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Blockchain without bitcoin? It's a debate as old as the cryptocurrency itself (which, to be honest, isn't that old). Given that bitcoin is not just a digital bearer instrument/token but is a network, a distributed ledger, a protocol, the question of separating blockchain from bitcoin isn't a moot one. Especially when you think of it analogously to voice over IP, but for financial services.

So what is the financial services industry doing with this "money over IP"? Clearly many large business players are paying attention and trying to get ahead of disruption, by asking themselves exactly what their bitcoin/blockchain strategy is. Adam Ludwin shares what's happening here from his perspective as founder of Chain, an enterprise blockchain platform that partners with financial institutions to help them apply the technology to their markets.

In this episode of the a16z Podcast, Ludwin covers what it's like merging the cultures of finance and tech; what's driving the recent bitcoin prices; why he believes in blockchain beyond bitcoin; whether there can be such a thing as private or permissioned blockchains; definitions of newer concepts like 'colored coins' and 'sidechains'; and more. Oh and what are the most interesting native apps, too.

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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.

a16z Podcast: Blockchain vs/and Bitcoin

In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and know about SAS Enterprise Miner. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/41

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 041: An Inspiring Journey from a Totally Different Background to Data Science

Before becoming the CEO of Block.io, Atif Nazir talks about building the #2 application on Facebook and his major success after challenges being a Bitcoin “believer” before the crypto-craze. Among speaking on society's  acceptance of technological advancements, Nazir shares advice on taking the complexity out of crypto and simplifying it as an entrepreneur to reach success.

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Make sure you check out our Podcast on iTunes and Spotify! 
We will be posting MORE content on there!

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iTunes: https://itunes.apple.com/us/podcast/coinbundle-podcast/id1437929993?mt=2

Spotify: https://open.spotify.com/show/5ae65PqWxmU0EdPGqWNboG?si=jBLn1LjvRLyWZRYVWo_VGw

We Sit Down With Early BlockChain Entrepreneur and Founder of the #2 Facebook Application

Coin Bundle sits down with Chandan Lodha, the CEO of one of our favorite tools, CoinTracker! Four years at Google could not keep him from sparking interest in cryptocurrencies and later moving on to launch his own tool in the height of the crypto-craze. Lodha shares how to spot the difference between a good and bad exchanges and gives us great tips for first time investors.

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Make sure you check out our Podcast on iTunes and Spotify! 
We will be posting MORE content on there!

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iTunes: https://itunes.apple.com/us/podcast/coinbundle-podcast/id1437929993?mt=2

Spotify: https://open.spotify.com/show/5ae65PqWxmU0EdPGqWNboG?si=jBLn1LjvRLyWZRYVWo_VGw

Chandan Lodha Shares His Experiences Building CoinTracker & Tips for the First-Time Investor

Many technical founders, academics, and other experts often believe that great products -- or great ideas! -- sell themselves, without any extra effort or marketing. But in reality, they often need PR (public relations).

The irony is, most of the work involved in PR is actually invisible to the public -- when it works, that is -- and therefore hard for those from the outside to see let alone understand. So how does such brand-building really work? In this 10-year anniversary episode of the a16z Podcast (and our 499th episode), a16z operating partner Margit Wennmachers shares the case study of her work at The Outcast Agency (which she co-founded) and of building the a16z brand (where she heads marketing and was the first and one of the earliest hires).

What's the backstory there? What's the backstory behind some of the most popular media stories and op-eds -- like "software is eating the world" -- and what can it teach us about how PR and brand-building works in practice? Because -- like many software companies -- the product is so abstract, and not something you can physically touch, what kind of subtle decisions and tactics big and small does it take? Answering some frequently asked questions (in conversation with editor in chief Sonal Chokshi) that we often get around how things work, Wennmachers reveals (just some;) of the details behind the scenes. Given that technology is all about disintermediating "brokers" in the middle, will tech one day replace PR? And finally, what's the hidden Silicon Valley network mafia that NO one talks about?

Brand Building Ideas… and People

"Hi everyone, welcome to the a16z Podcast..." ... and welcome to our 500th episode, where, for the first time, we reveal behind-the-scenes details and the backstory of how we built this show, and the broader editorial operation.

We've talked a lot about the podcasting industry, and even done podcasts about podcasting, so for this special episode, editor-in-chief and showrunner Sonal Chokshi reveals the how, what, and why in conversation with a16z general partner (and guest-host for this special episode) podcasting fan Connie Chan. We also answer some frequently asked questions that we often get (and recently got via Twitter), such as:

how we program podcasts
what's the process, from ideas to publishing
do we edit them and how!
do guests prep, do we have a script
technical stack

...and much more. In fact, much of the conversation goes beyond the a16z Podcast and towards Sonal's broader principles of 'editorial content marketing', which hopefully helps those thinking about their own content operations and podcasts, too. Including where podcasting may be going.

Finally, we share some unexpected moments, and lessons learned along the way; our positions on "tics", swear-words, and talking too fast; failed experiments, and new directions. But most importantly, we share some of the people behind the scenes who help make the a16z Podcast what it was, is, and can be... with thanks most of all to *you*, our wonderful fans!

a16z Podcast: How We Podcast

Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience.

In this episode you will learn: 
• Where did Stratos start? [6:16]
• How to keep the momentum for learning [12:20]
• Stratos’s goals [19:35]
• Planning the steps to getting a data science job [23:01]
• Triad for successful interviews [32:47]
• Application process [34:53]
• Experiences from the first data science job [45:51]

Additional materials: www.superdatascience.com/351

SDS 351: Self-Starting In Data Science

DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children.

In this episode you will learn:
• How does it feel to be the person who created data science as we know it now? [3:17]
• What data science is not [6:01]
• Ethics and data science development in different countries [10:00]
• What is the “biorevolution”? [16:02]
• The importance of data sharing [20:10]
• The current state of Chief Data Scientist of USA [24:07]
• LinkedIn Q&A [26:03]
• What to think about when you think about data science [44:08]

Additional materials: www.superdatascience.com/355

SDS 355: DJ Patil on Harnessing the Power of Data Science Community

In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”.

Additional materials: www.superdatascience.com/374

SDS 374: Remember to Wind Down

Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services.

In this episode you will learn:
• Will we have cloud-based solutions for VR and working from home? [8:15]
• Greg’s career journey [11:50]
• From Hadoop to Cloud [23:35]
• The cloud element in data science [30:17]
• Data science and AI in Oracle [33:00]
• Is Oracle more suited for larger companies only? [37:35]
• Fundamental differences between Oracle Cloud, Amazon, and Azure [42:12]
• Trends in data science and data management [45:14]
• Why should someone choose Oracle over any other open source? [52:50]
• How does the future of data management look like? [56:00]
• 5G and edge computing [1:01:36] 
• Greg’s recommendation to data scientists [1:04:28]

Additional materials: www.superdatascience.com/375

SDS 375: Utilizing Oracle Cloud as an Enterprise, Small Business, or Developer

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 355: DJ Patil on Harnessing the Power of Data Science Community

Super Data Science: ML & AI Podcast with Jon Krohn