Matt Ober

speaker

205 appearances 1 recordings 1 series first heard Jul 2026 last heard 20 Jul

Matt Ober’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Making Billions: The Private Equity Podcast for Fund Managers, Alternative Asset Managers, and Venture Capital Investors · Matt Ober: How Dan Loeb's Fmr Data Chief Finds an Unfair Edge in Funds · 20 Jul 2026 podcast

And you know, that agent hallucinates or does something wrong, you know, kind of uh there's not a it's not easy to come back from.

Listen, I think there are firms that are defined by AI and that's in their ethos.

You know, social leverage, we've you know gone all in on AI in the last year and like see my partner Gary and the rest of the team like really built some really cool things.

But I wouldn't say like you look at social leverage and like it's an AI firm.

It's not World Quad, 2 Sigma, you know, on the you know, on the venture side, there's you know Signal Fire, Ensemble and guys that like they have data science teams.

Like that's their ethos.

So like it's doable.

And yeah, I listen, I think uh it's probably too good to be true if there's an AI tool that's just gonna do your fundraising for you.

If it was that easy, we'd all be raising, you know, billions of dollars.

Agreed.

Yeah, and that's it.

I think each strategy and size of each firm is gonna be different.

And like, are you starting from nothing?

Are you having to, you know, build while the airplane's still running, right?

It's obviously easier to build from nothing, but that's not always possible.

I think you know the basics of like are you gonna use Databricks?

Are you gonna use Snowflake, like leveraging Amazon, Google, or Microsoft for your cloud infrastructure probably depends on if you're a Microsoft shop and you're gonna get office and you're just gonna bundle it.

I think Databricks obviously has a great infrastructure.

especially if you have a data science team and you want to uh really leverage, you know, all the tools they're building, even from a AI native perspective, doing a lot of stuff around helping you control your costs.

And then you need the basics, right?

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