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July 28, 2020 | Overview
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
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