Tuesday, May 05, 2020

Project Management and Artificial Intelligence

I am posting this as a supplement to several talks I'm giving on "Project Management and Artificial Intelligence"

I suggest you look at this previous blog post where I provided lots of information on AI and Project Management.


About AI:
Examples of AI:
  • Chatbots
  • Virtual Assistants: Alexa, Google Assistant, Siri, Cortana
  • RPA
  • Robots (e.g. Boston Dynamics and DARPA Robotics Challenge) and Cobots
  • Recommendation Engines: Amazon, Netflix, etc.
  • Gaming (Go, Chess, Jeopardy, video games)
  • Speech recognition and speech synthesis
  • NLP – analyzing documents/ Knowledge Base
  • Autonomous vehicles and semi-autonomous
  • Expert systems / Decision support systems
  • Medical diagnosis (oncology, radiology)
  • Visual recognition (including Facial recognition)
  • Spam filtering
  • Fraud detection
  • Digital Workers - e.g. ipsoft
  • Emerj.com : Everyday Examples of Artificial Intelligence and Machine Learning
Fields of AI:
Subfields of AI:

Types of AI
  •  Forbes (June 2019) : 7 Types Of Artificial Intelligence
    •  AI Classification
      • Classification based on likeness to Human Mind
        • Reactive machines – no memory. e,g, big blue that mastered chess
        • Limited memory - chatbots, self-driving cars, VAs
        • Theory of Mind -  understands needs, emotions, beliefs
        • Self-Aware - human-like intelligence and self-awareness
      • Technical Classification
        • Artificial Narrow Intelligence (ANI) aka Weak AI or Narrow AI: this is AI specialized in it's application area (e.g. what is available now)
        • Artificial General Intelligence (AGI) aka Stong AI: self-learning in general areas like a human - "Technical Singularity"
        • Artificial Superintelligence (ASI) – more than human
    • Medium:  Types of Machine Learning Algorithms You Should Know
      • Supervised Learning - Human does the teaching (labeled training)
      • Unsupervised learning - learns on it's own to mine data for rules, patterns and groupings
      • semi-supervised learning - lies between the two above: Human provides some training and the system extrapolates from there.
      • reinforcement learning - Human provides a "reinforcement signal" (a "goal") and the AI "agent" interacts with the environment to see which experiences optimize the reinforcement. This is used for Gaming (Go, Chess), and autonomous vehicles.
    • KDnuggets: AI Knowledge Map: How To Classify AI Technologies

About CAPTCHA
Testing AI:
  • Hold-Out (aka "Blind data") test set Vs. Cross-Validation - Medium
  • K-Fold Cross Validation - Wikipedia
Project Management and AI


Will AI take away my PM job?

I suggest you look at this previous blog post where I provided lots of information on AI and Project Management. 

What comments or additions do you have on this information?



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