a16z tracks on Soundclound

#a16z

a16z Podcast: Mental Models for Understanding Crypto Tokens
a16z

This episode of the a16z Podcast goes deep on various trends in cryptocurrencies -- from mental models for understanding tokens and what may give them long-term value; to the role of stablecoins in the ecosystem; to scaling, on-chain and off-chain protocols, forks, and more. The discussion features general partner Chris Dixon in conversation with Nick Tomaino, the founder of early-stage crypto venture fund 1confirmation, editor of The Control, and former business development at Coinbase. (He is also an investor in Basecoin, Cosmos, Ethereum, and MakerDAO.) You can also check out past episodes in this series, covering everything from investing in cryptocurrencies and protocols to accelerating research and practical applications to why crypto tokens matter -- as well as a video covering the building blocks of all things crypto -- at a16z.com/crypto.

Technology
23,410
a16z Podcast: Reinventing Food
a16z

It's surprising that how (and what) we eat has actually changed very little over the ages, despite how much we’ve advanced as a species. Now, however -- driven by globalization, environmental factors, and other considerations -- the way we move, taste, and make our food is moving forward too. From countering the limits of seasonality and global transport to re-thinking our species’ dependence on meat to optimizing nutrition to distilling the essence of taste, this discussion with Bryan Crowley, President of Soylent; 
Ooshma Garg, founder and CEO of Gobble; 
David Lee, COO and CFO of Impossible Foods
; and James Rogers, cofounder and CEO of Apeel Sciences -- and moderated by a16z Partner Kim Milosevich -- is all about the future of food... including how we define what “food”really is.

Technology
54,891
a16z Podcast: Revisiting the Gene
a16z

The complete sequencing of the human genome is one of the most powerful examples of technology and science in action: We've gone from needing $3 billion and over 13 years to read a single human genome to today, to where we can do that same amount of work for about $1,000 in roughly 2 days -- and the price will only continue to drop. But beyond pricing, what does understanding the gene -- and moving from the sequencing layer to the applications layer -- mean to us; what new questions arise now that we can sequence DNA quickly, reliably, and cheaply? This conversation -- with co-founder and CEO of Jungla Carlos Araya and co-founder and CEO of Freenome Gabe Otte, moderated by a16z General Partner Jorge Conde (based on a discussion that took place at a16z’s annual Summit in November 2017) -- takes a step back and considers all these questions. Every time a human genome sequence is completed, there are on the order of 3,000,000 new variants identified. So how do we think about interpreting all that data? Actionability? And how do we derive meaning from all this, for applications in the clinical space?

Technology
60,469
a16z Podcast: Community and Culture, Online
a16z

We’re so used to thinking of “community” as our friends, families, and neighbors. But what a community is, and who it is made of, has changed thanks to the internet, and without our noticing it. What happens when online communities -- really, new subcultures -- form primarily around interests, not just personal relationships? Featuring VP of Product at Reddit Alex Le, CEO of Rabbit Michael Temkin, and CEO and co-founder of HVMN Geoffrey Woo -- in conversation with a16z general partner Chris Dixon -- this episode of the a16z Podcast is based on a discussion that took place at a16z’s annual Summit in November 2017. As communities of strangers and activities connect online and offline in new and different ways, what else changes?

Technology
52,769
a16z Podcast: Fintech for the People
a16z

New fintech companies are democratizing access to financial services in different ways, whether it's making food stamps more efficient, no longer waiting two weeks for a paycheck, or enabling anyone with a smartphone in developing countries to create small businesses. But what these all have in common -- besides a more inclusive approach to finance -- is also changing, in some way, the fundamental way our financial system works. Featuring CEO of Propel Jimmy Chen, CEO of Branch Matt Flannery, and CEO of Earnin Ram Palaniappan, in conversation with a16z partner Angela Strange, this episode of the a16z Podcast is based on a discussion that took place at a16z's annual Summit in November 2017. Financial innovation can come in unexpected ways from unexpected places -- but what does that mean for established players? For the future of fintech overall?

Business
60,782
a16z Podcast: Trends in Cryptocurrencies
a16z

The internet, believe it or not, was just the beginning. Yes, it spawned an incredible number of uses (some unexpected), from marketplaces and commerce to publishing and social networks... but that’s all been built with old models of funding and coordination. Now, as we enter a new phase of blockchain-enabled innovation -- decentralized, distributed, crowdfunded -- we’re finally bringing capitalism to open source: Smart people can come together in new ways, to build new things. In this brief discussion from a16z Summit November 2017, founder and CEO at Protocol Labs Juan Benet and founder and CEO of Polychain Capital Olaf-Carlson Wee -- both of whom have appeared on the a16z Podcast for more in-depth conversations -- chat with general partner Chris Dixon to summarize the big picture on crypto, going beyond the buzz around ICOs to the golden age of protocols.

