WEBVTT dfe1c235-a6a7-421a-b2fd-c95385ee97b4-0 00:00:00.560 --> 00:00:03.625 Very excited to once again be kicking off the new Year in Las dfe1c235-a6a7-421a-b2fd-c95385ee97b4-1 00:00:03.625 --> 00:00:06.591 Vegas with CES, which is in many ways become the preeminent dfe1c235-a6a7-421a-b2fd-c95385ee97b4-2 00:00:06.591 --> 00:00:08.520 global automotive mobility conference. 3e9ffacf-e643-4bab-a997-d7ce9f2aa295-0 00:00:09.000 --> 00:00:11.459 As you walk through the floor, it's impossible not to get 3e9ffacf-e643-4bab-a997-d7ce9f2aa295-1 00:00:11.459 --> 00:00:14.172 excited about all the exciting new technologies that are coming 3e9ffacf-e643-4bab-a997-d7ce9f2aa295-2 00:00:14.172 --> 00:00:16.589 to market that when fully implemented are not just going 3e9ffacf-e643-4bab-a997-d7ce9f2aa295-3 00:00:16.589 --> 00:00:18.964 to change the automotive industry, but they're going to 3e9ffacf-e643-4bab-a997-d7ce9f2aa295-4 00:00:18.964 --> 00:00:19.600 change society. d8443a82-9689-4b11-988c-d9a4516d0ee4-0 00:00:20.120 --> 00:00:22.821 I'm here with my partner Karen Lellouche, who leads a lot of d8443a82-9689-4b11-988c-d9a4516d0ee4-1 00:00:22.821 --> 00:00:25.080 our work on the sales and marketing size in an AI. 2e38a5aa-bfd5-4554-86ec-2b969f4b1578-0 00:00:25.560 --> 00:00:27.783 I know you've been spending a lot of time looking at how 2e38a5aa-bfd5-4554-86ec-2b969f4b1578-1 00:00:27.783 --> 00:00:30.280 disruptive technology of AI is going to transform the industry. 9825ca26-9d0a-4253-ade8-78b52aebed8a-0 00:00:30.680 --> 00:00:32.916 As you talk to some of your clients here this week, what are 9825ca26-9d0a-4253-ade8-78b52aebed8a-1 00:00:32.916 --> 00:00:35.153 some of the things that get you most excited about how AI is 9825ca26-9d0a-4253-ade8-78b52aebed8a-2 00:00:35.153 --> 00:00:36.400 going to be truly transformative? 328ff4c1-fe74-45e3-8eb5-6012902e6e2a-0 00:00:36.960 --> 00:00:40.976 Well, you know what, someone told me that last year CS was 328ff4c1-fe74-45e3-8eb5-6012902e6e2a-1 00:00:40.976 --> 00:00:44.720 about an AI wave and this year is about an AI tsunami. ef14a5d4-e12c-45ab-9259-f7f107ba7974-0 00:00:44.960 --> 00:00:48.319 I think that's the right, that's the right description of what's ef14a5d4-e12c-45ab-9259-f7f107ba7974-1 00:00:48.319 --> 00:00:51.316 going on, which is like AI has become everywhere in every ef14a5d4-e12c-45ab-9259-f7f107ba7974-2 00:00:51.316 --> 00:00:53.280 single things that we're seeing here. 46558f08-2cfe-45f0-99b6-32581df06af5-0 00:00:54.000 --> 00:00:56.627 And when you think about the automotive industry, it's like 46558f08-2cfe-45f0-99b6-32581df06af5-1 00:00:56.627 --> 00:00:57.240 AI in the car. ab7c98f7-9a35-4813-8d66-6c6e736ae19a-0 00:00:57.240 --> 00:01:00.600 We're hearing a lot of course around ChatGPT or Gen e35c6a8e-0ae0-4311-b36f-d26d8a396ba2-0 00:01:00.600 --> 00:01:04.000 AI being used in the car as a way to have conversation with e35c6a8e-0ae0-4311-b36f-d26d8a396ba2-1 00:01:04.000 --> 00:01:04.680 the drivers. 1e878761-d515-446e-98e7-f98f28556360-0 00:01:04.680 --> 00:01:08.561 A lot of announcement around this recently, but also using AI 1e878761-d515-446e-98e7-f98f28556360-1 00:01:08.561 --> 00:01:09.000 and Gen d5e132aa-2060-472a-899f-77b20f2a7cdb-0 00:01:09.000 --> 00:01:11.160 AI in the end to end customer experience. 