![18 © Cloudera, Inc. All rights reserved.
IT’S NOT EASY..
Now trending: barriers to success & scale
• Expertise, experience data and data products aren’t being shared. Data is
siloed with no central catalog. Teams end up duplicating work (and code) to
collect, clean and load datasets.
• Data science teams sit in [Org] and pursue technically interesting projects, but
without aligning to business properties... they become ineffective.
• Teams gravitate towards complexity, thinking complex = better. They focus
on the algorithm as the solution to all their problems, but often the real
problem is in their data.](https://image.slidesharecdn.com/051310-cloudera-181118100504/85/Big-Data-LDN-2018-A-LOOK-INSIDE-APPLIED-MACHINE-LEARNING-18-320.jpg)
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Big Data LDN 2018: A LOOK INSIDE APPLIED MACHINE LEARNING
- 1. A Look Inside Applied ML Brian Goral | Cloudera Fast Forward Labs
- 2. 2 © Cloudera, Inc. All rights reserved. THE OPPORTUNITY: THE AI-FIRST ENTERPRISE PROTECT business CONNECT products & services (IoT) GROW customer insights Thousands of opportunities for ML and AI to unlock value within the enterprise ● Predictive maintenance ● Logistics optimization ● Self-driving cars ● Customer churn ● Marketing effectiveness ● Next best action ● Insider threat prevention ● Fraud prevention ● Risk analysis
- 3. 3© Cloudera, Inc. All rights reserved. MULTINATIONAL ACCOUNTING & PROFESSIONAL SERVICES FIRM • Accounting questionnaire automation : hundreds of person hours per client saved • NLP of Tax Code and legal filings: new data-based client services
- 4. 4© Cloudera, Inc. All rights reserved. GLOBAL INTERNET SERVICES & TELCO PROVIDER • Modeling system and individual relationships in order to understand and predict partner and customer behavior • Experimentation framework for custom automated interventions • Developed advanced propensity to cross- sell/upsell models
- 5. 5© Cloudera, Inc. All rights reserved. CHESAPEAKE ENERGY • IoT data streaming from more than 70 trillion sensor data points • Predictive maintenance anticipates shutdowns up to 72 hours in advance. • Data analytics across systems maintains production levels while slashing capital costs by more than 80 percent.
- 6. 6 © Cloudera, Inc. All rights reserved. US PUBLIC SECTOR • Domain generated algorithms (DGA) for malware threat detection. • Builds on Probabilistic Programming Research and methods.
- 7. 7 © Cloudera, Inc. All rights reserved. LET’S MAKE MACHINE LEARNING BORING.
- 8. 8 © Cloudera, Inc. All rights reserved. Puppy or Bagel?
- 9. 9 © Cloudera, Inc. All rights reserved. Puppy, Muffin, or Fried Chicken?
- 10. 10 © Cloudera, Inc. All rights reserved. 1. 2.
- 11. 11 © Cloudera, Inc. All rights reserved. MOVING FROM EXPLORATION TO PRODUCTION OF ML & AI WE’RE WITNESSING THE INDUSTRIALIZATION OF AI FROM THE LAB… TO THE FACTORY
- 12. 12 © Cloudera, Inc. All rights reserved. LET’S MAKE MACHINE LEARNING BORING.
- 13. 13 © Cloudera, Inc. All rights reserved. WORKFLOWS FOR EFFECTIVE ML DONE WELL, THE VALUE GENERATED BY MACHINE LEARNING GROWS OVER TIME 13 DEVELOPMENT PRODUCTIONSTRATEGY critical business infrastructure research and explorationprioritization and use case identification
- 14. 14 © Cloudera, Inc. All rights reserved. SCALING ML & AI IN THE ENTERPRISE WHETHER YOU ARE A FORTUNE 100 OR A STARTUP STRATEGY PEOPLE & ORGANIZATION TECHNOLOGYSECURITY, GOVERNANCE, COMPLIANCE
- 15. 15© Cloudera, Inc. All rights reserved. OUR APPROACH Modern enterprise platform, tools and expert guidance to help you unlock business value with ML/AI Agile platform to build, train, and deploy many scalable ML applications Enterprise data science tools to accelerate team productivity Expert guidance, services & training to fast track value & scale
- 16. 16 © Cloudera, Inc. All rights reserved.16 AI MACHINE LEARNING DATA SCIENCE ANALYTICS "BIG DATA" PATH TO AI-FIRST
- 17. 17 © Cloudera, Inc. All rights reserved. END-TO-END INFRASTRUCTURE TO MAKE THIS EASY Systematic process to discover and prioritize opportunities for ML and AI OPPORTUNITY DISCOVERY “AI FACTORY” Agile platform to build, train, and deploy ML applications BUSINESS TRANSFORMATION Capability to absorb business transformation and discover next opportunity
- 18. 18 © Cloudera, Inc. All rights reserved. IT’S NOT EASY.. Now trending: barriers to success & scale • Expertise, experience data and data products aren’t being shared. Data is siloed with no central catalog. Teams end up duplicating work (and code) to collect, clean and load datasets. • Data science teams sit in [Org] and pursue technically interesting projects, but without aligning to business properties... they become ineffective. • Teams gravitate towards complexity, thinking complex = better. They focus on the algorithm as the solution to all their problems, but often the real problem is in their data.
