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The Age of Data Driven Science and Engineering

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Slide deck of Ali Syed's talk on 13th October 2015 at Center for Interdisciplinary Mathematics, Uppsala University. Why we all need to rethink and re-imagine how we define and perceive academic disciplines, emergence of data driven sciences and engineering,
explore why talent is the most important ingredient, how the European Data Science Academy (EDSA)is addressing the skills shortage and mass-scale upskilling challenge.

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The Age of Data Driven Science and Engineering

  1. 1. © 2015 PersontyleLtd. The Age of Data Driven Science and Engineering Ali Syed Persontyle Data Science Centre of Excellence Founder and Chief Data Scientist ali.syed@persontyle.com CoSy Seminar – 13 Oct 2015 Center for Interdisciplinary Mathematics Uppsala University
  2. 2. © 2015 PersontyleLtd.
  3. 3. © 2015 PersontyleLtd. Next 50mins….
  4. 4. © 2015 PersontyleLtd. Together we will explore… what's happening to the world we live in, what is all this fuss about the digital world and datafication, why we all need to rethink and reimagine how we define and perceive academic disciplines, emergence of data driven sciences and engineering, explore why talent is the most important ingredient, how EDSA is addressing the skills shortage and mass-scale upskilling challenge.
  5. 5. © 2015 PersontyleLtd. My Safe Harbour Statement!
  6. 6. © 2015 PersontyleLtd. "Any sufficiently advanced technology is indistinguishable from magic.“ Arthur C. Clarke
  7. 7. © 2015 PersontyleLtd.
  8. 8. © 2015 PersontyleLtd. It seems unbelievable at first.
  9. 9. © 2015 PersontyleLtd. Amazing view of Manhattan, New York, in 1944.
  10. 10. © 2015 PersontyleLtd. Disney Research has developed the technology for augmented reality coloring books...
  11. 11. © 2015 PersontyleLtd. DIGITIZATION 9 Billion Internet Devices in 2012 50 Billion By 2020 DATA 90% Created within Last Two Years 50X Growth By 2020 MOBILITY 6 Billion Mobile Subscribers 87% of World’s Population Mobile Data Growing 78% CAGR CLOUD 90% of new software delivery for Public Cloud Public IT cloud services will grow to $107B in 2017 This changes the way the world works…
  12. 12. © 2015 PersontyleLtd. A continuously transforming wold.
  13. 13. © 2015 PersontyleLtd. Experience the digitization…
  14. 14. © 2015 PersontyleLtd.
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  16. 16. © 2015 PersontyleLtd. THE SECOND MACHINE AGE WILL HAVE GREATER IMPACT THAN EVEN THE FIRST INDUSTRIAL REVOLUTION. A n d r e w M c A f e e a n d E r i k B r y n j o l f s s o n
  17. 17. © 2015 PersontyleLtd. “The AIs are going to take our jobs! No. They are going to transform us and our society.” Tim O'Reilly Founder and CEO, O'Reilly
  18. 18. © 2015 PersontyleLtd. All actions, interactions and behaviours both of humans and machines are stored and transmitted across networks to keep the engines of the digital age running.
  19. 19. © 2015 PersontyleLtd. Explosion of the data…
  20. 20. © 2015 PersontyleLtd. The amount and complexity of data produced in science, business, and everyday human activity are increasing at staggering rates.
  21. 21. © 2015 PersontyleLtd. e.g. supply chain data landscape
  22. 22. © 2015 PersontyleLtd. Source: Mamatha Upadhyaya, Capgemini
  23. 23. © 2015 PersontyleLtd. Industry analysts, consultants, pundits and gurus urging the “data-naïve” to wise up to the potential of “Big Data”.
  24. 24. © 2015 PersontyleLtd. “Big data is here to stay, as it should be. But let’s be realistic: It’s an important resource for anyone analysing data, not a silver bullet.” GARY MARCUS & ERNEST DAVIS
  25. 25. © 2015 PersontyleLtd. Data science is an emerging and multidisciplinary way of applying our curiosity, intuition and scientific methods to create value from data that solves our most difficult problems.
