Sensors, why did this not get detected . And owe the answer is and you can tell if you look at the map that nobody thought to put these sensors around the white house or around the highincome areas of washington, d. C. So it was never measured. So it wasnt actually applied in this case to a wealthy area. We should look at how we apply it to accept the widest set of individuals. We need to talk about collaboration coordination. One of the interesting questions i think for government right now, is to ask themselves why didnt we create uber . If you think about this, you know, the problem that uber tried to solve, the really fundamental problem of matching passenger to drivers is really a taxi problem, this was something that cities and states knew they had. They were familiar with rolling out technology, they had done this in the past but they didnt probably the number one reason this problem is solved because they wanted to solve their own needs. They werent saying all these other citie
They look at oil pressure, temperature, speed and they basically were able to do prevent of maintenance to reduce down time, they were able to have service sooner and increase the reliability of their system. So fewer breakdowns, longer Vehicles Service life and they were able to save 5 million per year in maintenance costs. So substantial impact. We can think about disrupting how we do things in government. A lot of people in this room are wearing activity trackers. Maybe breaks should depend on how much activity you do. Sitting in a patrol car versus walking for eight hours is very different. Maybe we can start rethinking how we do labor based on these type of technologies. Second, we have to start thinking how we can make smart the default. Were seeing this in some locations. California has decided by 2025, all water meters have to be smart. And we can see really big impacts sometimes when we to do this. In mumbai, they were able to cut water consumption by 50 . We need to be starti