. Giving Meaning to DataStructured Databases Siloed Migrating from Storage Corruption Security MiningUnstructured Internet Trawling Mining Language Privacy Cleaning AuthenticitySemi-structured Semantic Web Tagging Querying Provenance Mining Storage Migrating to
  5. 5. Why?Machine Learning Mature subject Complex Correlations Open-source Tools Mining Prediction HardSemantic Inference Reasoning New research area Semantic Web Emerging Tools
  6. 6. Pretty Pictures & Data Scientists
  7. 7. The Use of KnowledgeWisdom - Buy John a dog bowlfor his birthday and hell be veryhappyUnderstanding - Johns birthdayis on April 27th. If John Smith likesDogs then he probably has oneKnowledge - 1979-04-27 is JohnSmiths date of birth, and JohnSmith likes DogsInformation - 1979-04-27 is aDate, John Smith is a Person, Dogis an Animal (data in context)Data - "19790427", "JohnSmith", "Dog" (raw groups ofsymbols)BigQuestions What problem are youtrying to solve? Objectives, Variablesand ConstraintsPOINTS ROUTES MEGA OPS /S10 3,628,800 4 seconds11 39,916,800 1 minute13 6,227,020,800 2 hours14 87,178,291,200 1 day16 20,922,789,888,000 1 year20 2,432,902,008,176,640,000 77,000 years22 1,124,000,727,777,610,000,000 36 millennia24 620,448,401,733,239,000,000,000 20 billion yearsOdd or Even: O(1)Ordered Search: O(log n)Sorting Items: O(n2)Travelling Salesman: O(n!)
  8. 8. Knowledge, Power, Responsibility
  9. 9. 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 thesechallenges and explore emerging opportunities– Facilitate exciting interdisciplinary collaborations across JDI, CS,CASA, BEAMS, Bartlett, Enterprise, and beyond
  10. 10. Questions & Discussions
  11. 11. BIG WISDOMBIG UNDERSTANDINGBIG KNOWLEDGEBIG INFORMATIONBIG DATA

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