00:00AI as apps offers a lot of solutions to our scope of work. One of them is micro-planning
00:08because when we operate in countries and we roll out vaccines, there are very difficult
00:15pockets that we encounter. These are pockets where girls don't go to school, where kids don't get
00:19vaccinated, where there's an intensity of poverty and squalor, and it is difficult to pinpoint those
00:29locations at times. And AI, in fact, we've done some pilots which have given us very promising
00:36results because with the use of different data sets and by appropriately triangulating them,
00:42you can pinpoint and micro-plan intervention in these different difficult locations. So that's
00:48one very important, for lack of a better expression, use case that we've identified,
00:54piloted and now scaling up the intervention. The second important, again, I'd say use case is
01:03demand forecasting. As an entity whose mandate is to facilitate access to vaccines,
01:12we want to forecast demand because we want to budget appropriately. And AI tools give very
01:19good information as far as demand forecasting is concerned. Then, of course, supply chain
01:23optimization because we have a supply chain operation which starts from the manufacturing
01:27facility and ends in the last mile warehouse. And AI provides some very cogent solutions in that
01:36space as well. And there are many other examples of where we've already piloted and where we're
01:42upscaling our interventions.
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