One mistake companies make when introducing AI to their organization

0:00The Voices of Search podcast is a proud member of the I Hear Everything podcast network. Looking to launch or scale your podcast? I Hear Everything delivers podcast production, growth, and monetization solutions that transform your words into profit. Ready to give your brand a voice? Then visit IHearEverything.com. I'm Jordan Cooney, and joining me today is Silvia Oviedo-Lopez, co-founder and CEO of Bluma. Before launching Bluma, Silvia led global content discovery and international growth teams at Pinterest and Canva. giving her a front row seat to how AI is changing both the way people work and the way consumers discover brands.

0:42Today we're going to talk about how AI is changing search, marketing organizations, and why companies need to rethink the role of a specialist and generalist, and what it takes to build an AI-ready culture. What is one mistake companies are making when introducing AI to their organization? I think a mistake is rolling out things too fast, rolling out things too slow, or not rolling out things at all. So I think we're in that Goldilocks problem where we have to find that perfect balance. Time for a one-minute break to hear from our sponsor, Previsible. So you're looking for SEO help, and you've got a couple of options.

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2:45Don't be afraid of making mistakes. I think in the era of AI, being slow is going to cost you more than being wrong because the cost to switch is reducing. A huge thank you to Silvia Oviedo-Lopez, CEO at Bluma, for joining us. If you'd like to contact Silvia, you can find a link to her LinkedIn profile in our show notes or on thevoicesofsearch.com. You can also visit her company website, bluma, B-L-O-M-M-A dot com. If you haven't subscribed yet, want a daily stream of SEO and content marketing knowledge in your podcast feed, hit the subscribe button in your podcast app or on YouTube. It will be in your feed every week.

3:23Okay, that's all for today. But until next time, remember, the answers are always in the data.