Page 120 - Cyber Defense eMagazine February 2024

any perishable good, data has a shelf life. Processing the right data unlocks endless possibilities, as AI
plays a pivotal role in data management by enhancing efficiency and accuracy in categorization
processes. Machine learning algorithms, learning from patterns, automatically tag and categorize data
based on predefined criteria, accelerating the categorization process while ensuring consistency and
accuracy, thus mitigating the risk of both human and machine learning errors (apart from the enormous
time saved in contrast to manual review and automation of a repetitive task). This underscores the critical
connection between technological advancements, data management, and national security imperatives.

Continuously revisiting the data lifecycle and its management, particularly with the integration of AI, is
crucial. Implementing a structured approach to managing data, from creation to disposal, ensures the
utilization of AI in enhancing efficiency and accuracy. Protocols for data retention periods, archival
processes, and secure disposal methods must be defined to minimize risks associated with retaining
unnecessary or outdated data.

About the Author

Dr. Pragyansmita Nayak is the Chief Data Scientist at Hitachi Vantara
Federal (HVF). She explores the "Art to the Science" of solution
architectures orchestrating data, APIs, algorithms, and applications. She
has over 25+ years of experience in software development and data
science (Analytics, Machine Learning and Deep Learning). She has led
projects for several Federal Government agencies (DoD/Civilian) in the
domain of Federal Accounting, Operational Analytics, Data Fabric, Object
Storage, Metadata management, Records Management and Data
Governance. She holds a Ph.D. in Computational Sciences and
Informatics from GMU (Fairfax, VA) and Bachelor of Science in Computer
Science. For more information on Pragyan's professional experience,
please visit her LinkedIn and Twitter profiles.

Cyber Defense eMagazine – February 2024 Edition 120
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