As a Technical Consultant at Nexus FrontierTech and a PMP Training lecturer, Eugene Nguyen has a lot of experience with AI project management. This will present a new approach to the activity with AI-based product.

1. Project Management for AI based product
A better approach
Eugene Nguyen
Technical Consultant - Nexus Frontier Tech
Lecturer - PMP training program - PMA Vietnam

2. AI is a trend, let's do this

3. Wait, ... what should we do?

4. AI Team End user
AI - based product

5. Product
End user
AI - integrated product
AI Team

6. –Johnny Appleseed
“Type a quote here.”

7. Product End user
Sometime it work like this
AI Team

8. Enterprise End user
Or even like this
AI Company

9. At this point,
everything went wrong

10. What AI team think
• They have the data, very big and valuable data
• They have the problem, they need solution
• They stuck in technical
• We're technical & scientist
• Main problem is algorithm

11. Meantime in Enterprise side
• We have huge data, mostly trash, and we have to do
something
• We don't know what to do with those data
• We don't even know what we can do with those data
• We need some experts. Anyone can tell us what to do
• This is even not a problem. We just want to do something
new

12. AI project
management

13. Everything is done
Let's have a party, yeah yeah

14. But wait, ... why should we have a party?

15. Project success

16. Project success
On time
In budget
Good
Accepatable
quality
Do what
client want

17. Is that true?

18. New approach of
project success

19. Project sucess = everyone happy
Manager
Client Team
Project manager
End user
Line worker
Functional manager
Vendor
Investor
Sponsor

20. Quality =
What we deliver
What they expect

21. 2 main task of project management
Low down the expectation of client
Deliver the product

22. Educate client
Machine do everything
Machine do - Human check
Human do - Machine check
Human do everything
Machine prefill - Human complete
Maybe?

23. Continous delivery
Initiate Research Implement
Delivery day
Adjust Deploy

24. On client side
Initiate Research Implement
WTF are you delivery???
Adjust Deploy
I think
they're
doing
good
I'm not so sure,
they don't tell me
anything
I don't
really
know
what
they're
doing
We
shouldn't
believe
them at
the start
We
never
can
finish
this
I give up, let's close it here

25. Better approach
Deliver
That's
not much
but
understand
-able
It's better,
we can do some
adjust
I think we
are going in
good way
It's nearly
done
Yes,
let's publish
this one
Deliver Deliver Deliver Deliver
Give them
something
Give them
something
Give them
something
Give them
something
Give them
something

26. We don't just deal with client's product
We deal with them also

27. What next

28. Enterprise End user
We're here
AI Company

29. Enterprise
Then, ...
AI Company AI Consultant

30. AI consultant
• Understand the business, know the technology
• Work as a consultant, not a data scientist
• Bridge between Enterprise and AI team / company
• Do the project management
• Identify problem and cooperate to build solution

31. Enterprise
Or maybe ...
AI Company
AI Consultant

32. Enterprise
Or even maybe
AI Consultant
AI Company

33. We don't just deal with client's product
We deal with them also