Technology
60,562
a16z Podcast: The $200 PC in the Enterprise
a16z

What capabilities do enterprise companies really want from their computers? Twenty years ago, those capabilities might've been bundled into a mainframe. Ten years ago, it might've been the PC. Today, as more and more businesses rely on devices that need only browsers/ internet connectivity, what will the "$200 box" sitting at an employee workstation look like? In this hallway-style episode of the a16z Podcast, Benedict Evans and Steven Sinofsky discuss how tech devices evolve for the enterprise -- and more broadly, what happens when the S-curve levels out??

56,573
a16z Podcast: Of Governors and Mayors, and Tech Policy
a16z

Many of the big tech policy issues of the day play out more so at the state and local level, not just federal level. The decisions that cities and states make every day -- from autonomous vehicles to bike sharing -- may therefore end up setting the stage for broader government policies around new tech. But where do "politics" come in for these policy decisions? Many tech policies are in fact bi-partisan or even non-partisan, argue Governor Doug Ducey (R-Arizona) and Mayor of South Bend Pete Buttigieg (D-Indiana), in conversation with a16z policy team head Ted Ullyot. This "byte-sized" episode of the a16z Podcast is based on a conversation recorded November 2017 at our annual Summit event, focused on innovation. How can places and people be more receptive to innovation and innovators?

News & Politics
47,511
a16z Podcast: Taking the Pulse on Bio
a16z

This conversation between the members of a16z's bio team -- including general partners Jorge Conde and Vijay Pande; Malinka Walaliyadde; and Jeffrey Low (the interviewer) -- takes a quick pulse on where we are with when bio becomes more like engineering. Especially given the announcement of our second bio fund, this episode of the a16z Podcast covers everything from the broader trends at play to some specific areas of interest... as well as what types of entrepreneurs may bring us forward into the new Century of Biology.

Technology
54,716
a16z Podcast: Scaling Healthcare
a16z

No matter how grand a vision for a particular industry, disruption in practice is hard. This is especially true in industries like healthcare, which have long been resistant to software-driven change. But sometimes you can innovate within the bounds of the industry, using those very constraints to move it forward -- whether it’s understanding and working with the early adopters in healthcare to focusing on the bottomline. This conversation -- recorded at our recent a16z Summit in November 2017 -- between co-founder and CEO of Omada Health, Sean Duffy and CEO of Accolade, Rajeev Singh (moderated by a16z bio fund partner Jeff Low), considers how such innovation affects go-to-market strategies and pricing to measuring savings and the entire ecosystem of healthcare spend. As this generation of digital health tech companies begin to change the healthcare business -- and scale -- what effect are they having on the rising cost of heathcare overall, and the bottom line?

Business
53,321
a16z Podcast: Market Shifts
a16z

NASDAQ CEO Adena Friedman runs one of the world's largest financial services companies, including the NASDAQ stock exchange that's home to more than 3,500 listed companies. They were also the creator of the world's first electronic stock market. Yet how does the company adapt to technology trends today, such as the blockchain? How does it deal with other headwinds in its business, from fewer listed companies to trends in passive vs. active investing? Based on a conversation that was recorded at our annual a16z Summit in November 2017, this podcast features general partner Jeff Jordan interviewing Friedman about these changes... as well as broader themes in the way markets work. They also discuss the IPO process (which Jordan has also shared his experiences and advice on) -- from what companies should be thinking about to where technology could help.

Business
60,176
a16z Podcast: On Data and Data Scientists in the Age of AI
a16z

Data, data, everywhere, nor any drop to drink. Or so would say Coleridge, if he were a big company CEO trying to use A.I. today -- because even when you have a ton of data, there's not always enough signal to get anything meaningful from AI. Why? Because, "like they say, it's 'garbage in, garbage out' -- what matters is what you have in between," reminds Databricks co-founder (and director of the RISElab at U.C. Berkeley) Ion Stoica. And even then it's still not just about data operations, emphasizes SigOpt co-founder Scott Clark; your data scientists need to really understand "What's actually right for my business and what am I actually aiming for?" And then get there as efficiently as possible. But beyond defining their goals, how do companies get over the "cold start" problem when it comes to doing more with AI in practice, asks a16z operating partner Frank Chen (who also released a microsite on getting started with AI earlier this year)? The guests on this short "a16z Bytes" episode of the a16z Podcast -- based on a conversation that took place at our recent annual Summit event -- share practical advice about this and more.

Technology
63,486
a16z Podcast: AI, from 'Toy' Problems to Practical Application
a16z

When you have “a really hot, frothy space” like AI, even the most basic questions — like what is it good for, how do you make sure your data is in shape, and so on — aren’t answered. This is just as true for the companies eager to adopt the technology and get into the space, as it is for those building companies around that space, observes Joe Spisak, Head of Partnerships at Amazon Web Services. “People treat it like magic,” adds a16z general partner Martin Casado. This magical realism is especially true of AI, because by definition — i.e., machines learning — there is a bit of a “black box” between what you put in and what you get out of it. Which may be fine… Except when you have to completely change the data being fed into that black box, or you’re shooting for a completely different target to come out of it. That’s why, observes Scott Clark, CEO and co-founder of SigOpt, “an untuned, sophisticated system will underperform a tuned simple system” almost every time. So what does this mean for organizations going from so-called “toy” problems in R&D to real business results tied to KPIs and ROI? In this episode of the a16z Podcast, Casado, Clark, and Spisak (in conversation with Sonal Chokshi) share their thoughts on what’s happening and what’s needed for AI in practice, given their vantage points working with both large companies and AI startups. What does it mean for data scientists and domain experts? For differentiation and advantage? Because even though we finally have widely available building blocks for AI, we need the scaffolding too… and only then can we build something powerful on top of it.

