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- The Knowledge Temple

| Presenter: Neil Fitzpatrick | 2 Comments

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Developing a knowledge management framework for any organization presents a number of challenges and questions. Where do I start? What is the ultimate goal? Is this effort top-down, bottom-up, or middle-out? How many systems do we have and how many do the same thing? When faced with such a task, knowledge managers could be quickly overwhelmed if there is no logical structure and process in place. Numerous pathways and pitfalls could easily derail the effort. However, if the knowledge manager has a reference model that incorporates data, information, knowledge management, and the organization’s myriad systems to serve as a mental model for decision making, chances of success are much higher. In this webinar, Neil Fitzpatrick, Senior Knowledge Manager at Quanterion Solutions Inc., uses the analogy of the construction of a Greek temple to identify the components and processes involved in the development of an efficient and effective organizational data to decision model.

Read the companion CSIAC report: https://www.csiac.org/csiac-report/knowledge-temple-of-decision-making/

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Presenter

Neil Fitzpatrick
Neil Fitzpatrick
Neil Fitzpatrick is a Senior Knowledge Manager for Quanterion Solutions Inc. (QSI) in Eastern North Carolina. He retired from the Marine Corps in 2015 and immediately began working with QSI. He currently supports all four knowledge areas within the Cyber Security Information Systems Information Analysis Center (CSIAC): Cyber Security, Modeling & Simulation, Knowledge Management, and Software Engineering. Neil has a bachelor's degree in Environmental & Architectural Design from Texas A & M University (1990). He worked in healthcare facility planning for Deloitte and Touche, as well as for an architectural firm prior to joining the Marines. Upon his enlistment, Neil became a Spanish Linguist and worked in signal intelligence for a few years before becoming an officer (1997). After graduation from the communication and information system operations course in Quantico, VA (1998) he served in various communication billets throughout the Marine Air Wing and supporting establishment at Cherry Point and Camp Lejeune, North Carolina. During this time, he completed a master’s degree in Computer Information Systems from the University of Phoenix (2003) and deployed to Bogota, Colombia and Guantanamo Bay, Cuba. Neil continued his education after being offered a post at the U.S. Naval Postgraduate School in Monterey, CA to study Modeling and Simulation where he earned another master's degree in 2007. Neil served as the Modeling and Simulation officer at the Marine Corps Air Ground Combat Center in 29 Palms, CA from 2007-2010 training thousands of Marines in pre-deployment training cycles and in Iraq. In 2010 he returned to Camp Lejeune, NC as the IT officer for the II Marine Expeditionary Force – Forward where he deployed to Afghanistan (2011). During this deployment he was responsible for project and contract management of networks that covered three bases and tens of thousands of service members. He continued to serve in II MEF after the deployment as the (G-6) communication officer where he led military members from all branches, as well as civilians. He managed training, organized equipment, and supported II MEF missions world-wide. Since retirement in 2015 and as part of the QSI team, Neil has managed software development efforts, identified and documented requirements, drafted knowledge management policies and change management plans, analyzed hundreds of organizational processes, and interacted with key leaders to support the data to decision cycle. He holds industry certificates in ITIL v3, Project Management, Lean Six Sigma, and Knowledge Management.

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  1. A question that came in that we did not have time to address was, ‘how is Artificial Intelligence and Machine Learning affecting knowledge management?’ Short answer: In a big way. AI & ML are having a large effect regarding when humans actually enter the decision making cycle. If you recall the slide on the Dynamic Model of Situated Cognition from the presentation, I failed to mention the red box. The red box indicates the area where AI & ML are having the greatest impact on decision making. Historically, people would be needed to run sensors, aggregate data, package it and present it. Now though, AI & ML are doing more of this work. They have the ability to manage and even change sensor captures based on conditional logic. AI & ML are more present at all levels even toward decision making itself. The classic example is the decision making abilities of the modern automobiles. If information produced by multiple sensors indicate that your speed is too great and your following distance too short, your car will decide to apply the brakes for you. This same logic is starting to be employed regarding the development of courses of action within a military mission context. Fascinating stuff!

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