Reading Flashcards
Davenport and Kirby (2016) how smart are machines
Machines will recommend a course of action but it will be humans who make the final decision
As data flows more continuously and voluminously we need technologies that can help us make sense of it in real time
Slowly but surely the world of AI and robots seem to be converging
Davenport and Kirby (2016) the knowledge jobs likely to be automated
Some knowledge work jobs will simply succumb to the rise of robots
Williams grut (2016) robots will steal your job
Could cause mass unemployment and dislocated economies rather than simply unlocking productivity gains
Most jobs at risk are low skilled service jobs
Top 1% of earners are less susceptible to automation- inequality between technology the 1 percent and 99 percent may widen
Knight (2016)
Countless manufacturers in China are planning to transform their production processes using robotics
People will either go into automation or out of business
China is investing heavily in advanced manufacturing Guangdong plans to spend 150 billion equipping factories with industrial robots
Foxconn is automating a growing number of tasks
Lacity and Willocks 2016
Xchanging-plc
Automated their service processes which allowed 24 hour service
When software robots were combined with humans the teams were better performing
Easily scaled
Associated press used software robots to create reports on what reporters deemed dull and structured
Volume rose from 300 articles per quarter to 3,700
O2 since 2010 automated 35% of back office services processing between 400-500 thousand transactions a month- enables greater flexibility so for launch when demand was high they could be scaled