  26. 26. © 2015 PersontyleLtd. Data scienceis not just a rebranding of statistics or machine learning but rather a field unto itself. Doing Data Science Rachel Schutt and Cathy O'Neill.
  27. 27. © 2015 PersontyleLtd. Data science“Taking a hunch you have about the world and pursuing it in a structural, mathematical way to understand something new about the world.” Hilary Mason
  28. 28. © 2015 PersontyleLtd. STATISTICS MACHINE LEARNING SOFTWARE ENGINEERING DOMAIN EXPERTISE DATABASE DESIGN & DEVELOPMENT MATHEMATICS
  29. 29. © 2015 PersontyleLtd. DATA SCIENCE STATISTICS MACHINE LEARNING SOFTWARE ENGINEERING DOMAIN EXPERTISE DATA ENGINEERING MATHEMATICS
  30. 30. © 2015 PersontyleLtd. Source: Mamatha Upadhyaya, Capgemini
  31. 31. © 2015 PersontyleLtd. SOCIOLOGY PSYCHOLOGY ORGANIZATION BEHAVIOUR HUMAN COMPUTER INTERACTION PROGRAMMING STRATEGY & PERFORMANCE MANAGEMENT
  32. 32. © 2015 PersontyleLtd. GAMIFICATION SOCIOLOGY PSYCHOLOGY ORGANIZATION BEHAVIOUR HUMAN COMPUTER INTERACTION PROGRAMMING STRATEGY & PERFORMANCE MANAGEMENT
  33. 33. © 2015 PersontyleLtd. FUTURE ???? I DON’T KNOW I DON’T KNOW I DON’T KNOW I DON’T KNOW I DON’T KNOW I DON’T KNOW
  34. 34. © 2015 PersontyleLtd. “Our age reveres the specialist but humans are natural polymaths, at our best when we turn our minds to many things” Robert Twigger
  35. 35. © 2015 PersontyleLtd. https://xkcd.com/755/ Unusual collaborations can often lead to….
  36. 36. © 2015 PersontyleLtd. “‘Data Scientist’ is a Data Analyst who lives in California” "A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician." “A data scientist is a business analyst who lives in New York.” "A data scientist is a statistician who lives in San Francisco." "Data Science is statistics on a Mac." Data science an uninspiring ho-hum?
  37. 37. © 2015 PersontyleLtd. One of the difficult aspects of cultivating an data driven culture is that there is a lot of noise on the topic.
  38. 38. © 2015 PersontyleLtd. Many organizations believe in the power and potential of data science but are challenged in establishing a sustainable data science capability.
  39. 39. © 2015 PersontyleLtd.
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  41. 41. © 2015 PersontyleLtd. Source: Balázs Kégl https://medium.com/@balazskegl/the-data-science-ecosystem-678459ba6013
  42. 42. © 2015 PersontyleLtd. “Distinguishing the signal from the noise requires both scientific knowledge and self-knowledge: the serenity to accept the things we cannot predict, the courage to predict the things we can, and the wisdom to know the difference.” Nate Silver
  43. 43. © 2015 PersontyleLtd. Lot of tools for managing and reproducing complex data projects.
  44. 44. © 2015 PersontyleLtd.
  45. 45. © 2015 PersontyleLtd.
  46. 46. © 2015 PersontyleLtd. Typical Data Science Process Define Objective Extract and Analyze data Pre-processing Feature and Target construction Feature selection Model training Model scoring Evaluation Train/ Test split
  47. 47. © 2015 PersontyleLtd. Data Science is all about building teams and culture.
  48. 48. © 2015 PersontyleLtd. “Data by itself is meaningless. It’s the skill of the data scientist that makes the difference.” Dr. Josh Sullivan Demand for analytics skills outstrips supply in all sectors. “A lot more data than qualified talent. Finding talent in big data is very difficult. Retaining talent in big data is even harder. “ Dr. Usama Fayyad “There is a storm approaching on the Big Data talent front” Tom Davenport
  49. 49. © 2015 PersontyleLtd. A growing divide between those that realise the potential of that data, and those with the technical skills to process, analyse and predict from it. It is also estimated that there will be a 160% increase in demand for Big Data specialists between 2013-2020 to 346,000 new jobs. Big Data has the potential to directly contribute €206 billion to the EU economy by 2020. over the past 5 years the demand for Big Data staff in the UK alone had risen tenfold and currently 77% of Big Data roles are hard to fill.
