Date: 10/16/2024
Vendor: Hitachi Vantara Federal
Technology/Topic: Leveraging Data Analytics to Accelerate the OODA Loop for Enhanced Mission Outcomes in Adversarial Environments
URL: https://www.hitachivantarafederal.com
TEM Presentation Video (milTube)
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Welcome to the Technical Exchange Meeting (TEM)!
A successful DataOps-driven data-as-a-product environment relies on the people, processes, and technologies of an organization. All three must work together in harmony to develop, enable, and maintain a successful and continuously evolving Digital Transformation strategy that in turn, maximizes the Observe-Orient-Decide-Act (OODA) loop.
In the ever-evolving landscape of modern warfare and security challenges, the ability to effectively strengthen and maximize the OODA loop is paramount for mission success. This abstract explores how harnessing data analytics, including Generative AI, can accelerate the OODA loop and enable organizations to align, adapt, and accelerate mission outcomes against adversaries. By integrating advanced data analytics techniques such as machine learning, predictive modeling, and real-time data processing (including open source data OSINT), organizations can enhance their situational awareness, rapidly assess threats, and make informed decisions in dynamic environments. Moreover, leveraging data analytics enables proactive adaptation to changing circumstances, ensuring agility and resilience in the face of evolving threats.
This talk will cover the tangible benefits of incorporating data analytics into the decision-making processes of defense and security organizations such as DISA, ultimately leading to more effective mission execution and a competitive edge against adversaries. The user experience for decision making and situation awareness should be agile and intuitive in order to effectively connect the dots and have access to the single source of truth while remaining compliant with required security, access controls and regulations. When publicly available information, open source or otherwise, is included as part of the analytics lifecycle, the provenance and validity of the data is prime.
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