[VFS 2019] Preventive Approach to Designing and Selling Healthy AI System
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From Tokyo, Hajime Hotta is a serial entrepreneur who's had several successful ventures in Japan. He invented and led the core product at Cirius Technologies, which was acquired by Yahoo Japan, and also led the series A funding at Naked Tech, which was sold to Mixi Japan. He has a PhD in Artificial Intelligence and a strong background in AI and AI-web application. His presentation at Vietnam Frontier Summit will be insightful enough about building and selling healthy AI systems.
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[VFS 2019] Preventive Approach to Designing and Selling Healthy AI System
- 1. Preventive approach to designing and selling healthy AI systems Hajime Hotta
- 2. ENTERPRISE AI MARKET ARISES $6B 46% year-on-year growth 202320202017
- 4. AUTOMATION HAPPENS IN BIG ENTERPRISES AI Benefit Company Size The Quality of AI Company size matters to benefits Regardless of the size, cost of making AI models are the same
- 5. SELF-INTRODUCTION US + Japan + Vietnam + Taiwan UK + Singapore + Vietnam Hong Kong + Japan + India Document Reading And Voice Recognition Human-in-the-loop AI Development Platform Early-Stage AI startup Investment
- 6. CLIENTS TO SERVE +100 more
- 7. REAL SALES OPERATIONS $10-20k $200-500k $1M+ PoC Minimum Viable Product Expansion
- 8. NEED PRODUCTION CAPABILITY AT SCALE PoC Minimum Viable Product Expansion AI models to work Appropriately at production environment Flexibility, Continuous Deployability and Scalability
- 9. WHAT COULD BE THE DIFFICULTY OF ENTERPRISE SOFTWARE?
- 10. ERRORS COULD BE FATAL
- 11. TWO KEY SUCCESS FACTORS Project Management Technology Platform
- 12. AI PROJECT MANAGEMENT MATRIX Conventional Project Management AI Project Management
- 13. HAJIME’S AI-PM MATRIX THEORY Technical Uncertainty Specification Uncertainty Conventio nal Agile Project Manageme nt AI Project Manageme nt
- 14. Certainty Uncertainty Base Strategy Plan everything first Track the progress Maximize options Almost opposite Examples of actions - Breakdown into WBS - Progress Checking and Report - Decide specifications and Agree on it among all stakeholders - Business goal alignment instead of specification agreement - Hold several options in hands on the specs without decision - Validation Planning - Multiple scenario designsIteration and Validation AI-PM IS OPPOSITE TO CONVENTIONAL PM
- 15. RISK SQUEEZE THEORY Commitment Line Optimistic Line Time Performance Delivery Squeeze Validation Validation
- 16. TWO KEY SUCCESS FACTORS Technology Platform Project Management
- 17. SYSTEM RISKS - Prediction Accuracy Deterioration - Data Irregularity - Change of specs while developments ongoing - Extended demands coming in - Performance Risks - Increase of error-handling cases later - Logging / Data access errors - Fine-tuner errors - Library auto-upgrades with version inconsistency - Failure in auto-scaling - Fatal Errors on Recovery Process
- 18. ENSURE THE HEALTH OF AI SYSTEMS
- 19. PODDER IS A PLATFORM TO ENSURE THE HEALTH Immediate, intuitive pre/post-process integration. You can utilize our various modules to make models workable. Robust infrastructure in minutes. You don’t need to build complex and difficult infrastructure on your own. Version control, CI/CD are supported. You won’t be bothered with manual model integration tests anymore.
- 21. GRAPHICAL DATA PIPELINE MANAGEMENT
- 22. EASY FOUR STEPS TO GO EASY FOUR STEPS TO GO