WEBVTT 9b6a97f1-d6b6-4de9-9569-607d3dd981c7-0 00:00:00.200 --> 00:00:02.920 Polly, thank you so much for joining us here at Dreamforce. 3d715584-4fd4-4485-800a-1f64aa2f5e91-0 00:00:02.920 --> 00:00:05.600 How can companies generate excitement and drive a1b5aa00-063c-4ed7-9834-109c594e2aa1-0 00:00:05.680 --> 00:00:06.520 AI adoption? ee02998e-c12c-4e04-a269-d6c09b782df7-0 00:00:06.920 --> 00:00:08.000 You know, it's kind of funny. 07d16225-84a6-4d6d-9186-34db85ed8305-0 00:00:08.000 --> 00:00:11.525 I think there's a lot more excitement about AI and we don't 07d16225-84a6-4d6d-9186-34db85ed8305-1 00:00:11.525 --> 00:00:12.760 really need any more. 2944962a-d075-4778-aaff-848e9e647178-0 00:00:13.080 --> 00:00:16.903 What we do need to do is to think about what people want 2944962a-d075-4778-aaff-848e9e647178-1 00:00:16.903 --> 00:00:17.440 from AI. d46b391c-76e9-441b-a403-0443d3c57cd9-0 00:00:17.560 --> 00:00:20.360 They want more productivity, they want more efficiency. 2ca337f1-e054-47ce-ba69-00ad45e22f0c-0 00:00:20.360 --> 00:00:23.736 And quite frankly, I think employees and others, they want 2ca337f1-e054-47ce-ba69-00ad45e22f0c-1 00:00:23.736 --> 00:00:27.228 to get rid of all those menial tasks that they don't like to 2ca337f1-e054-47ce-ba69-00ad45e22f0c-2 00:00:27.228 --> 00:00:27.400 do. d46d557a-69e7-4aa2-8b42-f34c2c7eeb91-0 00:00:27.640 --> 00:00:29.320 And AI is great for that. 90f85c38-8de0-4dac-b8fd-0c0872fcf57f-0 00:00:29.880 --> 00:00:33.427 And how can companies really maximize the value of technology 90f85c38-8de0-4dac-b8fd-0c0872fcf57f-1 00:00:33.427 --> 00:00:34.000 solutions? 71be5651-1247-4e5b-b9f0-2df5fa3ed822-0 00:00:35.120 --> 00:00:36.320 That's a tough question. 356f62c6-60da-4142-962a-797561d88513-0 00:00:36.320 --> 00:00:39.766 I've been in the tech industry for 40 years, and we are always 356f62c6-60da-4142-962a-797561d88513-1 00:00:39.766 --> 00:00:42.939 been asking ourselves that question because it's not just 356f62c6-60da-4142-962a-797561d88513-2 00:00:42.939 --> 00:00:43.760 about the tech. bf5ec967-6a01-455a-b532-a89692240dce-0 00:00:43.760 --> 00:00:45.840 People have to change the way they use it. 893b73ef-3041-4ff5-a402-8e41ad2b9879-0 00:00:46.120 --> 00:00:47.800 So they have to get used to change. c4cacf4e-ea22-4cd3-b68f-680e7426751d-0 00:00:48.120 --> 00:00:53.012 They have to be ready to try new things in a new way, and they c4cacf4e-ea22-4cd3-b68f-680e7426751d-1 00:00:53.012 --> 00:00:57.362 need to think about how impactful it can be on changing c4cacf4e-ea22-4cd3-b68f-680e7426751d-2 00:00:57.362 --> 00:00:58.760 the way they work. 68d0720a-79fa-4677-bc0d-3fca1d10765a-0 00:00:59.360 --> 00:01:02.597 And for those who are just starting out on this AI and 68d0720a-79fa-4677-bc0d-3fca1d10765a-1 00:01:02.597 --> 00:01:06.129 GenAI journey, what would your advice be to set them up for 68d0720a-79fa-4677-bc0d-3fca1d10765a-2 00:01:06.129 --> 00:01:06.600 success? 62eef254-ea23-43e8-bcbd-e83f5e41da91-0 00:01:06.800 --> 00:01:10.054 Well, first of all, I think you need a mind shift to "change is 62eef254-ea23-43e8-bcbd-e83f5e41da91-1 00:01:10.054 --> 00:01:10.360 good." 4d01785b-ead5-452f-b339-c043d1f7b2f4-0 00:01:10.720 --> 00:01:14.491 Second of all, I feel like you need to be experimental and 4d01785b-ead5-452f-b339-c043d1f7b2f4-1 00:01:14.491 --> 00:01:16.920 curious and try out a few new things. c8085cb9-5ddb-4ac8-911f-e926bf53c0df-0 00:01:17.200 --> 00:01:20.101 And if you don't start trying now, you're going to get left c8085cb9-5ddb-4ac8-911f-e926bf53c0df-1 00:01:20.101 --> 00:01:20.440 behind. 42bd8290-c264-4c90-b6e3-96d4b091890e-0 00:01:20.880 --> 00:01:21.880 Thank you so much.