Human vs. Machine - ServiceNow...The Global CIO Point of View 67% 33% 17% 41% 33% 35% 15% Human vs....
1
The Global CIO Point of View 67% 33% 17% 41% 33% 35% 15% Human vs. Machine Humans will increasingly work side-by-side with intelligent machines, improving the speed, accuracy, and growth of businesses. Chief Information Officers are central to this transformation. We surveyed 500 CIOs across 11 countries and 25 industries to uncover how organizations are adopting machine learning, how automation is changing work, and how first movers are gaining a competitive edge. An elite group of CIOs that comprise 10 % of the survey sample are ahead of peers in leading transformative change in their organizations. We call them “first movers.” Learn more at servicenow.com/cio. FIRST MOVERS EVERYONE ELSE Expect decision automation to support top-line growth Say automating routine processes will be important to the success of the organization over next three years Developed policies for ensuring the accuracy of data Developed methods of monitoring mistakes made by machines Developed a roadmap for future business process changes Redefined job descriptions to focus on work with machines Set plans for workforce size and role changes
Transcript of Human vs. Machine - ServiceNow...The Global CIO Point of View 67% 33% 17% 41% 33% 35% 15% Human vs....
The Global CIO Point of View
67%
33%
17%
41%
33%
35%
15%
Human vs. Machine
Humans will increasingly work side-by-side with intelligent machines, improving the speed, accuracy, and growth of businesses.
Chief Information O�cers are central to this transformation.
We surveyed 500 CIOs across 11 countries and 25 industries to uncover how organizations are adopting machine learning, how
automation is changing work, and how first movers are gaining a competitive edge.
An elite group of CIOs that comprise10%of the survey sample are ahead of peers in leading transformative change in their organizations. We call them “first movers.”
Learn more at servicenow.com/cio.
FIRST MOVERS EVERYONE ELSE
Expect decision automation tosupport top-line growth
Say automating routine processes willbe important to the success of theorganization over next three years
Developed policies for ensuring the accuracy of data
Developed methods of monitoringmistakes made by machines
Developed a roadmap for futurebusiness process changes
Redefined job descriptions to focus on work with machines
Set plans for workforce size and role changes
