Stephen Wunker

speaker

430 appearances 5 recordings 1 series first heard Mar 2026 last heard 6 Mar

Stephen Wunker’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 5 in all, peaking in Mar 2026 with 5.

Appearances

newest first · ▶ plays the moment

Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast · 5 ways to make your organization AI-ready · 2 Mar 2026 podcast

It may create some efficiencies.

It may not.

It often creates more work on the back end than people think about because you have to attend to the data quality and the model uh outputs and the updating of the model.

Uh a lot of things that might not be normal software activities uh do become normal with AI.

But regardless, if you're not changing the system of work, you're probably not creating a whole lot of value.

You might be ironing out a couple points of friction.

But it's a bit like when electricity came around, factory owners have first just tried swapping out their steam powered machines with electric machines.

And it took thirty five years for Henry Ford to realize, oh, with electricity we can create an assembly line.

And that was the huge unlock of productivity.

Now with AI, we don't have thirty five years, but we need to be looking for those systematic changes like J and J found with its fifteen percent that created by far the majority of the value.

So there's a couple things that are really determinative out of outcome.

Sometimes it's the use case, right?

If you're trying to bring AI to the contact center, well that is a terrific place to bring AI.

Uh it is not only a lot more efficient, but customers are usually a lot happier with the result too.

So great.

But most of an organization isn't like that.

So then what really creates the impact is if you don't think of it in terms of the current tasks that are done today, and certainly not the current boxes on Nort chart, but what actually has to happen in an organization for a unit of work to be output?

If you're optimizing uh pricing to a customer based upon their preferences for CapEx versus OpEx, what actually has to happen in the organization?

And then how can you infuse AI into that process?

Not take it over completely, but to make it a lot more faster, a lot more responsive, uh often a higher quality, sometimes a lower cost process.

Showing 41–60 of 430 · page 3 of 22