The Analytics Edge for National Security (Jordan Levine) - Disruptive Thinkers #2 - a podcast by DEF Community

from 2020-10-18T15:07:10

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Jordan Levine, a Partner at Dynamic Ideas, discusses analytics for national security at a DEF Washington DC event. In addition to his depth of knowledge, Jordan developed an analytics training product that is being piloted under an AFWERX SBIR contract for the entire DoD. Here's a description of that course:


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You can't look an algorithm in the eye. Because you can't look an algorithm in the eye, leaders must know how to inspect and audit algorithms. We have developed our course with three areas of focus: 



  1. Learn from real case studies - We demonstrate the state of the art of analytics capabilities to your organization by investigating actual implemented use cases. 

  2. Rely on a proven framework for analytics success - We equip you to translate these proven implementations to your own day jobs by reinforcing a common accessible framework. 

  3. Present strategies for avoiding common pitfalls


We enable you to identify and mitigate the common failure modes encountered by organizations in the implementation of these techniques. Ultimately, we equip you with the skills to successfully run and manage an analytics endeavor. No coding required. Anyone in the National Security sector who wants to understand algorithms and how to inspect and audit them to understand at a deeper level what they can provide especially as it relates to analytics. 


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Jordan Levine is a partner at Dynamic Ideas, an organization committed to spreading powerful ideas in the areas of analytics, operations research, and their applications. He focuses his energy on creating digitally accessible training and education products that make analytics accessible to leaders. After serving as a communications officer in the United States Marine Corps, Jordan spent seven years at McKinsey & Company. 


The latter half of his time, he served as the global learning and development lead for analytics. There, he architected a strategy and oversaw a learning team that engaged ~4,000 McKinsey colleagues per year at the executive, manager, and technical talent levels. Key milestones included the creation of a cohort of 1,000+ ‘Analytics Translators’ and the development of novel approaches to on-board and integrate analytics technical talent as well as assess their technical competence in a business environment. 


Prior to leading analytics learning, he was an engagement manager in the operations practice with a focus in supply chain management. Jordan holds a master’s in engineering from the Massachusetts Institute of Technology (MIT) and mathematics degree from the United States Naval Academy.

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