WEBVTT 00:00:00.000 --> 00:00:02.961 You have to have marketers training marketers, 00:00:02.961 --> 00:00:05.797 not engineers training marketers. 00:00:05.797 --> 00:00:07.882 Jessica, welcome. Thanks Alex. 00:00:07.882 --> 00:00:12.178 The next tech leader in the enterprise may not be the CTO. 00:00:12.178 --> 00:00:13.513 It may be the CMO. 00:00:13.513 --> 00:00:17.559 What changes are you seeing at the core of the CMO role 00:00:17.559 --> 00:00:19.644 and is that shift accelerating? 00:00:19.644 --> 00:00:20.478 I love that. 00:00:20.478 --> 00:00:22.480 I think every C-suite member needs 00:00:22.480 --> 00:00:25.025 to be a technology leader now, 00:00:25.025 --> 00:00:27.902 and certainly that is very true for CMOs. 00:00:27.902 --> 00:00:30.071 We are obviously embracing, 00:00:30.071 --> 00:00:34.826 ingesting using the AI tool wonderland, trying to figure out 00:00:34.826 --> 00:00:38.621 what works for what jobs to be done in our businesses. 00:00:38.621 --> 00:00:43.418 And that requires technical agility and curiosity 00:00:43.418 --> 00:00:45.128 and critical thinking. 00:00:45.128 --> 00:00:49.591 Some good old-fashioned skills like good writing. 00:00:49.591 --> 00:00:54.095 But yes, I think every CMO has been focused on technology 00:00:54.095 --> 00:00:56.556 for a while, but the depth 00:00:56.556 --> 00:00:59.684 and speed with which we need to embrace 00:00:59.684 --> 00:01:01.811 and bring results from AI technology 00:01:01.811 --> 00:01:03.188 is like nothing I've ever seen. 00:01:03.188 --> 00:01:05.273 We see that CMOs 00:01:05.273 --> 00:01:07.442 who are going to define what's next are the ones actually 00:01:07.442 --> 00:01:11.321 building culture, where people can adapt, can experiment. 00:01:11.321 --> 00:01:13.865 So how can CMOs protect that space 00:01:13.865 --> 00:01:17.202 to experiment while still delivering results quickly? 00:01:17.202 --> 00:01:20.163 I think we are a little bit over rotated now 00:01:20.163 --> 00:01:21.956 on the focus on technology 00:01:21.956 --> 00:01:24.167 and we need to really turn that around 00:01:24.167 --> 00:01:25.960 to the people and the culture. 00:01:25.960 --> 00:01:29.255 I think that we need to build environments 00:01:29.255 --> 00:01:32.175 where we give people very clear guidance: 00:01:32.175 --> 00:01:34.469 These are the things that we are going to fix 00:01:34.469 --> 00:01:37.055 and build in our marketing pipelines 00:01:37.055 --> 00:01:40.266 and experiences, with these tools, with these metrics 00:01:40.266 --> 00:01:44.437 and goals, that we're going to measure on an ongoing basis 00:01:44.437 --> 00:01:46.815 and get crystal clear about that. 00:01:46.815 --> 00:01:50.110 And then also there are some people in a marketing 00:01:50.110 --> 00:01:53.738 organization who love these tools and are facile 00:01:53.738 --> 00:01:57.158 and building and they should be experimenting 00:01:57.158 --> 00:01:59.994 and creating things that we never imagined. 00:01:59.994 --> 00:02:02.747 And you have to be very clear about who those people are 00:02:02.747 --> 00:02:07.085 and everyone else is on track for certain deliverables 00:02:07.085 --> 00:02:08.378 with AI. 00:02:08.378 --> 00:02:11.381 And so you're running kind of two parallel paths. 00:02:11.381 --> 00:02:15.677 But I think from a culture standpoint, honesty, 00:02:15.677 --> 00:02:18.930 humility, maybe even a little bit of humor. 00:02:18.930 --> 00:02:20.682 I mean, I stand up in front of my team 00:02:20.682 --> 00:02:24.018 and tell them what I've tried to build and how I've failed 00:02:24.018 --> 00:02:27.480 and that I had to call my friend Dan for help 00:02:27.480 --> 00:02:30.316 to understand this technical jargon. 00:02:30.316 --> 00:02:33.736 So if we make it, you know, if I'm trying to learn 00:02:33.736 --> 00:02:37.407 and I am getting over the fear and feeling like an idiot 00:02:37.407 --> 00:02:40.785 and pushing through to building, I think it creates 00:02:40.785 --> 00:02:43.329 a less anxiety environment. 00:02:43.329 --> 00:02:44.706 Well, I couldn't agree more. 00:02:44.706 --> 00:02:47.667 We talked about experiments and experimentation. 00:02:47.667 --> 00:02:49.544 That can mean doing a lot 00:02:49.544 --> 00:02:51.504 of different things and then seeing what works. 00:02:51.504 --> 00:02:53.631 To try to narrow it down to a single thing, 00:02:53.631 --> 00:02:55.425 which I know is difficult to do. 00:02:55.425 --> 00:02:57.135 If you could leave every CMO 00:02:57.135 --> 00:03:00.763 with just one thing they could implement now, 00:03:00.763 --> 00:03:02.223 what would it be? 00:03:02.223 --> 00:03:05.560 Build a very specific AI roadmap 00:03:05.560 --> 00:03:09.397 with your business challenges and outcomes to solve. 00:03:09.397 --> 00:03:11.983 Assign a leader who is technically facile 00:03:11.983 --> 00:03:13.443 for each of those things. 00:03:13.443 --> 00:03:16.362 You have to have marketers training marketers, 00:03:16.362 --> 00:03:19.449 not engineers training marketers, 00:03:19.449 --> 00:03:23.203 and track that progress very deliberately 00:03:23.203 --> 00:03:26.456 and be honest about the failures along the way. 00:03:26.456 --> 00:03:27.624 I think that's a great approach. 00:03:27.624 --> 00:03:28.499 Thank you, Jessica. 00:03:28.499 --> 00:03:30.210 Thank you, Alex. I appreciate it.