Tobias "Tobi" Konitzer

We're one step further along our continuum, and I think we've done a good job both laying the foundations in terms of content, but also now cadence of how we speak about it in the market and how we're heard by the buyer.

First of all, Noah, I made plenty of mistakes and continue to make plenty of mistakes.

And I'm not even sure.

I used to think that the only thing that you can do is learn from mistakes.

But I think, unfortunately, our capability to learn as humans is quite low.

So I'm not even sure.

I'm not even sure if that's... Still, that's too ambitious of a statement for me even.

But that's just the intro.

I've made plenty of mistakes.

I think what I really learned the hard way...

is that using machine learning to build predictive models does not do anything.

It does not win anybody over.

It does not change outcomes.

And I think ultimately marketers will pick up on that.

So example being here, my second venture was a company that used machine learning to predict customer lifetime value.

It's cool.

It used much more data, better algorithms, a framework that we called Pi Until You Die, which is a little bit of an inside joke because the modeling framework up to this point was called Pi Until You Die and we brought it to PyTorch.

Anyways, imagine you had a magic wand and you could predict the revenue future of every customer.

Cool, right?

And the company grew because we could predict the accuracy of these predictions or we could show, we could prove the accuracy of these predictions.