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jerryking : aftermath   8

The Sensor-Rich, Data-Scooping Future -

Sensor-rich lights, to be found eventually in offices and homes, are for a company that will sell knowledge of behavior as much as physical objects....The Internet will be almost fused with the physical world. The way Google now looks at online clicks to figure out what ad to next put in front of you will become the way companies gain once-hidden insights into the patterns of nature and society.

G.E., Google and others expect that knowing and manipulating these patterns is the heart of a new era of global efficiency, centered on machines that learn and predict what is likely to happen next.

“The core thing Google is doing is machine learning,” Eric Schmidt....The great data science companies of our sensor-packed world will have experts in arcane reaches of statistics, computer science, networking, visualization and database systems, among other fields. Graduates in those areas are already in high demand.

Nor is data analysis just a question of computing skills; data access is also critically important. As a general rule, the larger and richer a data set a company has, the better its predictions become. emerging area of computer analysis known as “deep learning” will blow away older fields.

While both Facebook and Google have snapped up deep-learning specialists, Mr. Howard said, “they have far too much invested in traditional computing paradigms. They are the equivalent of Kodak in photography.” Echoing Mr. Chui’s point about specialization, he said he thought the new methods demanded understanding of specific fields to work well.

It is of course possible that both things are true: Big companies like Google and Amazon will have lots of commodity data analysis, and specialists will find niches. That means for most of us, the answer to the future will be in knowing how to ask the right kinds of questions.
sensors  GE  GE_Capital  Quentin_Hardy  data  data_driven  data_scientists  massive_data_sets  machine_learning  automated_reasoning  predictions  predictive_analytics  predictive_modeling  layer_mastery  core_competencies  Enlitic  deep_learning  niches  patterns  analog  insights  latent  hidden  questions  Google  Amazon  aftermath  physical_world  specialization  consumer_behavior  cyberphysical  arcane_knowledge  artificial_intelligence  test_beds 
april 2015 by jerryking
What fatal flaw led us so deeply into debt?
October 18, 1997 | Globe & Mail | William Thorsell.

The Unheavenly City by Edward Banfield.

Wisdom has three practical dimensions (with intuition providing a fourth for the truly sage person). The first part of wisdom is knowledge, the second is context based on experience, the third is a long perspective on time......the more forward-looking you are, the higher your social class is. People who live a great deal of their intellectual life in the future derive two great advantages over those who do not: They avoid predictable damage to their interests, and they exploit opportunities that might otherwise be lost to others.

This requires a high tolerance for delayed gratification.

In his engaging book, Future Perfect, Stanley Davis argues that most people are stuck managing the results of things that have already happened....the aftermath. Great leaders manage what has not yet happened....the beforemath. "People who take out life insurance and have home mortgages are managing the beforemath...they are managing the consequences of events that have not yet taken place."
William_Thorsell  books  instant_gratification  delayed_gratification  sophisticated  social_classes  debt  debt_crisis  wisdom  long-term  intuition  far-sightedness  beforemath  anticipating  contextual  forward_looking  foresight  aftermath 
july 2013 by jerryking
Jeff Hawkins Develops a Brainy Big Data Company -
November 28, 2012, 12:13 pmComment
Jeff Hawkins Develops a Brainy Big Data Company

Jeff Hawkins, who helped develop the technology in Palm, an early and successful mobile device, is a co-founder of Numenta, a predictive software company....Numenta’s product, called Grok, is a cloud-based service that works much the same way. Grok takes steady feeds of data from things like thermostats, Web clicks, or machinery. From initially observing the data flow, it begins making guesses about what will happen next. The more data, the more accurate the predictions become.
massive_data_sets  Grok  pattern_recognition  start_ups  streaming  aftermath  cloud_computing  predictions  predictive_analytics  Quentin_Hardy 
november 2012 by jerryking
Chicago Reader Blogs: The Sports Page
"The Wall Street Journal doesn't just follow sports. We lead
the way. Sure you might call our sports coverage analytical, insightful
or even forward thinking, but one thing you can't call it is
conventional. When we report on sports, we focus less on what you've
already seen happen and more on what will happen next. We look behind
the scenes. At the big picture. We tell stories you don't expect from a
perspective as unusual as it is engaging. And we show you the shape of
things to come. It's a whole new take on sports. It's sports in the Wall
Street Journal. And it's 5 days a week. Sports coverage has gone pro."
next_play  WSJ  sports  unconventional_thinking  sportscasting  forward_looking  storytelling  interpretative  aftermath  the_big_picture 
june 2009 by jerryking
If You're So Smart, Why Aren't You Rich?
December 27, 2008| Adam Smith, Esq.: An inquiry into the
economics of law firms....| Blog post by Bruce MacEwen
# What are the unspoken assumptions behind this piece?;
# If what the author is saying is correct, what happens next?;
# Does this align with most things we read in the past few months or is
it squarely at odds with the consensus--and then who's right?;
# What are the author's presumed biases, predilections, and
hobbyhorses?; and
# Last and most important--but hardest!--of all, does it spark any new
ideas in your mind? What have you been taking for granted that might be
due for a challenge or an update or a revisionist note?
innovation  lawyers  critical_thinking  Bruce_MacEwen  strategic_thinking  assumptions  smart_people  biases  predilections  questions  aftermath  latent  hidden  insights  ideas  next_play 
march 2009 by jerryking

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