Legendary stuff as usual ! Raj what would you call this sort of role as? 1)Someone who can understand application design, infrastructure design both? 2) Someone who can understand on what is the Data we have , What is our Final outcome expected from this Data? (Feature Engineering : Model Selection?) 3) Also this role will need to be a Typical Data Scientist enabled skills set as well?
Hi Ganesh, Thanks for your note of appreciate and your question. In general, the more this person understand data/application/ML models/architecture/user-experience/the business domain/change management/leadership/strategy - the better. However, that's a very rare breed. So if you were to prioritize (making some assumptions), the important things to understand are data, ML models at a conceptual level, deployment challenges, and how to keep those deployments up to data (this is not one of those deploy and forget things unfortunately.) Infrastructure design, not that much, but if someone has that knowledge, that's great - because it will help in choosing among deployment options like onsite, cloud, etc. Feature engineering more than model selection, because FE is highly dependent on domain knowledge. Data scientists may blindly apply techniques like PCA, but with the help of a domain expert, you can choose heuristically better features which in turn will give you better results. A data scientist moving into this role will be great, but typically I'm expecting more business people moving into this role. Raj
Good Morning sir 🙏 😊...I regularly check your videos and I found very interesting and helpful....sir I have a request..please suggest how we can use AI in business process reengineering in this new normal landscape of business...thank you sir..
Hi Ramesh! Great video! I would like to know if you have some literature about project management applied to ML/AI. I'm a project manager and I'm being difficulty in how to design and manage ML/AI projects. Could you help me? Thanks a lot!
Legendary stuff as usual ! Raj what would you call this sort of role as?
1)Someone who can understand application design, infrastructure design both?
2) Someone who can understand on what is the Data we have , What is our Final outcome expected from this Data? (Feature Engineering : Model Selection?)
3) Also this role will need to be a Typical Data Scientist enabled skills set as well?
Hi Ganesh, Thanks for your note of appreciate and your question.
In general, the more this person understand data/application/ML models/architecture/user-experience/the business domain/change management/leadership/strategy - the better. However, that's a very rare breed.
So if you were to prioritize (making some assumptions), the important things to understand are data, ML models at a conceptual level, deployment challenges, and how to keep those deployments up to data (this is not one of those deploy and forget things unfortunately.) Infrastructure design, not that much, but if someone has that knowledge, that's great - because it will help in choosing among deployment options like onsite, cloud, etc.
Feature engineering more than model selection, because FE is highly dependent on domain knowledge. Data scientists may blindly apply techniques like PCA, but with the help of a domain expert, you can choose heuristically better features which in turn will give you better results.
A data scientist moving into this role will be great, but typically I'm expecting more business people moving into this role.
Raj
@@RajRamesh Thank you for answering question with great amount of details , thank you Raj once again cheers !
4:52 makes the most important statement. Thank you
Good Morning sir 🙏 😊...I regularly check your videos and I found very interesting and helpful....sir I have a request..please suggest how we can use AI in business process reengineering in this new normal landscape of business...thank you sir..
Try this: czcams.com/video/dNZXLH4xeAs/video.html
Gold Standard Content sir😍
Always on point. Well done..
Hi Ramesh! Great video! I would like to know if you have some literature about project management applied to ML/AI. I'm a project manager and I'm being difficulty in how to design and manage ML/AI projects. Could you help me? Thanks a lot!
Sure, here's some information you might find useful: www.jeremyjordan.me/ml-projects-guide/
@@RajRamesh Thank you so much!
Hi Raj Ramesh ,
Do you think Product Managers who comes from technical background and understands AI would be better fit for this role?
Yes definitely - and there might be skills to build/develop but its a good starting point.
@@RajRamesh Thanks.
Mind the expectation gap.