It is not true that language models make search engines unnecessary.

If anything, they make the search engines more valuable because now all that data that you can

search becomes like 10X more powerful.

2022 was a breakout year for AI as several new tools gained mass adoption.

In fact, many have even claimed that Chat UBT is the fastest growing app of all time.

And despite machine learning being embedded in many applications already, for millions of

users, these tools felt like their first real world encounter with AI.

And that's because tools like ChatGBT or Mid Journey have put AI at the forefront.

But looking ahead, that may not be the case. The same way that your

users don't care if your web app was built with angular or react, or if it happens to be running on AWS or

Heroku the use of AI alone will not be enough to win over users in the long run.

Instead there will be a whole host of ways that companies differentiate as they cleverly embed

AI with a nod towards solving their customers' core problems.

And that's precisely what seems to be the topic of conversation in every boardroom.

CEOs are asking how to best integrate this new superpower.

But they're also asking important questions around data privacy, competition, cost,

accuracy, and also doing all of this really quickly.

How do you structure the data?

How do you train them up?

How do we make them more efficient, more insightful, more impactful?

And also, why haven't we shipped this yet?

And in today's episode, we speak with three different companies tackling exactly this,

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