Automation of Knowledge Work
Technology Paper Presented by:
Joevic Pasit and Jan Vincent Sollesta
What is a Knowledge Worker?
one who works primarily with
information or none who
develops and uses knowledge in
the workpl...
Knowledge workers are:
workers whose main capital is knowledge.
•Software engineers
•Architects
•Scientists
•lawyers
They ...
• Also known as “gold collars”, because of high
salaries.
• Research shows that they are also more prone
to burnout.
So what is Automation of Knowledge
work?
It means computer will do knowledge
worker responsibilities such as:
•Analyzing data to establish relationship
•Assessing input in order to evaluate complex
conflicting priorities
•Making con...
Computers are getting better at mimicking
human reasoning and they are claiming work
once done by people in high paying
pr...
Trends in the Technology
– Automated knowledge work
• many workflow automated
• handcrafted knowledge-bases systems
• the ...
Trends in the Technology
– Remote and distribute work
• many knowledge work jobs done remotely
– Computer processing
• exp...
Trends in the Technology
– Flexible employment
• work increasingly at home or on the road
– Education and training
• Lifel...
SWOT Analysis
Strengths
• Shorten time elements to acquire knowledge
• Accurate information
• No human error
Weaknesses
• Risk in human manipulation
• Dependent on power source
• Initial high cost of ownership
• Tendency to be redu...
Opportunities
• Address scarcity of human knowledge
• Contribution to economic growth
• Improvement in specific industry p...
Threat
• Displace human resources on primary
functions
• Dependability on machines will reduce human
interactions and coll...
How it will help us?
• Medicine
• More accurate diagnosis because no chance of human
error.
• In depth understanding of disease and cause since...
• Law
• Identification of existing patents, contracts and
regulation.
• Education
• Consistency in learning process. Inexh...
Ethical Issues
United States economy is being “hollowed out.”
New jobs, he says, are coming at the bottom
of the economic ...
“There is no reason to think that technology
creates unemployment,”. “Over the long
run we find things for people to do. T...
What will it help to the nation?
“The economic impact will be huge,”
.“We’re at the beginning of a 10-year period
where we...
According to McKinsey, the potential economic
impact in 2025 across sized application of $5.2
trillion - $6.7 trillion.
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  1. 1. Automation of Knowledge Work Technology Paper Presented by: Joevic Pasit and Jan Vincent Sollesta
  2. 2. What is a Knowledge Worker? one who works primarily with information or none who develops and uses knowledge in the workplace” – Peter Drucker, 1959
  3. 3. Knowledge workers are: workers whose main capital is knowledge. •Software engineers •Architects •Scientists •lawyers They “THINK for a living”.
  4. 4. • Also known as “gold collars”, because of high salaries. • Research shows that they are also more prone to burnout.
  5. 5. So what is Automation of Knowledge work?
  6. 6. It means computer will do knowledge worker responsibilities such as:
  7. 7. •Analyzing data to establish relationship •Assessing input in order to evaluate complex conflicting priorities •Making connection •Understanding cause and effect •Ability to brainstorm •Product to new capability
  8. 8. Computers are getting better at mimicking human reasoning and they are claiming work once done by people in high paying professions. – The New York Times
  9. 9. Trends in the Technology – Automated knowledge work • many workflow automated • handcrafted knowledge-bases systems • the real and digital intimately linked – Information • widely accessible, much of it free • Structured and proprietary in narrow domains – Human knowledge work • nonstandard business communication
  10. 10. Trends in the Technology – Remote and distribute work • many knowledge work jobs done remotely – Computer processing • exponential increase in power, storage, networking – Computer interaction • natural, with cameras projectors, touch and gestures • emotional intelligence
  11. 11. Trends in the Technology – Flexible employment • work increasingly at home or on the road – Education and training • Lifelong learning w/on demand mentors • Intelligent tutoring widely available
  12. 12. SWOT Analysis Strengths • Shorten time elements to acquire knowledge • Accurate information • No human error
  13. 13. Weaknesses • Risk in human manipulation • Dependent on power source • Initial high cost of ownership • Tendency to be redundant
  14. 14. Opportunities • Address scarcity of human knowledge • Contribution to economic growth • Improvement in specific industry productivity
  15. 15. Threat • Displace human resources on primary functions • Dependability on machines will reduce human interactions and collaborations • Machine controlling human
  16. 16. How it will help us?
  17. 17. • Medicine • More accurate diagnosis because no chance of human error. • In depth understanding of disease and cause since information can be easily obtained. • Manufacturing • Faster product research and development • Knowledge work automation follow the evolution of factory automation - PARC
  18. 18. • Law • Identification of existing patents, contracts and regulation. • Education • Consistency in learning process. Inexhaustible mentors. • Finance • Investments and accounting in finance sector
  19. 19. Ethical Issues United States economy is being “hollowed out.” New jobs, he says, are coming at the bottom of the economic pyramid, jobs in the middle are being lost to automation and outsourcing, and now job growth at the top is slowing because of automation. – David Author
  20. 20. “There is no reason to think that technology creates unemployment,”. “Over the long run we find things for people to do. The harder question is, does changing technology always lead to better jobs? The answer is no.” - Autor
  21. 21. What will it help to the nation? “The economic impact will be huge,” .“We’re at the beginning of a 10-year period where we’re going to transition from computers that can’t understand language to a point where computers can understand quite a bit about language.” – Tom Mitchell
  22. 22. According to McKinsey, the potential economic impact in 2025 across sized application of $5.2 trillion - $6.7 trillion.

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