So let’s reposition our focus and understand that data. Things like A/B testing tools, SEO A/B testing tools, impact trackers, any of this type of reporting is available. Data outputs can certainly improve the AI models, but they always require historical context and historical patterns. That’s how they’re ultimately able to be trained.
For you to ultimately uncover that next big idea or that next new process, you have to come at it in a novel way, and that is where chemistry comes in. And you are ultimately able to reposition your focus successfully because you’ve built chemistry with all of these stakeholders up here, and you’ve built playbooks that can help streamline everything, and you are ultimately, you’ve successfully built tech that allows you to scale in a successful way. And by doing all of these things, you can ultimately grow your team and your career in an AI world.
I’m Travis Tallent, VP of SEO at Brainlabs. Thanks for having me. Please reach out on LinkedIn, Threads, or Twitter. Chat with you soon.
Originally published in October 2024, this hugely popular Whiteboard Friday video is still relevant to teams building out skills and processes in the era of AI.
