Interesting "weird data" take, Parul. I would argue that AI has also made it easier to scan public sources and structure unstructured information. I do this with AI startup funding data. But I guess truly defensible moats would involve a combination of access to data sources that aren't easily accessible to others. And some form of existing distribution or network effects that improve as more users contribute data.
This is so on target -> 10 is better than 10k. For health this is going to translate to cohorts of engaged patients collecting all sorts of data on themselves - data that isn't available from anywhere else as it is always siloed, fragmented, by data type and difficult to integrate at the patient level. Rich, deep, data, curated trough the patient's own lens of their lived experience. Their data across ALL modalities. That's what CEtHI is about: creating real world evidence in real time via engaged patients. I love the validation this brings us.
Interesting "weird data" take, Parul. I would argue that AI has also made it easier to scan public sources and structure unstructured information. I do this with AI startup funding data. But I guess truly defensible moats would involve a combination of access to data sources that aren't easily accessible to others. And some form of existing distribution or network effects that improve as more users contribute data.
I agree with everything you wrote Chintan. Thanks for reading.
This is so on target -> 10 is better than 10k. For health this is going to translate to cohorts of engaged patients collecting all sorts of data on themselves - data that isn't available from anywhere else as it is always siloed, fragmented, by data type and difficult to integrate at the patient level. Rich, deep, data, curated trough the patient's own lens of their lived experience. Their data across ALL modalities. That's what CEtHI is about: creating real world evidence in real time via engaged patients. I love the validation this brings us.