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1
How AI Can Help People
Be More Productive at
Work
AI in the Workplace
2
A Brief History of AI
3
Dartmouth
Workshop 1956
4
every aspect of learning or any other feature of intelligence can in principle
be so precisely d...
"machines will be capable, within
twenty years, of doing any work
a man can do.”
Herbert Simon (1965)
“In from three to ei...
An AI Timeline
6
1950 1960 1970 1980 1990 2010 20202000
Birth of AI
• Information Theory – digital signals
• Cybernetics –...
7
Where Are We Today?
Natural Language Processing (NLP)
Machine Learning
Results
Key Elements of Contemporary AI
AI Achievements
are Impressive
9
But, AI Has Not Achieved the Original Vision
10
The Goals of AI Have Evolved
11
Emulate humans Assist / replace humans for
dedicated applications
So Today, AI Is Effective When….
12
All relevant data is
available to consider
The desired outcome
is predictable
The rule...
AI in Collaboration
Platform Vendors Embrace AI Bots
13
Example/Pizza Ordering Bot
14
• Pizza size – M, L, XL
• Pizza toppings
- Onions
- Peppers
- Tomatoes
- ….
• Delivery addre...
A Modern Approach to AI
15
Artificial Intelligence (AI)
To build human-like capabilities into
autonomous technological sys...
16
Artificial Intelligence vs. Intelligence Augmentation
AI Puts Technology at the Core IA Puts Humanity at the Core
17
Example:
Email-based Topic Computing
Information Delivered the Way the Brain
Works
18
Many Disconnected
Cloud Apps
• Singular proper nouns (NNP) becomes topic candidates, excluding dates, numbers,
locations and people’s names
• First wor...
• How often does a topic appear in different sources (i.e. apps)?
• How many times does a topic appear in a given app?
• W...
21
People and technology work best,
when they work together
22
Thank You
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Ai and productivity

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Artificial intelligence is purported to improve workplace productivity. But does it really? This presentation takes a hard look at where AI is today and which aspects can truly help today's Digital Workplace improve productivity.

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Ai and productivity

  1. 1. 1 How AI Can Help People Be More Productive at Work
  2. 2. AI in the Workplace 2
  3. 3. A Brief History of AI 3
  4. 4. Dartmouth Workshop 1956 4 every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it .
  5. 5. "machines will be capable, within twenty years, of doing any work a man can do.” Herbert Simon (1965) “In from three to eight years we will have a machine with the general intelligence of an average human being.” Marvin Minsky (1970) 5
  6. 6. An AI Timeline 6 1950 1960 1970 1980 1990 2010 20202000 Birth of AI • Information Theory – digital signals • Cybernetics – thinking machines • The Turing Test • Symbolic reasoning • Limited computer processing power • Limited database capacity • Limited networking capabilities • Real-world problems are complicated - Image processing / face recognition - Combinatorial explosion AI Winter • Expert Systems (knowledge) • Neural networks make a comeback • Optical character recognition • Speech recognition • Disappointing results • Collapse of dedicated hardware vendors • Machine learning • Deep learning – pattern analysis / classification - Big data: large databases - Fast processors to crunch data - High-speed networks Focus on Specific ‘Intelligence’ Focus on Specific Problems AI Winter II
  7. 7. 7 Where Are We Today?
  8. 8. Natural Language Processing (NLP) Machine Learning Results Key Elements of Contemporary AI
  9. 9. AI Achievements are Impressive 9
  10. 10. But, AI Has Not Achieved the Original Vision 10
  11. 11. The Goals of AI Have Evolved 11 Emulate humans Assist / replace humans for dedicated applications
  12. 12. So Today, AI Is Effective When…. 12 All relevant data is available to consider The desired outcome is predictable The rules are clear
  13. 13. AI in Collaboration Platform Vendors Embrace AI Bots 13
  14. 14. Example/Pizza Ordering Bot 14 • Pizza size – M, L, XL • Pizza toppings - Onions - Peppers - Tomatoes - …. • Delivery address • Delivery time • Method of payment
  15. 15. A Modern Approach to AI 15 Artificial Intelligence (AI) To build human-like capabilities into autonomous technological systems such as a computer or robot Douglas Engelbart, 1962 Intelligence Augmentation (IA) To increasing the capability of a person to approach a complex problem situation, to gain comprehension to suit their particular needs, and to derive solutions to problems.” Douglas Engelbart, 1962
  16. 16. 16 Artificial Intelligence vs. Intelligence Augmentation AI Puts Technology at the Core IA Puts Humanity at the Core
  17. 17. 17 Example: Email-based Topic Computing Information Delivered the Way the Brain Works
  18. 18. 18 Many Disconnected Cloud Apps
  19. 19. • Singular proper nouns (NNP) becomes topic candidates, excluding dates, numbers, locations and people’s names • First word algorithm (matched against common dictionary) • Capitalized nouns are included Natural Language Processing (NLP) Example Part of Speech
  20. 20. • How often does a topic appear in different sources (i.e. apps)? • How many times does a topic appear in a given app? • When was the last time the topic appeared? • How often does the topic appear for my colleagues? • How much have my colleagues interacted with a specific topic? Machine Learning Example
  21. 21. 21 People and technology work best, when they work together
  22. 22. 22 Thank You

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