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Artificial
intelligence
HBR webinar “Is Your Company Ready for AI?” with Nick Harrison and Deborah O’Neill from Oliver Wyman.
December 4th, 2017.
Artificial intelligence (AI) makes it possible for machines to learn from
experience, adjust to new inputs and perform human-like tasks.
Most AI examples that you hear about today, for example self driving
cars, rely heavily on deep learning and natural language processing.
Using these technologies, computers can be trained to accomplish
specific tasks by processing large amounts of data and recognizing
patterns in the data.
https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html
Of the 6 drawings, which I made, a neural network correctly guessed 2, the drawing of a cell phone
and the drawing of a sailboat. https://quickdraw.withgoogle.com/shared/jYny6euEkAQO It made
me happy because I thought I was not so good at drawing.
Other AI experiments:
https://experiments.withgoogle.com/ai
Artificial intelligence (AI) achieves incredible accuracy. For
example, your interactions with Google Search keep getting
more accurate the more we use them.
AI techniques from deep learning, image classification and
object recognition can now be used to find cancer on
magnetic resonance imagining (MRIs) with the same
accuracy as highly trained radiologists.
https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html
Artificial intelligence (AI) is a collection of methods and ideas for building
software that can do some of the things that humans can do with their
brains.
AI is an old field, and few ideas are truly new. The current advances in deep
learning have their roots in neural network research from the 1980s and
1990s, and that research in turn was based on ideas and experiments from
all the way back in the 1940s.
http://togelius.blogspot.com/2017/07/some-advice-for-journalists-writing.html
HBR webinar “Is Your Company Ready for AI?” with Nick Harrison and Deborah O’Neill from Oliver Wyman.
December 4th, 2017.
https://www.mckinsey.com/industries/advanced-electronics/our-insights/artificial-intelligence-the-time-to-act-is-now
Current artificial intelligence adoption at healthcare industrials is low
HBR webinar “Is Your Company Ready for AI?” with Nick Harrison and Deborah O’Neill from Oliver Wyman.
December 4th, 2017.

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Artificial intelligence

  • 2. HBR webinar “Is Your Company Ready for AI?” with Nick Harrison and Deborah O’Neill from Oliver Wyman. December 4th, 2017.
  • 3. Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today, for example self driving cars, rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html
  • 4. Of the 6 drawings, which I made, a neural network correctly guessed 2, the drawing of a cell phone and the drawing of a sailboat. https://quickdraw.withgoogle.com/shared/jYny6euEkAQO It made me happy because I thought I was not so good at drawing.
  • 6. Artificial intelligence (AI) achieves incredible accuracy. For example, your interactions with Google Search keep getting more accurate the more we use them. AI techniques from deep learning, image classification and object recognition can now be used to find cancer on magnetic resonance imagining (MRIs) with the same accuracy as highly trained radiologists. https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html
  • 7. Artificial intelligence (AI) is a collection of methods and ideas for building software that can do some of the things that humans can do with their brains. AI is an old field, and few ideas are truly new. The current advances in deep learning have their roots in neural network research from the 1980s and 1990s, and that research in turn was based on ideas and experiments from all the way back in the 1940s. http://togelius.blogspot.com/2017/07/some-advice-for-journalists-writing.html
  • 8. HBR webinar “Is Your Company Ready for AI?” with Nick Harrison and Deborah O’Neill from Oliver Wyman. December 4th, 2017.
  • 10. HBR webinar “Is Your Company Ready for AI?” with Nick Harrison and Deborah O’Neill from Oliver Wyman. December 4th, 2017.