a16z Podcast: Apple and Google Won the Mobile OS War, But a New War Has Already Begun

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? ––– The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation. This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/. Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

13 Dec 201719min

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.

10 Dec 201734min

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.

5 Dec 20179min

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.

2 Dec 201734min

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.

18 Nov 201725min

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?

10 Nov 201729min

with Brandon Ballinger (@bballinger), Mintu Turakhia (@leftbundle), Vijay Pande (@vijaypande), and Hanne Tidnam (@omnivorousread) 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?

3 Nov 201729min

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.

31 Okt 201727min