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[VFS 2019] Project Management for AI-based Product - A Better Approach
The document discusses project management strategies for AI-based products, emphasizing the need for collaboration between AI teams and enterprises. It highlights issues such as data management, client expectations, and the importance of project success being defined as mutual satisfaction. A new approach suggests AI consultants should bridge the gap between business needs and technical solutions, facilitating better communication and project outcomes.
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[VFS 2019] Project Management for AI-based Product - A Better Approach
- 1. Project Management forAI based product A better approach Eugene Nguyen Technical Consultant - Nexus Frontier Tech Lecturer - PMP training program - PMA Vietnam
- 2. AI is atrend, let's do this
- 3. Wait, ... whatshould we do?
- 4. AI Team Enduser AI - based product
- 5. Product End user AI -integrated product AI Team
- 6. –Johnny Appleseed “Type aquote here.”
- 7. Product End user Sometimeit work like this AI Team
- 8. Enterprise End user Oreven like this AI Company
- 9. At this point, everythingwent wrong
- 10. What AI teamthink • 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 Enterpriseside • 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.
- 13. Everything is done Let'shave a party, yeah yeah
- 14. But wait, ...why should we have a party?
- 15.
- 16. Project success On time Inbudget Good Accepatable quality Do what client want
- 17.
- 18. New approach of projectsuccess
- 19. Project sucess =everyone happy Manager Client Team Project manager End user Line worker Functional manager Vendor Investor Sponsor
- 20. Quality = What wedeliver What they expect
- 21. 2 main taskof project management Low down the expectation of client Deliver the product
- 22. Educate client Machine doeverything Machine do - Human check Human do - Machine check Human do everything Machine prefill - Human complete Maybe?
- 23. Continous delivery Initiate ResearchImplement Delivery day Adjust Deploy
- 24. On client side InitiateResearch 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'sbetter, 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 justdeal with client's product We deal with them also
- 27.
- 28. Enterprise End user We'rehere AI Company
- 29. Enterprise Then, ... AI CompanyAI Consultant
- 30. AI consultant • Understandthe 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 ... AICompany AI Consultant
- 32. Enterprise Or even maybe AIConsultant AI Company
- 33. We don't justdeal with client's product We deal with them also