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jonerp : year   3

10 Charts That Will Change Your Perspective On Artificial Intelligence’s Growth - by @louiscolumbus
"Machine Learning, Deep Learning and Natural Language Processing (NLP) are the three most in-demand skills on Just two years ago NLP had been predicted to be the most in-demand skill for application developers creating new AI apps. In addition to skills creating AI apps, machine learning techniques, Python, Java, C++, experience with open source development environments, Spark, MATLAB, and Hadoop are the most in-demand skills. Based on an analysis of entries as of today, the median salary is $127,000 in the U.S. for Data Scientists, Senior Data Scientists, Artificial Intelligence Consultants and Machine Learning Managers."
business  technology  software  ai  startups  artificial  intelligence  byline=louis  columbus  louis  machine  learning  stanford  one  hundred  year  study  on  (ai100)  university 
january 2018 by jonerp
The 2017 Stratechery Year in Review - by @benthompson
The 2017 Stratechery Year in Review
Posted onWednesday, December 20, 2017

The slogan for Stratechery’s sister podcast, Exponent, is “Tech and Society”; never has that felt more appropriate than 2017. This year I wrote 136 Daily Updates (including tomorrow) and 46 Weekly Articles, and, as per tradition, today I summarize the most popular and most important posts of the year: tech and society figure prominently.

You can find previous years here: 2016 | 2015 | 2014 | 2013

Here is the 2017 list.

The Five Most-Viewed Articles

Stratechery not only had record traffic in 2017, but year-over-year growth was also the highest ever; unsurprisingly, the first three articles were in Stratechery’s all-time top five in terms of traffic (Amazon’s New Customer was number one by a long-shot), and the other two in the top twelve.

Amazon’s New Customer — The key to understanding Amazon’s purchase of Whole Foods is to understand that Amazon didn’t buy a retailer: the company bought a customer.
Microsoft’s Monopoly Hangover — There are striking similarities between Microsoft today and IBM in the Lou Gerstner era, but today’s IBM should be a warning to Redmond.
Alexa: Amazon’s Operating System — Money is made at chokepoints, and the most valuable chokepoints are operating systems; Amazon has built exactly that with Alexa.
Facebook and the Cost of Monopoly — Facebook gave one of the worst keynotes in a long time: there was no vision, just the adoption of Snap’s. It’s the inevitable outcome of a monopoly.
The Uber Dilemma — Benchmark’s lawsuit against Uber is extraordinary; that is because Uber, despite everything, remains an extraordinary company. Game theory explains the implications.

Five Big Ideas

These five posts very much capture the biggest themes of 2017: the power of aggregators, one of the most important acquisitions in media history, Bitcoin, sexual harassment, and Apple and China."
articles  year  in  review 
december 2017 by jonerp
The Year Ahead: What’s in Store for Machine Learning? - by @kimberlymok
"It’s been a breakthrough year for machine learning. This form of artificial intelligence — which uses algorithms to provide computers with the ability to learn from data and make computational predictions without explicit programming— has long been confined to academia since the 1950s. But there’s a noticeable shift in the air, as we’re seeing machine learning (ML) being incorporated into conspicuous items like autonomous cars, robots and drones, and even computers smart enough to beat humans on quiz shows."
culture  technology  science  machine  learning  artificial  intelligence  the  year  ahead 
january 2016 by jonerp

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