Aerospace and Defense: The First One to Real-Time Wins

In the aerospace and defense industry in the United States, a decade-long effort to compress the product development cycle combined with an unprecedented customer focus on cost, is forcing organizations to collapse the discovery-to-action time frame even further. This presentation discusses how the industry has responded by applying data science methods in a model-based environment, and the challenges it faces. The A&D company that collapses the time frame the quickest is likely to win in an increasingly competitive environment, as it is a throttle on an entire enterprise, and this presentation demonstrates both how and why.

The primary takeaways for attendees will be learning:

The different ways A&D is scaling for data science with technology, teams
The organizational run rules A&D is using for local data science teams
The organizational run rules A&D is using for enterprise data science teams
How A&D applies CRISP locally and enterprise-wide
The optimum balance between local and enterprise data science

How A&D is developing trust in its data
How A&D is securing data (in its data lakes)
Suggestions to outperform the competition

Response times were formerly measured in months and years, but insights are now required immediately to maintain ambitious development cycles and cost targets, even – and especially – with complex engineered systems. Making this transition has required not only acquiring new data science expertise, but changing the fundamental way data is captured, transformed, and consumed, at the sensor, individual, departmental, business unit, and enterprise level. This presentation focuses on these changing fundamentals for A&D as the industry alters the speed at which it does business.

As an IT Fellow and Chief Knowledge Architect for Raytheon Missile Systems, Kevin focuses on quick, efficient, large-scale information integration and knowledge sharing using semantic technology. Kevin has presented his work on BioBlitz with National Geographic and the National Park Service at South by Southwest Interactive and the Semantic Technology Conference. Prior to Raytheon, Kevin was the database architect and project manager of COPLINK, a National Institute of Justice-funded program that became a national model for law enforcement information analysis and sharing based on his dissertation work, which focused on data management in collaborative systems. Kevin received his PhD and Master's degrees in Management Information Systems from the University of Arizona. His publications have appeared in 1) IEEE Transactions on Systems, Man, and Cybernetics, 2) the International Journal of Man-Machine Studies, 3) IEEE Expert, and 4) Raytheon Technology Today.

Leslie Peoble is a senior multi-disciplined engineer II and has been with Raytheon for 10 years. Currently, she is supporting product line chief engineers to develop technology roadmaps that will be used to align priorities and investment across the programs. Leslie has worked multiple advanced program activities in areas like small space, non-kinetic effects, unmanned systems, and information assurance, gaining experience in strategic thinking, business case valuation, systems engineering and architecture from an entrepreneurial perspective. Leslie has participated in many strategic engineering initiatives, focusing on leadership care-abouts. Leslie began her career at Raytheon as a member of the Discrimination Product Center, working on discrimination algorithms using various data fusion techniques. Leslie holds a master’s of science degree in physics from Colorado State University and a bachelor’s of science in physics and astronomy from Northern Arizona University.