  50. 50. © 2015 PersontyleLtd. Unfortunately the space is filled with a lot of charlatans masquerading as experts.
  51. 51. © 2015 PersontyleLtd. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 643937 www.edsa-project.eu
  52. 52. © 2015 PersontyleLtd. ENABLING DATA DRIVEN DIGITAL EUROPE Data is at the centre of the future knowledge economy and society
  53. 53. © 2015 PersontyleLtd. “NOT EVERYONE NEEDS TO BE A DATA SCIENTIST, BUT NEARLY EVERYONE WILL NEED TO LEARN TO UTILIZE THE DATA TO MAKE MORE DATA-DRIVEN DECISIONS.” Dr. Jeffrey Camm UC Center for Business Analytic University of Cincinnati
  54. 54. © 2015 PersontyleLtd. A well-balanced European consortium containing 9 partners from 6 European countries (UK, Germany, Sweden, Slovenia, The Netherlands and France). Partners represent Universities (OU, KTH, SOUTHAMPTON, TU/e), Research institutions (FRAUNHOFER, JSI) SMEs (ODI, IDEXLAB SAS, Persontyle) The EDSA consortium www.edsa-project.eu
  55. 55. © 2015 PersontyleLtd. European Data Science Academy (EDSA) will establish a virtuous learning production cycle for Data Science, and will: 1. Analyse the sector specific skillsets for data analysts across Europe’s main industrial sectors; 2. Develop modular and adaptable curricula to meet these Data Science needs; and 3. Deliver training supported by multiplatform and multilingual learning resources based on these curricula.
  56. 56. © 2015 PersontyleLtd. Initial Version of Module Final Module: eBook & Course Webinar – Final Recording Webinar – First Recording Collection of Module Materials Slides – First Version Slides – Final Version Stakeholder Communities Industrial Advisory Board Demand Analysis Reflection Module Dissemination Online & F2F LearningAnalytics Curricula EDSA Analytics Dashboard Reconfiguring & Repurposing Learners Learning Delivery EDSA Design and Delivery Approach
  57. 57. © 2015 PersontyleLtd. EDSA Initial Curriculum Source: http://www.exploringdatascience.com/
  58. 58. © 2015 PersontyleLtd. Delivery Channels - Rich Interactive OERs
  59. 59. © 2015 PersontyleLtd. Delivery Channels - VideoLectures.NET Content Events : 950 Authors: 13, 000 Lectures: 17, 600 Videos: 20, 000 Organisations: 7000 Categories : 600 Comments: 8500 Website Video views: 6.5 million Page views: 29 million Signed in users: 25, 000 Average time: 36 min Attachments: 620, 000 Files: 1,5 million 8 servers New Visitor: 60.83% Licenses: Creative Commons Users Top countries: United States, India, Slovenia, UK, Germany, China, Canada Tutorials: 350 Keynote: 800 Interviews:250
  60. 60. © 2015 PersontyleLtd. Delivery Channels - iTunes U
  61. 61. Mooc Illustration: Adam Simpson Delivery Channels - MOOCs
  62. 62. © 2015 PersontyleLtd.
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  66. 66. © 2015 PersontyleLtd. Help to shape the future of data science training in Europe.
  67. 67. © 2015 PersontyleLtd. We need your data. Help us provide the EU data science community with relevant information about the field from the inside. The more voices we can incorporate into this project, the more detail we can provide, detecting patterns and separating noise from the signals and vice versa. Please take 10-15 minutes to fill out the demand survey. TAKE THE SURVEY
  68. 68. © 2015 PersontyleLtd. "LISTENING TO THE DATA - DOING EXPERIMENTS, ANALYZING THE RESULTS, DIGGING DEEPER, FOLLOWING UP ON SURPRISES - IS THE PATH TO SUCCESS." PROF. PEDRO DOMINGOS
  69. 69. © 2015 PersontyleLtd. ALI SYED @aaalee EMAIL ali.syed@persontyle.com JOIN THE CONVERSATION: @persontyle @schooltds WWW.PERSONTYLE.COM

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