One sign an organization isn’t actually ready for AI

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Why do most companies treat AI implementation as an IT‑only project?

Unknown 0:00
The 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. Welcome to the Voices of Search podcast, a member of the I Hear Everything podcast network. Ready to expedite your company's organic growth efforts? Sit back, relax, and get ready for your daily dose of search engine optimization wisdom. Here's today's host of the Voices of Search podcast, Jordan Cooney.

What’s the biggest mistake leaders make when rolling out AI to knowledge teams?

Unknown 0:42
I'm
Jordan Cooney 0:43
Jory Cooney, and joining me today is Steve Wunker, Managing Director at New Markets Advisors. What's the biggest mistake leaders make when rolling out AI to their knowledge teams?
Stephen Wunker 0:57
They think about AI as technology and not changing the system of work. Put tech at the table, but look at it as the whole system you need to change.

How can cross‑functional teams identify business objectives that AI can improve?

Unknown 1:09
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Jordan Cooney 2:37
Absolutely.

What framework does Stephen Wunker recommend for integrating AI across the organization?

Jordan Cooney 2:37
And on that system, just give us a little bit more clarity as to what those areas of focus should be in terms of team structure, organizational structure, measurement, for example.
Stephen Wunker 2:50
Right. So get people together cross-functionally and understand how are your business objectives being suboptimal now without AI and how might AI improve that, whether it's customization of an offering or the cycle time you take in making a proposal to a customer, for instance. How is AI changing that? That then gets you more right side up, thinking about what your objective is, not the nuts and bolts of technology and how that might be achieved.

How should companies measure AI success beyond just the technology rollout?

Jordan Cooney 3:20
Okay, that's all for today, but until next time, remember, the answers are always in the data.

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