I think the feasibility and promises of AI agents in data science and analysis has been established. automations, workflows, all easy now. at the end of the day, AI still needs hand-holding even in data analysis so there's that.
Data validity is such big one! I'v heard that question several times in my career, "is it accurate?", to which my response is "it is accurate in that it reflects the data entered into the CRM by your team". Yes, it is technically accurate, but it is only as valid as the data captured. Validity and accuracy are two different things, although both are important.
Absolutely. you nailed it. i think traditional validation is sometimes what more people (analysts and CRM teams) are worried about. Validity? well, that's why we write about these things.
What is your opinion on creating an AI agent framework capable of performing data analysis?
I think the feasibility and promises of AI agents in data science and analysis has been established. automations, workflows, all easy now. at the end of the day, AI still needs hand-holding even in data analysis so there's that.
Data validity is such big one! I'v heard that question several times in my career, "is it accurate?", to which my response is "it is accurate in that it reflects the data entered into the CRM by your team". Yes, it is technically accurate, but it is only as valid as the data captured. Validity and accuracy are two different things, although both are important.
Absolutely. you nailed it. i think traditional validation is sometimes what more people (analysts and CRM teams) are worried about. Validity? well, that's why we write about these things.
Thank you Colette!