a16z Podcast: Deep Learning for the Life Sciences

One of the biggest misconceptions around network effects (which are one of the key dynamics behind many successful and highly defensible software companies) is confusing growth with engagement. So how...

15 Heinä 201648min

We already know that the government is one of the largest IT buyers, but in many ways it is also an IT builder. Especially for areas where the government is doing something that no one else is doing, ...

14 Heinä 201623min

"All of a sudden you can program the world" -- it's the continuation of the software eating the world thesis we put out over five years ago, and of the trajectory of past and current technology shifts...

11 Heinä 201640min

Do we need a new pay system for the way startup employees are compensated? While many people agree that the current 90-day exercise practice — an outdated relic of when companies used to go public/get...

1 Heinä 201632min

with Fei-Fei Li (@drfeifei), Frank Chen (@withfries2), and Sonal Chokshi (@smc90) Who has the advantage in artificial intelligence — big companies, startups, or academia? Perhaps all three, especially...

28 Kesä 201638min

How far along are we towards the vision of a "cashless, cardless, walletless, frictionless future" for fintech? We're not quite there yet, argued BuzzFeed News technology reporter Charlie Warzel in a ...

22 Kesä 201645min

Love the term or hate it, the concept and reality of the "sharing economy" (or "gig economy" and so on) is here to stay. And in fact, argues NYU Stern professor and researcher Arun Sundararajan, it ma...

16 Kesä 201628min

The world's most valuable company, Apple, made a number of seemingly incremental announcements at its most recent annual developer's conference (WWDC) -- that Apple Pay is coming to the web; that Siri...

14 Kesä 201625min