WEBVTT 92658568-9cb0-4c1a-99fe-321c68aba381-0 00:00:00.160 --> 00:00:03.000 Basir, thank you so much for joining us here at Dreamforce. 5ba9aae7-fb01-4a03-a224-6b400947e9c7-0 00:00:03.240 --> 00:00:06.642 What's one of the biggest myths you hear when it comes to using 5ba9aae7-fb01-4a03-a224-6b400947e9c7-1 00:00:06.642 --> 00:00:07.280 AI in sales? ee6f0288-44ec-4921-bc8c-2a88c73554fb-0 00:00:07.600 --> 00:00:08.560 Actually, I hear two things. 74489362-a3e2-4870-8d4b-bce51c11e194-0 00:00:08.560 --> 00:00:12.563 Number one, we don't have the right data, and number two, we 74489362-a3e2-4870-8d4b-bce51c11e194-1 00:00:12.563 --> 00:00:15.320 need to really have skilled AI engineers. c3b37048-068a-45ee-90c8-9a9c07afefb3-0 00:00:15.400 --> 00:00:17.080 And to me, both are actually wrong. 86ff9061-9bb5-4687-81b4-bf5722767705-0 00:00:17.080 --> 00:00:19.844 Number one, I think most organizations have much more 86ff9061-9bb5-4687-81b4-bf5722767705-1 00:00:19.844 --> 00:00:22.200 data and much better quality than they think. c8cd6ecd-d78d-4684-9c3e-ea95a53f7498-0 00:00:22.400 --> 00:00:24.400 ERP data is typically in really good shape. 386ca94f-7b2d-454d-9e36-410ea02ea49f-0 00:00:24.400 --> 00:00:26.080 Customer service data is in good shape. a4ff55e0-c121-4db2-99af-d009839ce489-0 00:00:26.480 --> 00:00:29.280 And sometimes also CRM data is actually not bad. 350bb47b-8b49-4f9a-abe2-de1257d14496-0 00:00:29.600 --> 00:00:33.742 And with those two, three data sources, you can unlock many AI 350bb47b-8b49-4f9a-abe2-de1257d14496-1 00:00:33.742 --> 00:00:34.400 use cases. ae30f218-a5df-43a2-91fc-6115a037ec09-0 00:00:34.680 --> 00:00:38.123 And secondly, I think actually many organizations fall in the ae30f218-a5df-43a2-91fc-6115a037ec09-1 00:00:38.123 --> 00:00:40.400 trap of thinking about technology first. e11393f1-4080-44de-8aee-7e0408d7cfd8-0 00:00:40.440 --> 00:00:42.852 To me, this is not technology first, it's actually change e11393f1-4080-44de-8aee-7e0408d7cfd8-1 00:00:42.852 --> 00:00:43.560 management first. 3becb7f3-5ce7-4605-ae39-e9b267deb977-0 00:00:43.920 --> 00:00:46.760 Why should health care companies leverage AI in sales? eee2eb81-6943-45ab-8df7-258accf4d5b1-0 00:00:47.400 --> 00:00:52.196 In the last ten, twenty years, many health care organizations eee2eb81-6943-45ab-8df7-258accf4d5b1-1 00:00:52.196 --> 00:00:56.760 have optimized all potential levers in a commercial model. 69a0eea0-097c-4738-9f88-36b6f0739628-0 00:00:57.080 --> 00:01:00.593 And to me, AI is the next frontier. That unlocks next best 69a0eea0-097c-4738-9f88-36b6f0739628-1 00:01:00.593 --> 00:01:04.344 action, trend prediction, cross selling, personalized customer 69a0eea0-097c-4738-9f88-36b6f0739628-2 00:01:04.344 --> 00:01:05.000 engagement. ba8ec8d0-0560-4710-a502-1508ac0720cc-0 00:01:05.280 --> 00:01:08.586 And if you look actually where many health care organizations ba8ec8d0-0560-4710-a502-1508ac0720cc-1 00:01:08.586 --> 00:01:11.360 are, there's still a lot of room, room to grow now. 4ce05f2d-00b0-4552-bd6d-b9894d45d1bb-0 00:01:11.960 --> 00:01:14.735 And what advice would you have for companies that are starting 4ce05f2d-00b0-4552-bd6d-b9894d45d1bb-1 00:01:14.735 --> 00:01:15.440 on this journey? ea225490-f675-41d8-abfd-df9e2c83822f-0 00:01:16.040 --> 00:01:16.760 Very simple. 1ec5f7cd-35d5-434e-b9dd-b7767d95f679-0 00:01:16.840 --> 00:01:20.520 Fewer, bigger, better. Fewer use cases, much bigger. 44f8e025-4551-47c8-b9fd-95c8af72a70d-0 00:01:20.920 --> 00:01:23.440 And secondly, don't focus on tech only. 674605d0-8154-4667-9f20-5ac749debd74-0 00:01:23.640 --> 00:01:26.682 Focus on change management, on organization, on building the 674605d0-8154-4667-9f20-5ac749debd74-1 00:01:26.682 --> 00:01:27.480 operating model. a7e8ff4c-3f2c-4843-9c72-f15a498b2ff8-0 00:01:28.200 --> 00:01:29.880 That's actually, to me, the success. 6c1fbac7-c4ff-4af6-9ac4-265c118596ae-0 00:01:30.600 --> 00:01:31.400 Thank you so much. bd5489de-e703-4646-a046-fc3f4e984ba8-0 00:01:32.080 --> 00:01:32.520 Thank you.