The Resource What to do when machines do everything : how to get ahead in a world of AI, algorithms, bots, and big data, Malcolm Frank, Paul Roehrig, and Ben Pring, (electronic resource)

What to do when machines do everything : how to get ahead in a world of AI, algorithms, bots, and big data, Malcolm Frank, Paul Roehrig, and Ben Pring, (electronic resource)

Label
What to do when machines do everything : how to get ahead in a world of AI, algorithms, bots, and big data
Title
What to do when machines do everything
Title remainder
how to get ahead in a world of AI, algorithms, bots, and big data
Statement of responsibility
Malcolm Frank, Paul Roehrig, and Ben Pring
Creator
Contributor
Author
Subject
Genre
Language
eng
Cataloging source
UMI
http://library.link/vocab/creatorName
Frank, Malcolm
Illustrations
illustrations
Index
no index present
LC call number
HD6331
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1962-
http://library.link/vocab/relatedWorkOrContributorName
  • Roehrig, Paul
  • Pring, Benjamin
http://library.link/vocab/subjectName
  • Automation
  • Information technology
  • Technological innovations
Label
What to do when machines do everything : how to get ahead in a world of AI, algorithms, bots, and big data, Malcolm Frank, Paul Roehrig, and Ben Pring, (electronic resource)
Link
https://mcpl.idm.oclc.org/login?url=http://proquestcombo.safaribooksonline.com/?uiCode=midcontpl&xmlId=9781119278665
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 6
  • Become a "Know-It-All"
  • 120
  • What to Do on Monday? Capitalize on Code
  • 124
  • Digits over Widgets: The Next Age of Business and Technology
  • 132
  • Chapter 9
  • Enhance: Amplify Human Performance with the New Machine
  • 133
  • Stone Age, Bronze Age, Iron Age ... Digital Age
  • But Will I Be Automated Away?
  • 135
  • Enhanced jobs Will Be Protected Jobs
  • 136
  • Smart Robots Make Smarter Hands
  • 141
  • What to Do on Monday? Partner with Systems of Intelligence
  • 145
  • You + New Tools = Enhancement
  • 151
  • Chapter 10
  • 8
  • Abundance: Finding Your 10x Opportunities with the New Machine
  • 153
  • What to Do on Monday? Find Abundance in Your Organization
  • 157
  • Increasing Prosperity by Lowering Prices
  • 165
  • Chapter 11
  • Discovery: Manage Innovation for the Digital Economy
  • 167
  • R&D Without AI Is No R&D at All
  • Getting AHEAD in the Age of the New Machine
  • 171
  • Discovery Is Hard, but Not as Hard as Being Irrelevant
  • 176
  • What to Do on Monday? Don't Short Human Imagination
  • 176
  • Create Your Own Budding Effect
  • 185
  • Chapter 12
  • Competing on Code: A Call to Action from the Future
  • 187
  • 9
  • AI for Pragmatists
  • 188
  • Digital Build-Gut Is Here
  • 189
  • Align the Three M's
  • 190
  • Move AHEAD
  • 191
  • Courage and faith in the Future
  • 192
  • Chapter 2
  • From Stall to Boom: We've Been Here Before
  • 13
  • When Machines Do Everything, What Happens to Us?
  • 14
  • Chapter 1
  • But Haven't Our Computers Made Us More Productive?
  • 15
  • Carlota's Way
  • 16
  • Riding the Waves
  • 17
  • Three Big Reasons Why a Boom Is About to Occur
  • 21
  • Prom Stall to Boom, a Time of Optimism
  • 31
  • When Machines Do Everything
  • Chapter 3
  • There Will Be Blood
  • 33
  • Predictions of Massive fob Losses via AI
  • 33
  • Manual vs. Knowledge Labor: As Goes the Factory, So Goes the Office?
  • 36
  • Don't Confuse fobs with Tasks
  • 38
  • Don't Overlook the Job-Growth Story
  • 1
  • 40
  • Pace of This Transition
  • 42
  • Getting AHEAD in a Time of Chum
  • 43
  • Chapter 4
  • New Machine: Systems of Intelligence
  • 45
  • Defining the New Machine
  • 46
  • Like It or Not, This Is Happening
  • Meet the Machine: Anatomy of a System of Intelligence
  • 50
  • Systems of Intelligence in Action
  • 56
  • What Does "Good" Look Like? Attributes of a Successful System of Intelligence
  • 59
  • From Vapor to Value
  • 63
  • Chapter 5
  • Your New Raw Materials: Data Is Better Than Oil
  • 3
  • 65
  • Turning Data from a Liability into an Asset
  • 66
  • Managing the Data Supply Chain
  • 68
  • Business Analytics: Turning Data into Meaning
  • 70
  • If It Costs More than $5, and You Can't Eat It, Instrument It!
  • 71
  • Die Home-Field Advantage of Big Companies
  • Digital That Matters
  • 73
  • Data Is Job One
  • 76
  • Chapter 6
  • Digital Business Models: Your Five Ways to Beat Silicon Valley
  • 77
  • Hybrid Is the New Black
  • 81
  • Avoiding the Four Traps
  • 82
  • 4
  • Five Ways to Mine Gold from the New Machines
  • 90
  • Management Opportunity of a Generation
  • 92
  • Chapter 7
  • Automate: The Robots Aren't Coming; They're Here
  • 95
  • Automation Is Not Optional
  • 96
  • Software Should Be Eating Your Core Operations
  • Playing the New Game
  • 102
