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It is generally accepted that cognitive computing is a branch of artificial intelligence developed to think like and work alongside humans. With the increase of computing power has come a massive wave of new information that is impossible to quickly process manually. Cognitive computing is able to disseminate this data with the purpose of assisting humans in decision-making. It is able to weigh complex, conflicting, and changing information contextually to offer a best-fit solution—not necessarily the most algorithmically correct one.


11:00am ET: Opening Remarks
Seth Adler, IQPC Digital

11:00am ET: Exploring The Big Four Characteristics Of Cognitive Automation 
  • Adaptive: Enabling learning in a dynamic information environment
  • Interactive: Teaching automation the desired outcome
  • Iterative: Automation learning the desired outcome
  • Contextual: Automation understanding the context of the desired outcome

12:00pm ET: Mastering The Recipe In Your Cognitive Computing Cauldron 
  • NLP: Have you employed or at least tested Natural Language Processing in each conceivable and appropriate environment
  • ML: Has your rules-based automation gained and/or communicated any learning back through the enterprise
  • Deep learning: How structured has the outcome of the unsupervised learning from unstructured data become?
  • Artificial neural networks: Is your artificial intelligence at all within your enterprise or is it all outsourced?


Unpacking key distinctions between cognitive computing and AI
  • Cognitive automation augments human judgment
  • Artificial intelligence provides additional machine resource
  • AI is book smart whereas cognitive computing is street smart

Realizing the cognitive era of computing at your enterprise
  • Debt: Recognizing the fact that true technical debt is being amassed at present
  • Talent: Do you have internal talent testing complex technology or have you outsourced everything?
  • Value: Ensuring that the true value of cognitive computing lives within your human enterprise