Searching...
9 results for “data aggregation”
...data. They would clean it up, and they would sell it to hedge funds. You know, just like satellite companies sometimes would look at the number of cussed cars in a Walmart, and then they would literally back in the day, Alex, count them. And then the
15:46 / 16:48
from transcript15:46 – 16:48
...card data. They would pay the credit card companies for the aggregate data. They would clean it up, and they would sell it to hedge funds. You know, just like satellite companies sometimes would look at the number of cussed cars in a Walmart, and the
16:17 / 17:35
from transcript16:17 – 17:35
...data into the same format so that you can run that very, very simple calculation of what is the average. So to me, that pinpoint of actually getting data into a format that allows you to ask even a simple question is this idea of data processing. And
6:00 / 7:02
from transcript6:00 – 7:02
...Data science, on the other hand, is more for what we use it for more at the individual stock level, more, I would say, not as easy to get at information. It is information that you have to go source, whether that's web scraping or credit card data or
23:09 / 24:18
from transcript23:09 – 24:18
...data science such as cohort analysis. So we may be looking at a software business or consumer business and trying to have more thesis impacting information. And so we may say, are the new cohorts really coming on at improved lifetime values? We could
23:47 / 25:02
from transcript23:47 – 25:02
...sources. There's this concept of unstructured versus structured data. Anything that's rows and columns that fits into a spreadsheet is more structured data, but the reality is most of the data out there is unstructured. It could be log files that are
6:38 / 7:55
from transcript6:38 – 7:55
The agent goes, gets the earnings report, gets all the previous earnings reports, gets all the competitors, earnings reports, gets everything that's going on in the market, does the full analysis, the news, everything, puts it all together, and it ca
4:23 / 5:37
from transcript4:23 – 5:37
...Databricks as well. More and more is being done by agents and being automated, so you can just do it faster, and you can segment more fine grain. Because before you had to create the content for the groups, that was a heavy content creation was somet
5:13 / 6:22
from transcript5:13 – 6:22
...Data in in in smaller chunks is less powerful. But I'm also aware of what you said earlier about the sunscreen example, which sometimes an incredibly narrow slice of data is very, very powerful. But that's all from the perspective of these large AI c
42:34 / 43:57
from transcript42:34 – 43:57
Have a podcast?
Run your podcast through Clypt
Get ranked clips, hooks, and ready-to-post copy from your own episodes. Free to try.