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Understanding AI And Machine Learning Concepts To Build Your AI Leadership Brain Trust.

AI And Machine Learning Concepts

This blog discusses key and () terms that every board director and CEO must know to stay relevant and advance their duty of care.

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SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningThis blog is a continuation of the Building Leadership Brain Trust Blog Series which targets board directors and CEO’s to accelerate their duty of care to develop stronger skills and competencies in in order to ensure their programs achieve sustaining results.

My last two blogs focused on the importance of professionals having some foundation in science discipline as a cornerstone for designing and developing models and production processes, and explored value of computing science, the richness of complexity sciences and the value of physics to appreciate the importance of integrating diverse disciplines into complex programs – key for successful returns on investments (ROI).

c If you want a good starter on the responsibility and duty of care, I recommend you read my earlier blog here.

In the Brain Trust Series, I have identified over 50 skills required to help evolve talent in organizations committed to advancing literacy. The last few blogs have been discussing the technical skills relevancy. To see the full Brain Trust Framework introduced in the first blog, reference here. We are currently focused on the technical skills in the Brain Trust Framework advancing the key and terms.

  1. Research Methods Literacy
  2. Agile Methods Literacy
  3. User Centered Design Literacy
  4. Data Analytics Literacy
  5. Digital Literacy (, SaaS, Computers, etc.)
  6. Mathematics Literacy
  7. Statistics Literacy
  8. Sciences (Computing Science, Complexity Science, Physics) Literacy
  9. Artificial Intelligence () and Machine Learning () Literacy
  10. Sustainability Literacy

Understanding Key Terms

The field is a deep and rich field that includes many fields, including , computational intelligence, and traditional symbolic . Many tools are used in , including versions of search and mathematical optimization, artificial neural networks, and methods based on statistics, probability and economics.

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