Network effect data v/ "just exhaust" data.

it is playlist about machine learning and artificial intelligence. I'm putting here all podcast in english in related topic. If you know something that should be here please drop me a message with link and follow me on twitter: @hyzhak_en

artificial intelligence

From file cabinets to typewriters, spreadsheets and word processing the tools we use for work change not only what we do, but the culture of our workplace. Steven Sinofsky, a veteran of building software tools for productivity, discusses the latest revolution in technology-enabled tools with Benedict Evans. Why today’s cloud-based tools change the role of managers, and why the perfect tool will never exist (nor would you want it to). 

a16z Podcast: Engineering a Revolution at Work

Can technology companies show up and disrupt television with an onslaught of new gizmos and services, or is content still the controlling factor? What will it take in terms of money, business model and time to upend the TV model that has stubbornly persisted for decades? Will the old platforms and players dominate, or is now the time for new players to take charge? Andreessen Horowitz’s Benedict Evans and Zal Bilimoria discuss the future of television.

a16z Podcast: The Future Of Television

With the rise of mobile phones equipped with GPS, we're meeting many more data scientists at start-ups and large companies who specialize in spatio-temporal pattern recognition. Analyzing “moving dots” requires specialized tools and techniques. A few months ago, I sat down with Rajiv Maheswaran founder and CEO of Second Spectrum, a company that applies analytics to sports tracking data. Maheswaran talks about the tools and techniques required to analyze new kinds of sports data.

For more on our interview, visit O'Reilly Radar: http://oreil.ly/1t7EcOQ

The science of moving dots

In this episode, Ben Lorica chats with Jay Kreps, a highly regarded data engineer and former technical lead for Online Data Infrastructure at LinkedIn, and most recently CEO/co-founder of Confluent, about Apache Kafka, data integration, event data, and the Internet of Things.

Building Apache Kafka From Scratch

O'Reilly Ben Lorica chats with Ion Stoica, UC Berkeley Professor and Databricks CEO, about the rise of Apache Spark and Apache Mesos.

Apache Spark's Journey From Academia To Industry

O’Reilly’s big data guru Ben Lorica sits down with prominent data scientist DJ Patil to talk about his new ebook (written with Hilary Mason) and other topics in data science and big data.

A Brief Look At Data Science's Past And Future

If your income can flow from any place on the globe, and you can earn your money on the Internet, the question for individuals and startup teams alike increasingly is: where do I go? In the tech industry the answer more often than not has been Silicon Valley. For many people and companies that is still true, says Sten Tamkivi, CEO and co-founder of Teleport.org, but it’s not a simple binary answer any more. “It’s more a question of when, and how often do you spend time in Silicon Valley?” he says. And of course, why?

Quality, cost, and opportunity, those are the key elements to consider when deciding where in the world you want to be when you are starting a career -- and starting a company. In this segment of the pod, Tamkivi relates his own experience as an executive at Skype, and how he thought about its global workforce and what made it work so well. He also describes what he’s learned from starting his own far-flung company Teleport.org, which is in the business of helping people decide where in the world the best place for their career and company is. 

a16z Podcast: Software and Overcoming the Randomness of Birthplace

If network effects are one of the most important concepts for software-based businesses, then that may be especially true of data network effects -- a network effect that results from data. Particularly given the prevalence of machine learning and deep learning in startups today.

But simply having a huge corpus of data does not a network effect make! So how can startups ensure they don't get a lot of data exhaust but get insight out of and add value to that data and the network? How can they make sure that the (arguably inevitable) data aspect of their business isn't just a sideshow or accident? How should founders strike the balance between not overbuilding/ building a data team vs. having enough data for those data scientists to work with in the first place? And finally, what are the ethical considerations of all this?

The a16z general partners most focused on bio and fintech -- Vijay Pande and Alex Rampell -- join this episode of the a16z Podcast to share their observations and advice on all things data network effects.

a16z Podcast: Data Network Effects

Song for an album expected to come out some time from December to February.

Two Year Summer

Bobby Kotick is the CEO of Activision Blizzard (a merger he engineered); it's one of only two video gaming companies in the Fortune 500, and the largest game network in the world. The company is responsible for some of the most iconic entertainment franchises, including Call of Duty, Candy Crush, Overwatch, and World of Warcraft -- as well as its own professional esports league.

So in this episode of the a16z Podcast, Marc Andreessen interviews Kotick on everything from the evolution of video games in the 1980s to gaming trends more broadly. What changes as gaming goes from "just for nerds" to "just for kids" and spreads more broadly into entertainment and cultural phenomena (esports, Fortnite, Pokemon Go, etc.)... both online and offline?

The conversation originally took place at our annual innovation a16z Summit in November 2018 -- which features a16z speakers and invited experts from various organizations discussing innovation at companies small and large. You can also see other podcasts and videos from this event here: https://a16z.com/tag/summit-2018/

a16z Podcast: Gaming Goes Mainstream

with @kevinchou @cdixon and @smc90

The combination of cloud, social, and mobile took gaming beyond a small base of just console- and PC-gamers to a massive player base. But the underlying business model -- the concept of "free-to-play", built on top of games-as-a-service -- may have been the real innovation that led us to the global gaming phenomenons we have today.

Unfortunately, observes gaming veteran Kevin Chou -- who's seen it all when it comes to tech platform shifts and gaming as a longtime gamer, founding CEO of Kabam, and now founder and CEO of Forte -- there is "a dark side" to free-to-play: Game developers have to balance the gamers who aren't paying with those who are, and especially those who are paying a helluva lot more (the whales) in order to make money and keep the game going. This balance becomes incredibly challenging over time; it is, quite frankly, a lopsided economy. The players will leave: The incentives between game publishers and players are simply not aligned.

Yet what if we could re-align those incentives -- really, the economic relationships -- between game publishers/developers; players and guilds and clans; those who create on top of games (like on Roblox and Minecraft); those who trade and otherwise transact both inside and outside games (it's already happening in secondary markets and gold farms). We could do this in a more balanced way, thanks to blockchain technology and cryptoeconomic business models -- leading to thriving gaming economies with better monetization and deeper engagement, as well as new forms of collaboration, community, and creativity.

But smart contracts, cryptoeconomies, security, etc. is hard for gamers who just want to focus on designing the best game, so how do we get here? Chou shares his thoughts in this episode of the a16z Podcast with Sonal Chokshi and general partner Chris Dixon. In gaming (and in fact, with other tech trends too), innovation happens when there's a combination of new devices, new technology platforms, and new delivery mechanisms... but it's the business-model innovations, argues Dixon, that tend to create the most startup opportunities.

image: battle scene from Eve Online

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a16z Podcast: New Business Models for Gaming

I'm machine learning enthusiast with applied math background and a lot experience as full stack developer.
I'm from Ukraine but now I'm working remotely in Montenegro.

The a16z Podcast discusses tech and culture trends, news, and the future -- especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This podcast is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!

a16z Podcast: Data Network Effects

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