45228fd8-192a-4e61-b0b0-98102dbbe7db-0 00:01:11.360 --> 00:01:15.236 So how to we reinvent the experience by using generative 45228fd8-192a-4e61-b0b0-98102dbbe7db-1 00:01:15.236 --> 00:01:15.440 AI. a95615e2-c3fc-4151-a5e4-0b72269e5b8d-0 00:01:15.960 --> 00:01:19.313 So somehow new bot functionalities, but in a better a95615e2-c3fc-4151-a5e4-0b72269e5b8d-1 00:01:19.313 --> 00:01:23.441 way to enhance the experience to be able to have a conversation a95615e2-c3fc-4151-a5e4-0b72269e5b8d-2 00:01:23.441 --> 00:01:26.924 that help the consumers navigating the offer or being a95615e2-c3fc-4151-a5e4-0b72269e5b8d-3 00:01:26.924 --> 00:01:31.116 able to take an appointment in a better way or coach the dealers a95615e2-c3fc-4151-a5e4-0b72269e5b8d-4 00:01:31.116 --> 00:01:35.179 so that they can be even more efficient in the selling process a95615e2-c3fc-4151-a5e4-0b72269e5b8d-5 00:01:35.179 --> 00:01:38.920 or to the call center when the call center is considered. e5266524-d832-442c-82dd-cc111df26715-0 00:01:38.920 --> 00:01:42.307 So they're like a lot of use cases that we're seeing, a lot e5266524-d832-442c-82dd-cc111df26715-1 00:01:42.307 --> 00:01:45.582 of things that we're seeing around how to use AI and more e5266524-d832-442c-82dd-cc111df26715-2 00:01:45.582 --> 00:01:49.082 specifically this generative AI capabilities to enhance every e5266524-d832-442c-82dd-cc111df26715-3 00:01:49.082 --> 00:01:50.720 step of the customer journey. c21d12bb-4776-4569-bbf3-64551da4820f-0 00:01:51.120 --> 00:01:53.832 That's terrific, I know it's it's hard to believe that in c21d12bb-4776-4569-bbf3-64551da4820f-1 00:01:53.832 --> 00:01:54.440 many ways Gen 3bb5f725-4cb5-4f5a-9bd2-26da8ff304a6-0 00:01:54.480 --> 00:01:55.760 AI is only about a year old. 0eed81e8-c69a-4c02-a263-2671b36ad5cb-0 00:01:56.840 --> 00:02:00.240 How soon do you see it really impacting the car retail 0eed81e8-c69a-4c02-a263-2671b36ad5cb-1 00:02:00.240 --> 00:02:00.920 experience? cac3ef73-41bb-47a4-b238-7ca33b334d9d-0 00:02:01.400 --> 00:02:05.728 So it's only one year old, but it's true that it's been already cac3ef73-41bb-47a4-b238-7ca33b334d9d-1 00:02:05.728 --> 00:02:09.718 a few years that this idea of how can we think differently cac3ef73-41bb-47a4-b238-7ca33b334d9d-2 00:02:09.718 --> 00:02:13.032 about coaching both the salesperson but also the cac3ef73-41bb-47a4-b238-7ca33b334d9d-3 00:02:13.032 --> 00:02:14.520 consumers can be done. 39d64b7a-32ee-4076-9a2f-4a420d3e5ba5-0 00:02:14.520 --> 00:02:15.680 And bots are not new. cc4d42bc-d361-4f36-aee1-3df5e1aa0f6b-0 00:02:15.680 --> 00:02:16.320 It's been years. 5a6fcc3e-0b70-4cb2-8a42-8fdd2780928c-0 00:02:16.320 --> 00:02:18.932 I think what's new is the quality of the bot, the quality 5a6fcc3e-0b70-4cb2-8a42-8fdd2780928c-1 00:02:18.932 --> 00:02:21.680 of the experience that was that clearly wasn't there before. 8c72383a-27c7-49fe-a627-00c1a659f59d-0 00:02:22.000 --> 00:02:25.034 So what we're seeing based on you know all the conversations 8c72383a-27c7-49fe-a627-00c1a659f59d-1 00:02:25.034 --> 00:02:28.119 we're having with many of our clients is that all of them are 8c72383a-27c7-49fe-a627-00c1a659f59d-2 00:02:28.119 --> 00:02:29.960 doing pilots currently, all of them. 66287fee-15a3-4680-8bb9-bd5711d3cabb-0 00:02:29.960 --> 00:02:32.956 There's no one single OEM not doing a pilot on using 66287fee-15a3-4680-8bb9-bd5711d3cabb-1 00:02:32.956 --> 00:02:36.349 generative AI for some piece of the customer journey of the 66287fee-15a3-4680-8bb9-bd5711d3cabb-2 00:02:36.349 --> 00:02:37.480 customer experience. 