WEBVTT 1 00:00:00.930 --> 00:00:02.920 The public sector prizes stability 2 00:00:02.920 --> 00:00:04.850 and deliberation by design. 3 00:00:04.850 --> 00:00:08.030 Notions of fairness, equity, and careful consensus tend 4 00:00:08.030 --> 00:00:10.090 to guide decision-making. 5 00:00:10.090 --> 00:00:14.230 However, in these times, careful consensus falls short. 6 00:00:14.230 --> 00:00:17.466 Today, the public sector needs to be resilient. 7 00:00:17.466 --> 00:00:19.966 (light music) 8 00:00:28.380 --> 00:00:30.670 A resilient organization must be adaptive 9 00:00:30.670 --> 00:00:33.030 to changing circumstances. 10 00:00:33.030 --> 00:00:36.707 Take for example, the government's preparedness for 2020 11 00:00:36.707 --> 00:00:39.310 and a massive health care crisis. 12 00:00:39.310 --> 00:00:41.240 For years, the federal government stockpiled 13 00:00:41.240 --> 00:00:43.690 medical equipment and PPE, 14 00:00:43.690 --> 00:00:45.731 but the stockpile ebbed and flowed 15 00:00:45.731 --> 00:00:49.080 as the political and health environment changed. 16 00:00:49.080 --> 00:00:51.180 The national stockpile is designed to ensure 17 00:00:51.180 --> 00:00:53.790 that supplies needed are available 18 00:00:53.790 --> 00:00:55.990 in a fast-moving pandemic. 19 00:00:55.990 --> 00:00:59.410 However, when it came time to put these resources to use, 20 00:00:59.410 --> 00:01:02.260 our level of preparedness and the adaptiveness 21 00:01:02.260 --> 00:01:05.510 of our distribution systems were found lacking. 22 00:01:05.510 --> 00:01:07.470 As the recent pandemic took hold, 23 00:01:07.470 --> 00:01:09.430 the systems that could quickly gather data 24 00:01:09.430 --> 00:01:11.000 and pivot with new information 25 00:01:11.000 --> 00:01:13.870 were able to thrive during the pandemic. 26 00:01:13.870 --> 00:01:17.840 Companies, for example General Motors, switched production 27 00:01:17.840 --> 00:01:21.022 to deliver over one million face masks, 28 00:01:21.022 --> 00:01:26.020 66,000 face shields, and over 600 ventilators. 29 00:01:26.020 --> 00:01:28.430 Then GM shifted back to car production 30 00:01:28.430 --> 00:01:31.150 and they delivered exceptional results. 31 00:01:31.150 --> 00:01:34.290 A great example of adaptiveness. 32 00:01:34.290 --> 00:01:36.870 In contrast, other supply chains, 33 00:01:36.870 --> 00:01:40.685 particularly offshore supply chains, were unable to flex. 34 00:01:40.685 --> 00:01:44.880 A resilient government must be ready for tough times. 35 00:01:44.880 --> 00:01:47.570 It must have the necessary redundancy 36 00:01:47.570 --> 00:01:49.850 and the leverage to flex it. 37 00:01:49.850 --> 00:01:52.920 It must have the capacity to sense, to learn, 38 00:01:52.920 --> 00:01:54.406 and to adapt to change. 39 00:01:54.406 --> 00:01:56.906 (light music)