DataRobot - 머신러닝 자동화 플랫폼
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The document discusses how DataRobot provides an automated machine learning platform to help address the shortage of data scientists. It notes that while demand for data scientists is increasing due to the growth of data and need to extract insights, the supply of data scientists cannot keep up. DataRobot aims to turn more data-focused resources into effective data scientists and make existing data scientists more productive by automating workflows like data preparation, model training, evaluation and deployment. This helps organizations capitalize on their data and gain business value from AI and machine learning applications.
DataRobot - 머신러닝 자동화 플랫폼
- 1. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved copyright @2016 by DataRobot, Inc. All Rights Reserved AUTOMATED MACHINE LEARNING
- 2. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved DATA is the new oil
- 3. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved AI & Machine Learning monetizes the data
- 4. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved AI will generate $2.9 TRILLION in business value and recover 6.2 BILLION hours of worker productivity by 2021. - Gartner Predictions (Forbes) - THE IMPENDING AI DIVIDE
- 5. Confidential | Copyright © DataRobot, Inc. | All Rights ReservedSOURCE: https://go.forrester.com/wp-content/uploads/Forrester_Predictions_2017_-Artificial_Intelligence_Will_Drive_The_Insights_Revolution.pdf AI-Driven companies will take $1.2 TRILLION from competitors by 2020. - Forrester Predictions 2017 - Artificial Intelligence Will Drive The Insights Revolution THE IMPENDING AI DIVIDE
- 6. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved $120M+ 200+ IN FUNDING 500,000,000+ MODELS BUILT ON DATAROBOT CLOUD INSURANCE & BANKING HEALTHCARE FINTECH ON-DEMAND SERVICES MANY MORE 50+ TOP 3 FINISHES The world’s most advanced Automated Machine Learning platform DATA SCIENTISTS & ENGINEERS (OF 400+) 2012FOUNDED HQ in Boston, MA #1 RANKED DATA SCIENTISTS 4
- 7. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved© DataRobot, Inc. All rights reserved. Confidential Unmet demand for Data Scientist What Problem Are We Solving? Demand driven by the exponential increase in data and the competitive pressure to extract value from it. Supply driven by the availability of data scientists and technology. TIME
- 8. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved© DataRobot, Inc. All rights reserved. Confidential Time Turn additional data centric resources into Data Scientists Make Data Scientists more productive We fill the shortage of data science by accomplishing two goals... Data Science Shortage
- 9. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved BEST PRACTICES AND TECHNOLOGY Jeremy Achin CEO & Co-Founder Highest: 20th Xavier Conort Chief Data Scientist Highest: 1st Tom de Godoy CTO & Co-Founder Highest: 20th Owen Zhang Product Advisor Highest: 1st Sergey Yurgenson Data Scientist Highest: 1st The top ranked Data Scientists in the world MASTER MASTER MASTER MASTER MASTER The best technologies in the world Amanda Schierz Data Scientist Current: 1st Female, 1st in UK MASTER
- 10. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved THE AI BOTTLENECK: DATA SCIENTISTS Data Scientist Programming Skills Math & Stats Domain Expertise PREREQUISITES 1. Knowledge of the business 2. Knowledge of the data 3. Ability to write code to gather data 4. Ability to write code to explore/inspect data 5. Ability to write code to manipulate data 6. Ability to write code to extract actionable intel 7. Ability to write code to build models 8. Ability to write code to implement models 9. Foundational statistics 10. Internals of algorithms 11. Practical knowledge and experience 12. Knowing how to interpret and explain models
- 11. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved BOTTLENECK SOLUTION - AUTOMATION (PLATFORM – Cloud or On-Premise) Programming Skills Math & Stats Domain Expertise AUTOMATED (Parallel computing) PREREQUISITES 1. Knowledge of the business 2. Knowledge of the data 3. Ability to write code to gather data 4. Ability to write code to explore/inspect data 5. Ability to write code to manipulate data 6. Ability to write code to extract actionable intel 7. Ability to write code to build models 8. Ability to write code to implement models 9. Foundational statistics 10. Internals of algorithms 11. Practical knowledge and experience 12. Knowing how to interpret and explain models
- 12. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved SAMPLE CUSTOMERS InsuranceBanking FinTech HiTech OtherHealthcare
- 13. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved $50 Million in annual value in under 18 months
- 14. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Workflow used to take two months down to two minutes with DataRobot
- 15. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved 90% reduction in modeling time + 15% uplift in accuracy
- 16. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Kurnia said that since she started using the software, she has been able to reduce loan defaults by about 5%.
- 17. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved THE OPPORTUNITY FOR MACHINE LEARNING IN ANY BUSINESS Marketing Predicting customer Lifetime Value (LTV) Churn Customer segmentation Product mix (best product mix to reduce churn) Cross selling/recommendation algorithms Up selling Channel optimization Discount targeting Responses rates Reactivation likelihood Adwords optimization and ad buying In store traffic patterns Aircraft scheduling Sales Lead prioritization Demand forecasting Pricing Market Basket Inventory management / Dynamic Pricing Promos / Upgrades / Offers Human Resources Resume screening Employee churn Training recommendation Talent management Risk Credit risk Fraud detection Accounts Payable Recovery Anti-money laundering Insurance Claims prediction Readmission Risk Warranty Analytics Claim Prediction Logistics Procurement Warehousing Cost Analysis Product life cycle Demand Forecast Assembly Turnover Banking Insurance Healthcare Media Pharma Telco Retail Government Energy Transportation
- 18. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved DataRobot University | DataRobot Essentials Gain the skills you need to make the most of the automated capabilities of DataRobot to explore, model, and act on data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice on best practices in machine learning, and guidance on how to integrate predictions into your production systems.
- 19. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Some Features Before Live Demo
- 20. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Start with an intuitive workflow ...
- 21. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Develop a lot of accurate models … at scale
- 22. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Deploy them effortlessly … anywhere
- 23. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Learn from your data ...
- 24. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Use them in day to day business decision
- 25. Confidential | Copyright © DataRobot, Inc. | All Rights Reserved Thank you! Sutaek Kim DataRobot [email protected]
Editor's Notes
- #2: This version of the presentation is meant to be a short
- #5: It’s a struggle to think of a company or organization that won’t be affected by AI. In fact, according to a Forrester study, there will be an incredible $1.2 Trillion that will be transferred to companies that are AI Driven. We call it the AI Divide, which will separate companies into haves and have-nots. With chaos comes a huge opportunity and equally big risk. Each of us has to decide on what side of the technology divide we’re going to be on.
- #6: It’s a struggle to think of a company or organization that won’t be affected by AI. In fact, according to a Forrester study, there will be an incredible $1.2 Trillion that will be transferred to companies that are AI Driven. We call it the AI Divide, which will separate companies into haves and have-nots. With chaos comes a huge opportunity and equally big risk. Each of us has to decide on what side of the technology divide we’re going to be on.
- #7: Company Overview - 1.5 mins