Machine Learning Paired with Skilled Data Scientists is the Future of Data-Driven Decision Making

Although the term Machine Learning (ML) was coined in 1959, it’s advancement and development has never been more critical than it is today, particularly within government agencies. As the amount of data being produced, manipulated, and stored exponentially increases, so does the very real threat of cyber-security breaches and fraud. Meanwhile, federal budgets and staff resources continue to decrease. ML can provide high-value services for federal agencies including data management and analytics, security threat detection, and process improvement—but the list does not stop there.

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