Qualitative data is not distinguished explicitly here as such. The speaker focuses rather on the data's format (e.g. textual, sensor data, etc). The way it is described, it sounds like all data including textual data is raw material to be throw into the pot and fed into "Lucy" for analysis (although how exactly this analysis is/would be conducted is not detailed). The potential for data then comes not from the individual data points but from its sheer volume, which can then be analyzed across domains for surprising findings.
Quote from Transcript:
"The data has huge varieties. It's not just textual data that people are typing, it's coming from sensors, it's coming from, it's coming from, from many connected devices, it's coming from radiological images, massive amounts of data being generated. And interesting, the data has varying degrees of veracity. It's not always accurate, it's not always true, we have to find ways of working with different kinds of data, different mediums of data, to in fact, extract valuable information. But one of the things that we'll see as we address the problems of Africa is the ability to relate that data together and to find patterns, and in fact, to find surprises. And as we begin to extract features, find patterns and find connections, we're going to find amazing things. And they will fall right into the bullseye of the kinds of things we're going to need to do in Africa."