Ganes Kesari的动态

Thanks for sharing .. reminds me those HCL days and energy.

Quite practical in the present context! Thanks for the insight Ganes

Thanks for sharing

Thanks for sharing

Good insights Ganes Kesari Definitely will keep these in the mind.

Relevant points , wanted to add model result explainability is a challenge with the advent of black box ML models ..this is a very common pitfall..most of the time simplicity wins since business can relate to that , even at cost of KPI..

Ganes Kesari great way to articulate and align data science with the business. So many times businesses have the tools, however, they cannot get out of their technical heads to align with business strategy/company needs. Kudos!

Good insight. Unlocking the business value is key to data science project. Also building AI mindset is important.

Thanks for sharing! It looks very familiar to me. On my opinion it can scale if the right people start using the right numbers in their daily work. To align that with all the teams is the hard work.

Ganes- All the points are quite pertinent. One other thing (may be it’s covered in the first two points on aligning with business strategy and onboarding data science leader) is to have a clear view on what to expect from Data Science deployment & when and what not to expect. This will help avoid an unfair expectation from the sponsor to pick up an unrealistic project scope and scope creep thereafter and then fail midway. May be we can call it out clearly - “Orienting the sponsors on what to expect from a Data Science program deployment”.