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My Dad’s favorite advice to me growing up was “Be a Gentleman and a Scholar.” If I didn’t hear that daily, I heard it at least once a week. During the 22 years of my kindergarten-through-college student life, it was a very quick way of saying:
After diving deeper into the Cognitive Collector persona and components from our Cognitive Computing Platform suite, let's transition into the Cognitive Scholar persona and components. The Scholar was inspired by an insatiable quest for knowledge inherent within the best, life-long students. Its role within our Cognitive Platform is to read and “study” all unstructured content (data) that has been collected by our Collector components.
Before we get into the details of the specific AI and Machine Learning (ML) techniques leveraged by the Scholar for reading and studying content, let’s take a look at the process flow and scalability we’d expect out of this persona. The needs of the most studious Scholars are quite simple – reliable access to a near-infinite amount of content to study, and then the capacity to read, understand, and otherwise “process” the content. In leveraging these simple needs as our essential, non-functional requirements inspiration, we can see how the architecture and AWS cloud-optimization takes shape:
Of course, not all Scholar processing is considered equal. Even though we have access to content (Collector’s data lake) and processing capacity (AWS ECS) covered, the extent to which each Scholar container conducts processing can vary widely. Imagine pitting Will from Good Will Hunting to process the content vs. a 3.8 GPA sophomore high school student. There would be quite the disparity in their respective areas of success. Following this inspiration leads us to not only the AI and ML techniques that are leveraged for Scholar processing, but the pre-processing techniques that are utilized to enable AI/ML success.
Examples of Scholar processing include:
Compartmentalizing each of these difficult techniques allows the Scholar containers to focus on (and improve in) their area of expertise, and not get overwhelmed at the totality of the overall problem set of reading/studying vast amounts of content. As we close with a fun parallel back over to Will in “Good Will Hunting,” there are excellent examples throughout the movie that put his nearly unprecedented Scholarly capabilities on display. However, anyone that has seen the movie knows that his capabilities need the proper guidance and influence around him to reach a new level of rewarding potential. Similarly, our Scholar persona and components need additional guidance from the Cognitive Platform’s Inventor and CEO. Join me next time as we dive deeper into the next component persona of our Cognitive Platform – The Inventor!