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 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

The liquidity probably isn't as deep as you want.

That being said, like I'm sure that there's over-the-counter markets that can be done through, you know, the Citadel Jane Sasquatas of the world.

I also think more volume's coming, right?

It's as much as prediction markets have taken off, it's still early.

So I think I would just be building out the muscle on how do you forecast and predict the KPIs.

For the investments I'm making and start to paper trade those prediction markets with the goal of being ready to execute once there's actually liquidity you need, depending on your front size.

Always be challenging yourself on the data that you have and testing it.

Like you need to be tracking your performance per data set.

Like how accurate has it been and how correlated is it to the other stuff?

Like if we took this out of our process, would it change our returns or change our decision making process?

You know, m I believe more information is powerful and like there's no real like such thing as information overload.

It's just like filter failure.

And in an AI world, we all want a thousand X more data, or at least

Access to it and we want to pay less per data set, but like overall, we're gonna spend more on data if it's giving us more insight.

Like you'd obviously spend more and more money if you're making more and more.

And so I think, you know, yeah, in the data world, like I think a lot of people are starting to believe that, you know, the more data you can consume, the more money you can make or the more money you can manage.

I think that's correct.

I think also with AI, you can really get a sense of like take this data out of the process and what does it change?

Does it change our decision making?

Would we have done something differently?

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