  • What to Do on Monday? Flick Your Automation-On Switch
  • 107
  • Automation Is a Means, Not an End
  • 113
  • Chapter 8
  • Halo: Instrument Everything, Change the Game
  • 115
  • Every "Thing" Is Now a Code Generator
  • 116
Control code
on1031484923
Dimensions
unknown
Extent
1 online resource (1 volume)
Form of item
online
Isbn
9781119278689
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Sound
unknown sound
Specific material designation
remote
Stock number
CL0500000957
System control number
  • (Sirsi) on1031484923
  • (OCoLC)1031484923
Label
What to do when machines do everything : how to get ahead in a world of AI, algorithms, bots, and big data, Malcolm Frank, Paul Roehrig, and Ben Pring, (electronic resource)
Link
https://mcpl.idm.oclc.org/login?url=http://proquestcombo.safaribooksonline.com/?uiCode=midcontpl&xmlId=9781119278665
Publication
Copyright
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 6
  • Become a "Know-It-All"
  • 120
  • What to Do on Monday? Capitalize on Code
  • 124
  • Digits over Widgets: The Next Age of Business and Technology
  • 132
  • Chapter 9
  • Enhance: Amplify Human Performance with the New Machine
  • 133
  • Stone Age, Bronze Age, Iron Age ... Digital Age
  • But Will I Be Automated Away?
  • 135
  • Enhanced jobs Will Be Protected Jobs
  • 136
  • Smart Robots Make Smarter Hands
  • 141
  • What to Do on Monday? Partner with Systems of Intelligence
  • 145
  • You + New Tools = Enhancement
  • 151
  • Chapter 10
  • 8
  • Abundance: Finding Your 10x Opportunities with the New Machine
  • 153
  • What to Do on Monday? Find Abundance in Your Organization
  • 157
  • Increasing Prosperity by Lowering Prices
  • 165
  • Chapter 11
  • Discovery: Manage Innovation for the Digital Economy
  • 167
  • R&D Without AI Is No R&D at All
  • Getting AHEAD in the Age of the New Machine
  • 171
  • Discovery Is Hard, but Not as Hard as Being Irrelevant
  • 176
  • What to Do on Monday? Don't Short Human Imagination
  • 176
  • Create Your Own Budding Effect
  • 185
  • Chapter 12
  • Competing on Code: A Call to Action from the Future
  • 187
  • 9
  • AI for Pragmatists
  • 188
  • Digital Build-Gut Is Here
  • 189
  • Align the Three M's
  • 190
  • Move AHEAD
  • 191
  • Courage and faith in the Future
  • 192
  • Chapter 2
  • From Stall to Boom: We've Been Here Before
  • 13
  • When Machines Do Everything, What Happens to Us?
  • 14
  • Chapter 1
  • But Haven't Our Computers Made Us More Productive?
  • 15
  • Carlota's Way
  • 16
  • Riding the Waves
  • 17
  • Three Big Reasons Why a Boom Is About to Occur
  • 21
  • Prom Stall to Boom, a Time of Optimism
  • 31
  • When Machines Do Everything
  • Chapter 3
  • There Will Be Blood
  • 33
  • Predictions of Massive fob Losses via AI
  • 33
  • Manual vs. Knowledge Labor: As Goes the Factory, So Goes the Office?
  • 36
  • Don't Confuse fobs with Tasks
  • 38
  • Don't Overlook the Job-Growth Story
  • 1
  • 40
  • Pace of This Transition
  • 42
  • Getting AHEAD in a Time of Chum
  • 43
  • Chapter 4
  • New Machine: Systems of Intelligence
  • 45
  • Defining the New Machine
  • 46
  • Like It or Not, This Is Happening
  • Meet the Machine: Anatomy of a System of Intelligence
  • 50
  • Systems of Intelligence in Action
  • 56
  • What Does "Good" Look Like? Attributes of a Successful System of Intelligence
  • 59
  • From Vapor to Value
  • 63
  • Chapter 5
  • Your New Raw Materials: Data Is Better Than Oil
  • 3
  • 65
  • Turning Data from a Liability into an Asset
  • 66
  • Managing the Data Supply Chain
  • 68
  • Business Analytics: Turning Data into Meaning
  • 70
  • If It Costs More than $5, and You Can't Eat It, Instrument It!
  • 71
  • Die Home-Field Advantage of Big Companies
  • Digital That Matters
  • 73
  • Data Is Job One
  • 76
  • Chapter 6
  • Digital Business Models: Your Five Ways to Beat Silicon Valley
  • 77
  • Hybrid Is the New Black
  • 81
  • Avoiding the Four Traps
  • 82
  • 4
  • Five Ways to Mine Gold from the New Machines
  • 90
  • Management Opportunity of a Generation
  • 92
  • Chapter 7
  • Automate: The Robots Aren't Coming; They're Here
  • 95
  • Automation Is Not Optional
  • 96
  • Software Should Be Eating Your Core Operations
  • Playing the New Game
  • 102
  • What to Do on Monday? Flick Your Automation-On Switch
  • 107
  • Automation Is a Means, Not an End
  • 113
  • Chapter 8
  • Halo: Instrument Everything, Change the Game
  • 115
  • Every "Thing" Is Now a Code Generator
  • 116
Control code
on1031484923
Dimensions
unknown
Extent
1 online resource (1 volume)
Form of item
online
Isbn
9781119278689
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Sound
unknown sound
Specific material designation
remote
Stock number
CL0500000957
System control number
  • (Sirsi) on1031484923
  • (OCoLC)1031484923

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