Consumer software may have adopted and incorporated AI ahead of enterprise software, where the data is more proprietary, and the market is a few thousand companies not hundreds of millions of smartphone users. But recently AI has found its way into B2B, and it is rapidly transforming how we work and the software we use, across all industries and organizational functions.  In this episode, Das Rush interviews Oleg Rogynskyy, founder of People.ai, an AI platform for sales and marketers, and Peter Lauten from the a16z Enterprise investing team about what the rise AI in B2B means for enterprises, workers, and startups. They explain why AI provides a strong first mover advantage to enterprises that adopt it early; how it can automate lower level tasks, maximize our focus, and, ultimately, make our work more meaningful; and for startups, they provide a playbook for seizing the next AI opportunity.

This rerun podcast (first recorded in 2015, now being rerun as one of our evergreen classics/ favorites) -- is ALL about emoji. But it's really about how innovation really comes about: through the tension between open standards vs. closed/ proprietary systems; the politics of time and place; and the economics of creativity, from making to funding. So yes, this podcast is all about emoji. But it's also about where emoji fits in the taxonomy of social communication, and why that matters -- from making emotions machine-readable to being able to add "limbic" visual expression to our world of text. And if emoji is a language, why can't we translate it; why so ambiguous?? How do emojis work, both technically underneath the hood... and in the (committee) Room Where It Happens? Joining this episode are former VP of Data at Kickstarter Fred Benenson (and the man behind 'Emoji Dick'); and former New York Times reporter and current Unicode Emoji subcommittee vice-chair, Jennifer 8. Lee (and one of the women behind the dumpling emoji) -- in conversation with Sonal Chokshi. image: Yiying Lu (@yiyinglu)