- 19. 19 © Cloudera, Inc. All rights reserved. THE CHALLENGE Balance these needs for self-service DATA SCIENCE • Access to granular data • Flexibility • Preferred open source tools • Elastic provisioning • Compute • Storage • Reproducible research • Path to production DATA MANAGEMENT • Security • Governance • Standards • Low maintenance • Low cost • Self-service access
- 20. 20 © Cloudera, Inc. All rights reserved. THE TYPICAL SOLUTION “If I can’t use my favorite tools, I’ll…” • Copy data to my laptop • Copy data to a data science appliance • Copy data to a cloud service Why this is a problem: • Complicates security • Breaks data governance • Adds latency to process • Makes collaboration more difficult • Complicates model management and deployment • Creates infrastructure silos
- 21. 21 © Cloudera, Inc. All rights reserved. A MODERN DATA SCIENCE ARCHITECTURE Containerized environments with scalable, on-demand compute • Built with Docker and Kubernetes • Isolated, reproducible user environments • Supports both big and small data • Local Python, R, Scala runtimes • Schedule & share GPU resources • Run Spark, Impala, and other CDH services • Secure and governed by default • Easy, audited access to Kerberized clusters • Leverages SDX platform services • Deployed with Cloudera Manager CDH CDH Cloudera Manager gateway node(s) CDH nodes Hive, HDFS, ... CDSW CDSW ... Master ... Engine EngineEngine EngineEngine
- 22. 22 © Cloudera, Inc. All rights reserved. ACCELERATING THREE STAGES OF MACHINE LEARNING Manage models Deploy models Monitor performance DEPLOYDEVELOP Explore data Develop models Share results TRAIN Optimize parameters Track experiments Compare performance Enterprise AI platform supporting model development, training, and deployment
- 23. 28 © Cloudera, Inc. All rights reserved. CLOUDERA FAST FORWARD LABS
- 24. Cloudera Fast Forward Labs’ mission is to fast track knowledge transfer from the lab to industry. We bring technical innovations to industry applications. You can think of us as your data nerd best friends.
- 25. 30 CLOUDERA FAST FORWARD LABS ADVISING & RESEARCHML APPLICATION DEVELOPMENT ML STRATEGY ENGAGEMENT Evaluates and, if feasible, delivers an ML application (model, code, docs) using your data on Cloudera architecture Delivers a strategy prescription focused on ML, by identifying and prioritizing ML use cases, and recommending process design Ongoing ML expert advising plus access to CFFL research reports and prototypes. Expert guidance to accelerate value and scale
- 26. 31© Cloudera, Inc. All rights reserved. APPLIED Machine Learning Practical guidance for implementing the recently possible Machine learning with privacy across edge devices • Breakthrough technology for use-cases including industrial predictive maintenance • Train models on distributed data across end-points and share models -- not data -- for privacy and efficiency • Shift the burden of training out of datacenter infrastructure and onto edge devices Highly efficient models for extracting value from real time data streams • Orders-of-magnitude efficiency boost without scaling compute • Enables shifting computation to devices • Efficiently track trends and correlation across multiple data series
- 27. 32© Cloudera, Inc. All rights reserved. APPLIED Machine Learning Practical guidance for implementing the recently possible Understanding what’s inside the black boxes • Customer churn reasoning • Regulatory compliance and bias testing • Reverse engineering 3rd party models Makes language computable • Quickly derive insights from large amounts of text data • Understand customers based on call center transcripts and recommend actions • Combine 360 data to develop cross-sell/up-sell profiles
- 28. 33© Cloudera, Inc. All rights reserved. STATE STREET VERUS New revenue and new product opportunities
- 29. 34© Cloudera, Inc. All rights reserved. FORTUNE 500 FINANCIAL SERVICES & INSURANCE PROVIDER • ML analytics on call center transcripts and customer history to deliver personalization that boosts conversion • Data discovery, elimination of data & workflow silos, and optimization of team structure driving massive operational efficiencies
- 30. 35 © Cloudera, Inc. All rights reserved. MACHINE LEARNING IN BANKING & FINANCIAL SERVICES Investments in a few major areas Fraud, Risk & Security Investment DecisionsCustomer Insights & Experience
- 31. 36 © Cloudera, Inc. All rights reserved. MACHINE LEARNING IN TELECOMMUNICATIONS Investments in a few major areas Network Optimization Next Best Offer | Dynamic Marketing Customer Churn | Propensity to Buy
- 32. 37 © Cloudera, Inc. All rights reserved. MACHINE LEARNING IN MFG & IOT Investments in a few major areas Automation Digital Ecosystem OptimizationRisk Mitigation
- 33. THANK YOU
- 34. 40© Cloudera, Inc. All rights reserved. GLOBAL ELECTRONICS MANUFACTURER - CONNECTIVITY & SENSORS Applied ML Interpretability, advanced recommendation systems and RNNs to identify customer cross-sell & upsell opportunities
- 35. 41 © Cloudera, Inc. All rights reserved. TELCO
- 36. 42 © Cloudera, Inc. All rights reserved. MFG & IOT
- 37. 43 © Cloudera, Inc. All rights reserved. BANKING, FINANCIAL SERVICES & INSURANCE
- 38. 44© Cloudera, Inc. All rights reserved. RECENT TOPICS Practical guidance for implementing the recently possible Prediction with confidence • Interpretable models that quantify uncertainty • Investment market pricing prediction • Fraud & anomaly detection Makes language computable • Derive insights from large amounts of unstructured text data • Call center transcript analysis and recommended actions • News analysis and insight alerts for traders
- 39. 46 © Cloudera, Inc. All rights reserved. AS NEW TECH CAPABILITIES EMERGE, BE READY