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Designing a Successful Governed Citizen Data Science Strategy

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To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don't know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents.
In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.

Published in: Data & Analytics
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Designing a Successful Governed Citizen Data Science Strategy

  1. 1. Confidential. ©2018 DataRobot, Inc. – All rights reserved Enabling the AI-Driven Enterprise Designing a Successful Governed Citizen Data Science Strategy
  2. 2. Confidential. ©2018 DataRobot, Inc. – All rights reserved Ron Powell Editor and BeyeNETWORK Channel Community Expert for DATAVERSITY linkedin.com/in/ronaldpowell BeyeNETWORK.com Speaker Jen Underwood Sr. Director, DataRobot @idigdata linkedin.com/in/idigdata jenunderwood.com
  3. 3. Agenda Confidential. ©2018 DataRobot, Inc. – All rights reserved 1. Introduction 2. Role of the AI COE 3. Path to becoming AI-driven 4. Q&A
  4. 4. Confidential. ©2018 DataRobot, Inc. – All rights reserved “Decision making techniques and technologies to automate it will be the next competitive battleground for organizations. Those who are using business rules, data mining, analytics and optimization today are the shock troops of this next wave of business innovation.” Tom Davenport, Competing on Analytics
  5. 5. Confidential. ©2018 DataRobot, Inc. – All rights reserved Competitive advantage in the algorithm economy The AI gap is already being exploited as a game-changing competency. Source: Notes from the AI frontier: Modeling the impact of AI on the world economy
  6. 6. Confidential. ©2018 DataRobot, Inc. – All rights reserved AI Center of Excellence (COE) Due to the role of AI, higher level skills, and experience needed, avoid scattered “bottoms up” approaches Enterprise decision making tools need to be trustworthy and sustainable
  7. 7. Confidential. ©2018 DataRobot, Inc. – All rights reserved ❏ Lead AI vision and create a roadmap of prioritized use cases ❏ Provide AI technical architecture in partnership with IT ❏ Define AI tools standards, governance processes and ethics reviews ❏ Develop and monitor AI models in collaboration with IT and business area leaders ❏ Orchestrate external innovation relationships ❏ Build and grow organizational AI maturity, talent and data literacy ❏ Foster an internal network of AI champions Core AI COE Responsibilities
  8. 8. Confidential. ©2018 DataRobot, Inc. – All rights reserved 3 steps to becoming AI-driven 2. Apply Automated Data Science 1. Upskill Your Existing Team 3. Collaborate with Expert Mentors
  9. 9. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved The world’s most advanced Enterprise Machine Learning Automation platform 2012 Founded, HQ in Boston, MA $224M In funding 800,000,000+ Models built on DataRobot Cloud 200+ Data Scientists & Engineers (of 500+) 4 #1 ranked Data Scientists 50+ Top 3 finishes INSURANCE FINTECH HEALTHCARE MARKETING BANKING RETAIL MANUFACTURING MANY MORE
  10. 10. Confidential. ©2019 DataRobot, Inc. – All rights reserved DataRobot is a Visionary DataRobot debuted furthest to the right for ‘Completeness of Vision’ on the latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms “DataRobot sets the standard for augmented data science and ML.”
  11. 11. Confidential. ©2018 DataRobot, Inc. – All rights reserved AI Opportunities in Single Division Data Scientists AI Opportunities in Single Division Data Scientists + Citizen Data Scientists UnrealizedPotentialScaling the AI-driven enterprise Automation shifts team focus to delivering more business value, faster.
  12. 12. Confidential. ©2018 DataRobot, Inc. – All rights reserved Many different job titles Data Engineer Database Developer ETL Developer Systems Engineer etc. Many different job titles BI Professional Data Analyst Business Analyst Actuary etc. Common AI team roles Executive Sponsor Data EngineerBusiness Analytics Professional Software Developer Data Scientist AI projects rarely require participation from all roles. Citizen data scientists can do most work with automation first data science, mentoring and IT help to deploy. Citizen Data Scientists
  13. 13. Confidential. ©2018 DataRobot, Inc. – All rights reserved Stores scored model results in database Deploys governed models in data / ETL pipelines Shares predictions in dashboards or apps Business analytics professional Explores data for insights Builds predictive models DataRobot for enterprise business analytics Delivering on the AI Promise with your existing team and tools
  14. 14. Confidential. ©2018 DataRobot, Inc. – All rights reserved Use governed predictive models Example of DataRobot AI-powered dashboard with Tableau
