Patrick O'Shaughnessy
speaker
16,652 appearances
111 recordings
1 series
first heard Sep 2024
last heard 6d ago
Patrick O'Shaughnessy’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 45 in all, peaking in Jun 2026 with 5.
Appearances
So what skills do you think people will still matter a lot in a couple of years?
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Vanta automates compliance so your team can spend less time on security reviews and more time getting customers.
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Vanta cuts audit prep by 82% and gives you instant, up-to-date proof of trust without all the manual work, so you can close deals faster and with less friction.
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Customers report a 526% return on investment, and more than 16,000 companies use Vanta, including Ramp, Harvey, and Snowflake.
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Started with one thousand dollars off at vanta.com slash invest.
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Ridgeline is the first end-to-end system of record with embedded AI for investment management firms running portfolio accounting, reconciliation, reporting, trading, and compliance on one unified platform.
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Firms are moving off legacy technology and onto Ridgeline because of how far ahead Ridgeline's AI features are compared to anything else in investment management software.
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I've been hearing from a lot of investment managers about AI, and they fall roughly into two camps, with some unsure where to even start, and others convinced they can build their own order management system over a weekend.
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The reality is that running an investment firm will always require governance, controls, and a single source of truth.
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for your data, and no amount of AI enthusiasm changes that requirement.
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Ridgeline is built on exactly that foundation, which is why I believe that the firms that come out ahead in the AI era will be the ones running on Ridgeline's unified platform.
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If you're serious about your firm's AI strategy, Ridgeline should be part of that conversation, and you can request a demo at ridgeline.ai.
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Maybe it's a good time to talk about, I think of it, the assembly line.
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Like if Rogo puts out some really useful output, I want to learn about each component part of the system that leads to that output.
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And I'm most especially interested in the data that you yourself have and use and buy and build and whatever and how you do that, how you think about data, and then how you think about model.
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And these are both questions, one that I'm curious about your specific business for, but I also think that there will be some business like Rogo built in basically.
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every vertical.
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And so I'm curious what can be abstracted to other professional services or other verticals that are interesting as well that will fall to AI progress.
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So talk us through, yeah, specifically like the data and model piece and how that's evolved over time.
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models.
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Showing 61–80 of 16,652 · page 4 of 833
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