BIG DATA: hacking complexity - Digital for Business
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BIG DATA: hacking complexity - Digital for Business

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La globalizzazione, lo sviluppo delle tecnologie ed il moltiplicarsi delle interazioni sociali virtuali stanno delineando, in maniera sempre più chiara, i tratti di quella che è definita “l’era ...

La globalizzazione, lo sviluppo delle tecnologie ed il moltiplicarsi delle interazioni sociali virtuali stanno delineando, in maniera sempre più chiara, i tratti di quella che è definita “l’era della complessità”. In tale contesto il volume di dati prodotti dai social networks, dalle reti di sensori intelligenti e dai log dei sistemi informativi aziendali (a cui deve essere aggiunto l'output del processo costante di digitalizzazione della conoscenza) si configura come asset imprescindibile per tutti i settori di attività (i.e. pubblica amministrazione, industria, etc.). D'altra parte un anno di "hype mediatico" attorno al tema ha efficacemente dimostrato come la disponibilità dei dati grezzi non sia fonte diretta di valore: "data don't speak from themselves"! L'intervento mira a sensibilizzare i partecipanti sul tema, sottolineando la necessità immediata di "use cases" e definendo una catena del valore per i (BIG) DATA. In chiusura sarà presentata l'esperienza di Big Dive: corso di formazione per data scientist organizzato a Torino, giunto quest'anno alla sua seconda edizione.

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BIG DATA: hacking complexity - Digital for Business Presentation Transcript

  • 1. BIG DATA: HACKING COMPLEXITYLeonardo Camiciotti / Christian Racca TOP-IX May 2013
  • 2. @pendolare@i_realize@digital_fest#BIGDIVE2013Christian RaccaDesign Engineer@ TOP-IXLeonardo CamiciottiDevt. Program Manager@ TOP-IX#BIGDATA
  • 3. Data is the new oil.Big data is different1.Big data is a management revolution2.Big data is the next frontier for innovation,competition, and productivity3.Big data makes the scientific method obsolete4.BIG DATA IS HYPETOP-IX / DIGITAL FESTIVAL 2013
  • 4. WHAT LIESBEYOND THETOP-IX / DIGITAL FESTIVAL 2013PEAK OFEXPECTATION ?
  • 5. A complex system is a system composed ofinterconnected parts that as a wholeexhibit one or more properties (behavioramong the possible properties) not obviousfrom the properties of the individual parts.[Wikipedia]LET’S JUMP INTO SCIENCETOP-IX / DIGITAL FESTIVAL 2013
  • 6. WE LIVE IN A WORLD OFCOMPLEX SYSTEMS(AND WE ARE PART OF IT)TOP-IX / DIGITAL FESTIVAL 2013
  • 7. BUT WE KNOW BY CREATINGAND CONNECTING SINGLEFRAGMENTS OF REALITYTOP-IX / DIGITAL FESTIVAL 2013
  • 8. BIG DATA (REVOLUTION) ISMAKING EXPLICIT INTRINSICCOMPLEX TEXTURES ANDBEHAVIOURSwriting printing digitalizationTOP-IX / DIGITAL FESTIVAL 2013
  • 9. TOP-IX / DIGITAL FESTIVAL 2013THE SCIENTIFIC CHALLENGEIS NOW TO CREATEMEANINGFUL MOSAICS BYMASTERING DIGITAL DATA.
  • 10. BIG DATA IS TOO BIG TO IGNORETOP-IX / DIGITAL FESTIVAL 2013
  • 11. WHY NOW?TOP-IX / DIGITAL FESTIVAL 2013FORCESHPC / High Performance ComputingCloudOpen SourceStorage cost reductionThe rise of Data ScienceSOURCESThe always-on consumerSocial NetworksThe Open Data movementSmart Cities monitoringKnowledge digitalization process
  • 12. BIG DATABusiness intelligenceEnergy PublicAdministrationEducationCrimeLogisticsInternet of thingsFinanceTOP-IX / DIGITAL FESTIVAL 2013
  • 13. WITH ENOUGH DATA,THE NUMBERS SPEAKFOR THEMSELVES(CHRIS ANDERSON)DEMYSTIFYING BIG DATATOP-IX / DIGITAL FESTIVAL 2013TRUEFALSE
  • 14. DATAIS NOTA BUSINESS MODELDEMYSTIFYING BIG DATATOP-IX / DIGITAL FESTIVAL 2013TRUEFALSE
  • 15. BIG DATA IS ABOUTTHE SIZE OF THEDATASETDEMYSTIFYING BIG DATATOP-IX / DIGITAL FESTIVAL 2013TRUEFALSE
  • 16. BIG DATACAN CONNECT DATAAND DECISIONSDEMYSTIFYING BIG DATATOP-IX / DIGITAL FESTIVAL 2013TRUEFALSE
  • 17. It took 50 years for organization to fullyleverage transaction systems... we cantimagine that data revolution happens in awhile.40% of major business decisions are based oninstinct and not on data - Accenture studyREVOLUTIONS TAKE TIMETOP-IX / DIGITAL FESTIVAL 2013
  • 18. BIG DATA NEEDSSTANDARDS/COLLABORATIONGOVERNMENT SUPPORTLOTS OF STARTUPSDATA SCIENTISTSDEVELOPMENTVISUALIZATIONSCIENCETOP-IX / DIGITAL FESTIVAL 2013
  • 19. BIG DIVE 2012FIRST EDITION HIGHLIGHTS8 DIFFERENT NATIONALITIES90% OF DIVERS RECOMMEND BIG DIVE20 DIVERS
  • 20. THEEND
  • 21. 1 Thomas H. Davenport, Paul Barth, and Randy Bean. “How Big Data is Different," MIT Sloan Management Review, July 30, 20122 Andrew McAfee and Erik Brynjolfsson. “Big Data: The Management Revolution”, Harvard Business Review, Octo- ber 20123 “Big Data: The Next Frontier for Innovation, Competition, and Productivity,” McKinsey Global Institute.>.4 Chris Anderson. “The End of Theory: Big Data Makes the Scientific Method Obsolete,” Wired, June 2008.BOOKThe Business Case for Big Data by Phil Simon. Published by John Wiley & Sons, March 2013.PAPERToo Big to Ignore by By James Guszcza, David Steier, John Lucker, Vivekanand Gopalkrishnan, Harvey Lewis Published January 31, 2013USEFUL LINKShttp://blogs.gartner.com/svetlana-sicular/big-data-is-falling-into-the-trough-of-disillusionment/http://wikibon.org/blog/big-data-infographics/VIDEOShttp://www.google.com/glass/start/how-it-feels/