  15. 15. $400MILLION in annual savings from better demand forecasts <3MONTHS achieved in less than 3 months +9.5%ACCURACY DataRobot generated higher quality models Global Retailer "We don't want our talent working on theoretical data science research projects. We need to be ruthlessly practical at delivering value to the business."
  16. 16. $150MILLION in annual revenue and cost savings <12MONTHS achieved in under 12 months 1DIVISION in one division of the bank Top Global Bank “With DataRobot, results that formerly might take months to obtain by means of complicated procedures can now be obtained in minutes” - Executive Director
  17. 17. <$875THOUSAND used to be dismissed since returns too small <1WEEK 2 employees created and deployed a model 95%ACCURACY DataRobot instantly ROI positive TD Ameritrade “DataRobot justifies its place by providing value and returning significant ROI immediately.” Beaumont Vance, Head of Enterprise Analytics
  18. 18. $10MILLION in annual cost savings for 8 of 38 hospitals <12MONTHS achieved in under 12 months 0.1%REDUCTION in patient length of stay Steward Healthcare “DataRobot is very much a part of our growth strategy.” - Erin Sullivan, Executive Director of Information Systems and Software Development
  19. 19. Confidential. ©2018 DataRobot, Inc. – All rights reserved Just add data and hit Start
  20. 20. Confidential. ©2018 DataRobot, Inc. – All rights reserved Built-in best practices, warnings and guardrails reduce human errors DataRobot protections help avoid AI gone wrong in ways that may or may not be immediately obvious Guardrails prevent common mistakes
  21. 21. Confidential. ©2018 DataRobot, Inc. – All rights reserved
  22. 22. Confidential. ©2018 DataRobot, Inc. – All rights reserved Empowering teams to deliver governed, responsible AI you can trust Key capabilities for citizen data science ❏ Easy to get started yet deep and flexible for all levels of data science talent ❏ Best practices, warnings, and guardrails prevent common mistakes ❏ Automated data quality detection and issue handling ❏ Optimized feature engineering for generating high-quality models ❏ Full model transparency and compliance documentation ❏ Human-friendly model explanations, visualizations, rules, and text mining ❏ Built-in auditing, model health monitoring, and management ❏ Governed access for usage, APIs, and extensions ❏ Support for collaboration between team members
  23. 23. Confidential. ©2018 DataRobot, Inc. – All rights reserved Demo
  24. 24. Confidential. ©2018 DataRobot, Inc. – All rights reserved Fuse AI DNA into unique enterprise DNA Democratization CollaborationSkeptic Single solution Automation-first Data Science AI-driven $VALUE #OFUSECASES “AI will crush you!” Ok, we’ll explore one AI POC. . Wow. $20M from one use case!?! What else can we do? Great. We’re delivering far more value to business, faster. Let’s empower and mentor more data-savvy talent. Success. We’re changing the game in our industry. Our groups are working together on AI projects driving better outcomes.
  25. 25. Confidential. ©2018 DataRobot, Inc. – All rights reserved Phase 2 Phase 3 Phase 1 Training Train users on DataRobot platform Train executives to identify AI opportunities Assistance with initial project Enable users to execute pilot projects Assist with data prep and results interpretation Roadmap and Architecture Prioritize use cases into a 3-year AI roadmap Map organizational capabilities Set up infrastructure and tools Building the AI-Driven Enterprise
  26. 26. Confidential. ©2018 DataRobot, Inc. – All rights reserved Set up AI project best practices Operationalize high-value models Develop applications to consume predictions AI change management processes Explore other AI opportunities Phase 2 Additional Training Train new users Train existing users on new features Establish AI Project Best Practices Define AI Change Management Building the AI-Driven Enterprise
  27. 27. Confidential. ©2018 DataRobot, Inc. – All rights reserved Phase 3 Ongoing Mentoring Ongoing mentoring and operationalization As Needed Support Offer engineering and data science assistance as needed Accountability Set up and track business success metrics Review progress, estimated and actual results Building the AI-Driven Enterprise
  28. 28. Confidential. ©2018 DataRobot, Inc. – All rights reserved Contact us to explore a use case Try DataRobot with your own data Attend DataRobot University Next Steps Confidential. ©2018 DataRobot, Inc. – All rights reserved
  29. 29. Confidential. ©2018 DataRobot, Inc. – All rights reserved
  30. 30. Confidential. ©2018 DataRobot, Inc. – All rights reserved Q&A

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