Technology
68,035
a16z Podcast: The Rise of the CCO
a16z

There's a new C-level role in town: the CCO, or Chief Customer Officer. This episode (based on a previous event) is all about the rise of this new role, why it's so important -- and what the actual scope and function of the role should be. a16z's Matt Levy, partner on the exec talent team, discusses with (CCOs all) Allison Pickens of Gainsight; Krista Anderson-Copperman from Okta; and Hatima Shafique from Databricks why it is that the Chief Customer Officer is becoming more prevalent across a number of different kinds of companies; what the strategic value of a CCO is (and how it's actually very different from a VP of Customer Success!); and finally, the career pathing of the Chief Customer Officer.

Technology
74,381
a16z Podcast: How Founders Hire a VP of Product
a16z

Hiring a VP of Product -- especially as the founder of the company -- can almost feel like handing over your baby to someone else to hold, observes a16z executive talent team partner Caroline Horn, who hosted an event on this topic earlier this year (which this podcast is based on). Featuring Vijay Balasubramaniyan, founder/CEO of Pindrop; Shishir Mehrotra, founder and CEO of Coda; Gokul Rajaram, Production Engineering Lead at Square; and Alan Schaaf, founder/CEO of Imgur -- and moderated by general partner Martin Casado -- the discussion covers everything from what the VP of Product role really is to how to hire and integrate it into your company. Because if you're going to be handing your "baby" over... how can you avoid common pitfalls? And know that you pick the right person for the job?

Business
77,536
a16z Podcast: Putting AI in Medicine, in Practice
a16z

There’s been a lot of talk about technology -- and AI, deep learning, and machine learning specifically -- finally reaching the healthcare sector. But AI in medicine isn’t actually new; it’s actually been there since the 1960s. And yet we didn’t see it effect a true change, or even become a real part our doctor’s offices -- let alone routine healthcare services. So: what's different now? And what does AI in medicine look like, practically speaking, whether it's ensuring the best data, versioning software for healthcare, or other aspects? In this episode of the a16z Podcast, Brandon Ballinger, CEO of Cardiogram; Mintu Turakhia, cardiologist at Stanford and Director of the Center for Digital Health; and general partner and head of a16z bio fund Vijay Pande in conversation with Hanne Tidnam discuss where will we start to see AI in healthcare first -- diagnosis, treatment, or system management -- to what it will take for it to succeed. Will we perhaps see a "levels" of AI framework for doctors as we have for autonomous cars?

78,806
a16z Podcast: The Why Behind the Weird
a16z

Author and professor at George Mason University, Peter Leeson describes himself as not just an economist but as a "collector of curiosa." In his latest book, WTF?! An Economic Tour of the Weird, Leeson looks at just that -- the strangest beliefs, superstitions and rituals humankind has engaged in -- and using economics, uncovers the incentives and rational behavior that makes them, well, make a whole lot more sense. In this Halloween Special, Leeson and a16z's Hanne Tidnam dive into the weirdest historical mysteries -- everything from ecclesiastic courts that put rats and rodents on trial, to judicial ordeals that determined guilt or innocence by boiling the accused's hands in cauldrons of hot water, to the economics and laws that governed pirate ships. All these practices, Leeson argues, use superstitions and beliefs like tools: a kind of technology -- in the broadest possible terms.

Technology
74,860
a16z Podcast: Revenge of the Algorithms (Over Data)... Go! No?
a16z

with Frank Chen, Steven Sinofsky, and Sonal Chokshi There are many reasons why we’re in an “A.I. spring” after multiple “A.I. winters” — but how then do we tease apart what’s real vs. what’s hype when it comes to the (legitimate!) excitement about artificial intelligence and machine learning? Especially when it comes to the latest results of computers beating games, which not only captures our imaginations but has always played a critical role in advancing machine intelligence (whether it’s AI winning Texas Hold’em poker or beating the world human champ in the ancient Chinese game of Go). But on learning that Google DeepMind’s AlphaGo can master the game of Go without human knowledge — or more precisely: “based solely on reinforcement learning, without human data, guidance, or domain knowledge beyond game rules” — some people leap too far towards claims of artificial generalized intelligence. So where can we then generalize the findings of such work — unsupervised learning, self-play, etc. — to other specific domains? What does it mean for entrepreneurs building companies (and what investors look for)? And what does it mean for how we, as humans, learn… or rather, how computers can also learn from how we learn? Deal and research operating team head Frank Chen and a16z board partner Steven Sinofsky ponder all this and more, in conversation with Sonal Chokshi, in this episode of the a16z Podcast. We ended last time with the triumph of data over algorithms and begin this time with the triumph of algorithms over data … is this the end of big data?

Technology
82,051
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