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ANDRÉ CRAMER

… my view of where technology innovation will lead us

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Stats & Data

Tesla Shows How Traditional Business Metrics Are Outdated (Eddie Yoon)

A great article using Tesla as an example of how in the digitalization age traditional business metrics get outdated. How do we compare new concepts, businesses, ecosystems to related traditional counterparts? Here’s some very useful food for thought:

“Elon Musk is having a moment. Tesla just delivered its first Model 3, the affordable model that he envisioned in his “secret” strategy some 11 years ago. He wanted to build a sports car, then build a more affordable car with zero emissions. He’s basically already there. The Model 3 has mostly rave reviews and a multiyear waiting list, which is quite a feat, even for an industry leader like Musk.

And yet confusion still abounds regarding Tesla. There are roughly the same number of buy, hold, and sell ratings on the company, which means Wall Street has no idea what’s going on. Tesla’s recent announcement to raise $1.5 billion in debt was largely met with a yawn by stockholders, as shares moved down a slight 0.5%. Tesla’s ability to surprise has analysts wondering if it is wise to ever bet against Elon Musk…”

Read the article on HBR: Tesla Shows How Traditional Business Metrics Are Outdated

The Streaming Problem: How Spammers, Superstars, and Tech Giants Gamed the Music Industry (Adam K. Raymond)

This is a great read with insights into how a fully digitally transformed ecosystem like the music industry is becoming the target for creative spamming and exploitation that just wasn’t thinkable in the analog times or in the early digital times when haptic media like CDs were still used. Apparently it is not so easy these days not to be tricked and fooled by spammers who play the system in order to generate significant passive income streams. Exciting read!

“A few weeks after the release of Kendrick Lamar’s “Humble,” the hard-charging lead single on his fourth album Damn., the song landed at No. 1 on Billboard’s streaming chart. It’s been on the chart ever since, never falling below No. 3 as users have played it more than 291 million times on Spotify alone.

And that’s just the streaming total for Lamar’s version. His hit song has also been a boon for Spotify’s parasitic underbelly — the coverbots and ripoff artists who vomit out inferior versions of popular songs every week, flooding the website with dreck that only succeeds when users are misled. No one would willingly listen to King Stitch’s “Sit Down, Be Humble,” a third-rate cover of Lamar’s original, but the track has been streamed more than 300,000 times thanks to Spotify’s broad search results and a clever title designed to confuse those who don’t know the song’s real name…”

Read more here: How Spammers, Superstars, and Tech Giants Gamed Music

A super-useful Ecosystem Map of the Cryptotech & Blockchain Space: Mapping the decentralized World of tomorrow (Alexander Ruppert)

The Media is going crazy about Bitcoin, Ethereum and the rise of crypto markets. Entrepreneurs from the sector have kind of a Rockstar status raising millions of USD in seconds through ICOs. However, the crypto sector is much more than Bitcoin, fintech, trading and crypto currencies — it’s about building a better, decentralized, (digital) world.

By using the term “decentralization” I refer to a process of redistributing functions, people, powers or things away from a central authority. The problem with centralized systems is that they lack transparency, allow for single points of failure, censorship, abuse of power and inefficiencies. The fundament of their existence often is missing trust within communities or networks, so they need a trust building intermediary to be organized…

via Mapping the decentralized world of tomorrow – Earlybird’s view – Medium

This is impressive progress made possible by Machine Learning: Google’s speech recognition technology now has a 4.9% word error rate (Emil Protalinski)

Google CEO Sundar Pichai today announced that the company’s speech recognition technology has now achieved a 4.9 percent word error rate. Put another way, Google transcribes every 20th word incorrectly. That’s a big improvement from the 23 percent the company saw in 2013 and the 8 percent it shared two years ago at I/O 2015.

The tidbit was revealed at Google’s I/O 2017 developer conference, where a big emphasis is on artificial intelligence. Deep learning, a type of AI, is used to achieve accurate image recognition and speech recognition. The method involves ingesting lots of data to train systems called neural networks, and then feeding new data to those systems in an attempt to make predictions…

 

Source: Google’s speech recognition technology now has a 4.9% word error rate | VentureBeat | Dev | by Emil Protalinski

Very useful 25min Video on Tech Trends in China: A Whirlwind Tour Through Trends in China (Connie Chan)

In China, a country that leapfrogged the PC era to go mobile-first, the smartphone is the “remote control” of people’s lives… especially given the dominance of messaging/operating-system platforms like WeChat. But this is about more than just WeChat, Alipay, and others — it’s about online-to-offline commerce in general (and the viability of on-demand marketplaces there); the past, present, and future of QR codes; and new forms of social-mobile communication, from livestreaming to stickers to even VR cafes as a vector of early adoption…

Source: A Whirlwind Tour Through Trends in China – Andreessen Horowitz

Awesome Collection of Long-Reads on the 10 Breakthrough Technologies 2017 (MIT Technology Review)

These technologies all have staying power. They will affect the economy and our politics, improve medicine, or influence our culture. Some are unfolding now; others will take a decade or more to develop. But you should know about all of them right now…

Source: 10 Breakthrough Technologies 2017

Must-See AndreesenHorowith Video: A Whirlwind Tour Through Trends in China (Connie Chan)

In China, a country that leapfrogged the PC era to go mobile-first, the smartphone is the “remote control” of people’s lives… especially given the dominance of messaging/operating-system platforms like WeChat. But this is about more than just WeChat, Alipay, and others — it’s about online-to-offline commerce in general (and the viability of on-demand marketplaces there); the past, present, and future of QR codes; and new forms of social-mobile communication, from livestreaming to stickers to even VR cafes as a vector of early adoption…

Good collection of Foresight Fails: The absolute worst Technology Predictions of the past 150 years (lya Pestov)

There’s a long-standing tradition among scientists, engineers, and industrialists. Every new year, they make predictions about a future.

Is blockchain a major technology, or it’s just a buzzword? Bots vs Apps: who will win in 2017? Will this finally be the year that virtual reality stops giving people motion sickness?

Well, technology has proven to be extraordinarily slippery over the past century. Despite the vast information that industry insiders have had at they’re fingertips, they’ve made some pretty terrible forecasts over the years…

Source: The absolute worst technology predictions of the past 150 years

Very useful: 15 Mind-Blowing Statistics Reveal What Happens on the Internet in a Minute (Larry Kim)

Consider this: Every minute of every day, staggering amounts of data are being generated as consumers connect to, search for, watch, create, download, and shop for content.
Making sense of what all this data means is critical for the success of your company or brand.
So what are the 3.2 billion people who make up today’s global internet population doing online?…

Source: 15 Mind-Blowing Statistics Reveal What Happens on the Internet in a Minute — All Things Marketing and Entrepreneurship — Medium

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