The Great Data Debate

What do disease diagnostics, language learning, and image recognition have in common? All depend on the organization of collective intelligence: data ontologies. In this episode of the a16z Podcast, g...

15 Elo 201726min

with Graham Allison and Matthew Colford "When a rising power threatens to displace a ruling power, shit happens." It's true of people, it's true of companies, and it's even more true of countries. It'...

11 Elo 201728min

What happens when companies grow exponentially in a short amount of time -- to their organization, their product planning, their behavior towards change itself? In this "hallway conversation", a16z pa...

7 Elo 201729min

with Anne Mitchell, Lars Dalgaard, and Scott Kupor"Orthogonal thinking" but "shared core values" -- that's what makes an ideal board... especially when it comes to "independents", i.e., board members ...

4 Elo 201722min

with Jimmy Soni, Rob Goodman, and Steven Sinofsky Modern technology owes much to the introduction of the binary digit or "bit", first proposed by Claude Shannon in "A Mathematical Theory of Communicat...

3 Elo 201729min

There are the things that you carefully plan when it comes to an IPO -- the who (the bankers, the desired institutional investors); the what (the pricing, the allocations); and the when (are we ready?...

24 Heinä 201730min

Here’s what we know: There’s a pair (father and son) of Russian scientists trying to resurrect (or rather, "rewild") an Ice Age (aka Pleistocene era) biome (grassland) complete with (gene edited, lab-...

18 Heinä 201730min

In the age of virality, what does it actually mean to be popular? When does popularity -- or good product design, for that matter -- cross over from desire and engagement... to addiction? Journalist a...

15 Heinä 201726min