Paul Appleby

speaker

246 appearances 1 recordings 1 series first heard Jul 2026 last heard 15 Jul

Paul Appleby’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 — 1 in all, peaking in Jul 2026 with 1.

Appearances

newest first · ▶ plays the moment

Eye On A.I. · 6 in 10 Enterprises Can't Find the Root Cause When Their AI Workloads Fail | Paul Appleby, Virtana · 15 Jul 2026 podcast

So, yeah, sure.

Token cost, tokens going down and will continue to fall, you know, for the foreseeable.

The token consumption is going through the roof.

And, you know, it's really just even looking at labor arbitrage and that question of, you know, where is the work done most efficiently?

There's been conversations over the last few days about that.

You know, is the labor arbitrage conversation headed in the right direction?

And in fact, will AI be more efficient?

And I think that is going to lead to some really important decisions that companies have to make about what use cases and business problems are

um we need to solve leveraging this kind of infrastructure um that are going to make a huge impact and you know there i can think of some great examples you know like accelerated drug discovery reducing the time of bringing new medicines to market making them far more highly targeted um and improving the efficacy of those is like there's no argument about that

using AI to better analyze medical imaging, using AI to better identify fraud or criminal financial transactions and those sorts of things.

There are a lot of, I could go on and on, really powerful use cases for AI.

But I think what companies are going to do and I think they are doing right now is looking at

where do we deploy AI that's going to have a meaningful impact on

customers customer experience and and you know and drive increased roi that that's going to be key but i think that um you know a lot of companies are rushing headlong into the investment right now without thinking through the implications for roi and there's a lot of studies being done on this as you know the hundreds of billions of dollars that are being invested right now and when we when the curve between the investment and the revenues will actually cross and and

based on the data I've seen, it is not in the near future, Craig.

And business impact, you know, it might not just be a cost dynamic, it could be a revenue dynamic, or it could be a customer experience and retention dynamic, but there'll have to be measurable impact that's commensurate with the level of investment that we're making.

And as I've said, you know, there are so many use cases where AI is just the only answer.

But it's about, you know, being really smart about how and where we deploy AI, building the right governance and controls around those investments and, you know, continuing to scale thoughtfully.

Yeah, Craig, great question.

What I'd say is that if you think about any large-scale IT organization, they're in a pretty tricky position, not just as it relates to AI investments, but just IT investments in general.

Showing 161–180 of 246 · page 9 of 13