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Managing the data age
Business in a time of information abundance
• PC and internet revolutions have changed
business
• Mobile
• Accounting software as an example
Where are we today?
• Today we’re on the cusp of great
change like in 1915
• Energy became cheap and
abundant in the 20th Century,
today it’s information
Entering the data age
• Algorithmic management
• Machine learning
• Robotics
• Faster decision making
• We still have the structures of the twentieth
century
Where next?
• Use windows cleaning robot
• The internet of things
• Big data
• The Japanese response has been increased automation, so
now we’re seeing companies releasing new equipment that
works autonomously.
• We thought robots would look like the android in Lost In
Space.
• Better than human – Kevin Kelly
• Will a robot take your job? – Gary Marcus
• Robots and robber barons – Paul Krugman
• Myth of the jobless recovery – Matt Yglesias
• The end of labor – Timothy Noah
The future workforce
• Uber
• Changing demographics
• Loss of fifty percent of law enforcement
Driverless cars
• Faster decision making
• Understanding data
• Recruiting and training data literate
workers
Changing management .
• Business has to be leaner
• Management needs to be faster
• Globalistion accelerating
• Workforces and markets aging
• End of consumerist economy
NOT business as usual
Contact me
www.paulwallbank.com
paul@paulwallbank.com
@paulwallbank

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Managing Data & Business in an Information Abundant Age

  • 1. Managing the data age Business in a time of information abundance
  • 2. • PC and internet revolutions have changed business • Mobile • Accounting software as an example Where are we today?
  • 3. • Today we’re on the cusp of great change like in 1915 • Energy became cheap and abundant in the 20th Century, today it’s information Entering the data age
  • 4. • Algorithmic management • Machine learning • Robotics • Faster decision making • We still have the structures of the twentieth century Where next?
  • 5. • Use windows cleaning robot • The internet of things • Big data • The Japanese response has been increased automation, so now we’re seeing companies releasing new equipment that works autonomously. • We thought robots would look like the android in Lost In Space. • Better than human – Kevin Kelly • Will a robot take your job? – Gary Marcus • Robots and robber barons – Paul Krugman • Myth of the jobless recovery – Matt Yglesias • The end of labor – Timothy Noah The future workforce
  • 6. • Uber • Changing demographics • Loss of fifty percent of law enforcement Driverless cars
  • 7. • Faster decision making • Understanding data • Recruiting and training data literate workers Changing management .
  • 8. • Business has to be leaner • Management needs to be faster • Globalistion accelerating • Workforces and markets aging • End of consumerist economy NOT business as usual