528e49b8-4586-4245-bd74-14e2a486a257-0 00:02:37.720 --> 00:02:40.992 So the truth is when they are able to pilot it successfully, 528e49b8-4586-4245-bd74-14e2a486a257-1 00:02:40.992 --> 00:02:44.265 we're going to scale it up and once it's scaled up, you know 528e49b8-4586-4245-bd74-14e2a486a257-2 00:02:44.265 --> 00:02:46.680 it's going to be in every retail experience. 8a60ce00-e769-4668-8ed1-871a4b741b5b-0 00:02:46.720 --> 00:02:50.273 So honestly in a year from now, I think it's going to be a 8a60ce00-e769-4668-8ed1-871a4b741b5b-1 00:02:50.273 --> 00:02:51.840 reality almost everywhere. 11ca54fa-8342-4284-bb75-aaa56ce648b4-0 00:02:52.320 --> 00:02:52.920 That's exciting. f7552652-33a2-48b8-987f-0a0bf1f9c2f2-0 00:02:53.600 --> 00:02:54.240 So what about you? 04f615d3-0073-4621-b242-b73bf928b49e-0 00:02:54.240 --> 00:02:56.384 What are you excited about when you look at what's happening 04f615d3-0073-4621-b242-b73bf928b49e-1 00:02:56.384 --> 00:02:56.560 here? 38a7d277-21b4-4955-b019-6223ae5df453-0 00:02:56.640 --> 00:02:59.285 So I think one of the things that's noticeable about this CES 38a7d277-21b4-4955-b019-6223ae5df453-1 00:02:59.285 --> 00:03:01.760 relative to years prior is the absence of a number of the 38a7d277-21b4-4955-b019-6223ae5df453-2 00:03:01.760 --> 00:03:03.040 leading vehicle manufacturers. 8de8c56b-bc0f-45a7-8840-9f31f49783a5-0 00:03:03.400 --> 00:03:05.720 In many ways, this has become a supplier conference. b0333493-c9f4-46cb-98d7-ea33ff1a7a0f-0 00:03:06.120 --> 00:03:08.338 And what's interesting for suppliers is on one hand, b0333493-c9f4-46cb-98d7-ea33ff1a7a0f-1 00:03:08.338 --> 00:03:10.807 there's all these great new technologies that are going to b0333493-c9f4-46cb-98d7-ea33ff1a7a0f-2 00:03:10.807 --> 00:03:13.319 allow them to many ways reinvent themselves that's going to b0333493-c9f4-46cb-98d7-ea33ff1a7a0f-3 00:03:13.319 --> 00:03:15.663 secure a future for decades to come that's really quite b0333493-c9f4-46cb-98d7-ea33ff1a7a0f-4 00:03:15.663 --> 00:03:16.040 exciting. 00fcab17-da83-4730-ace2-9051fa95448c-0 00:03:16.520 --> 00:03:19.397 That said, it's difficult for suppliers to be able to manage 00fcab17-da83-4730-ace2-9051fa95448c-1 00:03:19.397 --> 00:03:22.040 that transition and what is arguably the most difficult 47bc0432-c4d9-4f10-8bcf-98bbf138874f-0 00:03:22.040 --> 00:03:24.452 for suppliers in the 100 plus years with production 47bc0432-c4d9-4f10-8bcf-98bbf138874f-1 00:03:24.452 --> 00:03:27.189 volatility, with material inflation, with labour shortages 47bc0432-c4d9-4f10-8bcf-98bbf138874f-2 00:03:27.189 --> 00:03:30.066 and so it's fun having a lot of conversation with the clients 47bc0432-c4d9-4f10-8bcf-98bbf138874f-3 00:03:30.066 --> 00:03:32.989 about how do you really strike the balance between positioning 47bc0432-c4d9-4f10-8bcf-98bbf138874f-4 00:03:32.989 --> 00:03:35.865 yourself to win long term while being the best of the way the 47bc0432-c4d9-4f10-8bcf-98bbf138874f-5 00:03:35.865 --> 00:03:36.840 game is played today. db203333-1544-4abf-89d5-1203d80fda18-0 00:03:37.720 --> 00:03:39.673 It's an exciting time and I'm looking forward to continuing db203333-1544-4abf-89d5-1203d80fda18-1 00:03:39.673 --> 00:03:40.520 the discussions this week. bf36cdde-9bac-4c95-88e2-edcf9ee9cc42-0 00:03:41.080 --> 00:03:41.560 That's great. 9e87556e-025d-4674-a0c0-919bee0922b6-0 00:03:41.560 --> 00:03:42.400 Thanks a lot Brian. 24054419-e741-4370-b310-72cfe58d0b72-0 00:03:42.400 --> 00:03:43.280 It was great to see you. 687cfd8b-9c79-4122-9ae4-e3419acaa4e6-0 00:03:43.600 --> 00:03:44.000 Good to see you.