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The Disappearing Data Scientist

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As the shortage of trained data scientists threatens to prevent firms from reaching their analytical potential, a new class of products and services is emerging that promises to relieve the stress on enterprise management. These new tools are making it easier for “citizen data scientists” to create and use models based on their understanding of the business logic and their data, rather than data science fundamentals.

This webinar will present an overview of the new tool landscape and highlight features, benefits, and potential pitfalls for naive adopters. Will they eliminate the need for Data Scientists? Not yet, but they may be just what your firm needs now.

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The Disappearing Data Scientist

  1. 1. JULY 12, 2018 The Disappearing Data Scientist 
 
 Adrian J Bowles, PhD Founder, STORM Insights, Inc. Lead Analyst, AI, Aragon Research
  2. 2. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. FROM THE GUARDIAN CAREER CHOICES SECTION “What's a data scientist and how do I become one?” “There is currently a shortage of data scientists – with companies looking for programmers and analytical thinkers to plug the gap” “…the next three years offer a veritable goldmine for data scientists.” June 30, 2015
  3. 3. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. What IS a Data Scientist Anyway? The role, responsibilities, skills How the role will change Emerging tools to augment or automate data science AGENDA
  4. 4. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. WHAT IS A DATA SCIENTIST ANYWAY? Someone who can Identify/Interpret Business Need for Insights Identify and Prepare Data Analyze - using tools and algorithms appropriate
 for the problem at hand Interpret the results Tell the story Wikipedia contributors. "Slide rule." Wikipedia, The Free Encyclopedia. Wikipedia, The Free Encyclopedia, 11 Jul. 2018. Web. 11 Jul. 2018. "Sextant (astronomical)." Wikipedia, The Free Encyclopedia. Wikipedia, The Free Encyclopedia, 12 Oct. 2017. Web. 11 Jul. 2018 Probability and Statistics Experimental Design Communication Skills
  5. 5. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. TWO APPROACHES: REPORTING VS EXPLORING Data Discovery Data Preparation Model Analyze Interpret Problem Definition Data Discovery Data Preparation Model Analyze Interpret Pattern Detection ~Supervised ML ~unSupervised ML
  6. 6. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. TECHNOLOGY AUGMENTATION & AUTOMATION TELEPHONE OPERATORS SCOPE TECHNOLOGY IMPACT © Seattle Municipal Archives
  7. 7. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. TECHNOLOGY AUGMENTATION & AUTOMATION PROGRAMMERS SCOPE TECHNOLOGY IMPACT
  8. 8. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. DATA SCIENTISTS TECHNOLOGY AUGMENTATION & AUTOMATION SCOPE TECHNOLOGY IMPACT
  9. 9. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. THE NATURAL PROGRESSION Business User IT Business User IT Business User Data IT Data Scientist Data Data
  10. 10. MG MAINTENANCE TOOLS OF THE TRADE A FOOL WITH A TOOL IS STILL A FOOL. TOM DEMARCO TOOLS + SKILLS/KNOWLEDGE
  11. 11. DATA SCIENCE: TOOLS OF THE TRADE
  12. 12. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. FORCES DRIVING SELF-SERVICE DATA SCIENCE Data Growth Budgets for Analysis Tools Bypassing ITDearth of Skills Issues Demand Supply AI Technologies Maturing to Augment Business Analysis Requirements
  13. 13. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. WHAT CAN BE AUTOMATED? Identify/Interpret Business Need for Insights Identify and Prepare Data Analyze Interpret
  14. 14. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. DATA SCIENCE TRENDS Self-Service Data Science BI AI
  15. 15. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. AUTOMATION/AUGMENTATION: MODEL GENERATION Properties of the Data + Comparative Analysis | User interrogation + Machine Learning
  16. 16. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. PROBLEM DEFINITION TREND: FROM SQL TO NLP Structured Queries Visual Queries Natural Language Data-Centric Business User-Centric
  17. 17. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. DATA EXPLORATION TREND …Interactive to Conversational Distributed Analysis - Put the Power Close to the Pain
  18. 18. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. VENDORS MEETING SELF-SERVICE DATA SCIENCE DEMAND (REPRESENTATIVE LIST) IBM - Watson Explorer, Watson Analytics, Microsoft PowerBI MicroStrategy Oracle Data Visualization Qlik Sense SAP Lumira, Analytics Cloud SAS Visual Analytics Sisense Tableau Tibco Spotfire
  19. 19. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. NATURAL LANGUAGE GENERATION FOR STORY TELLING Narrative Science Automated Insights SAP Lumira Sisense Microsoft PowerBI MicroStrategy Qlik Sense Tableau Tibco Spotfire
  20. 20. Copyright (c) 2018 by STORM Insights Inc. All Rights Reserved. FINDINGS AND RECOMMENDATIONS Findings Increasing demand will continue to drive self service analytics Quality of automation vs augmentation varies widely Biggest benefits are coming from AI classification and NLP technologies Recommendations Don’t think in terms of “citizen data scientist” - think productivity Evaluate your current BI vendor’s roadmap Train user on analysis fundamentals and experimental design before deploying the new tools - they may look easy, but they may also just help you solve the wrong problem faster Test the new interfaces in your environment before choosing a tool If you’re a data scientist - relax
  21. 21. adrian@storminsights.com Twitter @ajbowles Skype ajbowles KEEP IN TOUCH COMING SOON… AGEOFREASONING.COM BOOK, VIDEOS, PROFESSIONAL SERVICES WWW.AGEOFREASONING.COM

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