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.

1. Preventive approach
to designing and selling healthy AI systems
Hajime Hotta

2. ENTERPRISE AI MARKET ARISES
$6B
46% year-on-year
growth
202320202017

3. MANY STARTUPS HERE

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.

20. PODDER FUNCTIONALITIES

21. GRAPHICAL DATA PIPELINE MANAGEMENT

22. EASY FOUR STEPS TO GO
EASY FOUR STEPS TO GO

23. CONCUSSION
Technology
Platform
Project
Management