Keynote
Friday, March 22
09:30 AM - 10:00 AM
Live in Everett
Less Details
LM has embarked on the most ambitious transformation initiative in its history, with the objective of fundamentally changing how LM operates as a business and leveraging key technologies as strategic assets. A core component of this transformation is the Model-Based Enterprise, and the architectures and capabilities that have evolved to deliver enterprise digital threads across the design-buy-build-sustain lifecycle. The Enterprise Digital Backbone is the foundation upon which these enterprise threads will be instantiated, operated and persisted, achieving major business value by enabling earlier, more frequent, and significantly less rework of engineering artifacts and models via multiple types of digital twins.
Enterprise threads have four dimensions, and we will explore these dimensions through the lens of real world use cases and the solutions that implement them. These threads and their corresponding dimensions will fundamentally change the contemporary “Shop Floor to Top Floor” model with full vertical and horizontal integration to deliver greater visibility and actionable intelligence into capacity, scheduling, forecasting, testing, quality and sustainment functions.
Michael Muckin is an LM Fellow at Lockheed Martin’s Corporate Information Security Architecture group. In this role, Muckin leads the strategic implementation of Cyber Threat Methodologies development and integration within LM cyber teams. Over his 25 year career, he has held numerous roles including penetration tester, vulnerability researcher, network engineer, software developer and security architect. Prior to LM, he worked as an independent consultant for multiple Fortune companies, at Microsoft Consulting Services as a security specialist and as a Managing Principal consultant at Foundstone. He served six years in the US Marine Corps as a communications and intelligence specialist. He is a two-time speaker at BlackHat and has authored several IT security publications.