In part two of this two part series (see part one here), Jason Jones asked John Donovan to consider Maker’s...
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Upstart has been a pioneer in leveraging artificial intelligence in underwriting. They were talking about AI before any other online...
This week, we put on the Goldman hat and go shopping for companies. We buy a little bit of Folio and sell some Motif. We look at Personal Capital and the $1 billion it wants for its $12 billion of assets. We examine the private markets with Addepar / iCapital and SharesPost / Forge, and then move over to the banking sector. Should we buy Wells Fargo, as rumored, or some digital wallet apps? Read on for how to acquire a best-in-class Fintech.
Last week we kicked off LendIt Fintech Digital, a new ongoing initiative from LendIt Fintech to bring the fintech community...
In this episode, we connect with serial founder Ohad Samet, CEO of TrueAccord. Ohad has been working in fintech machine learning for a decade and a half, applying multi-dimensional mathematics to consumer finance. The result? A more empathetic approach to the traditionally gnarly problem of debt collection.
When it comes to fintech M&A and fundraising there is no better person to talk to than Steve McLaughlin. McLaughlin...
This week, I pause to reflect on the sales of (1) AdvisorEngine to Franklin Templeton and (2) the technology of Motif Investing to Schwab. Is all enterprise wealth tech destined to be acquired by financial incumbents? Has the roboadvisor innovation vector run dry? Not at all, I think. If anything, we are just getting started. Decentralized finance innovators like Zapper, Balancer, TokenSets, and PieDAO are re-imagining what wealth management looks like on Ethereum infrastructure. Their speed of iteration and deployment is both faster and cheaper, and I am more excited for the future of digital investing than ever before.
The image is taken from an AI paper which explains how to use generative adversarial networks (i.e., GANs) to hallucinate hyper realistic-imagery. By training on hundreds of thousands of samples, the model is able to create candidates representing things like “just a normal dude holding a normal fish nothing to see here”, and then edit out the ones that are too egregious.
The reason the stuff above is so scary is actually that you can mathematically transition in the space between images. So for example, you could move between “a normal dude” and “just a normal fish” and have nightmare fish people. Or you could create a DNA root for an image which is part dog, part car, and part jellyfish. Check out the video below and the very accessible https://www.artbreeder.com/ website to see what I mean.
We have recently learned that Bernardo Martinez is stepping down from his role as US Managing Director of Funding Circle....
Businesses across Europe have reported vastly different experiences in their efforts to secure the financial support promised by their respective...