Jada Jones

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Jada is a graduate of the University of North Carolina at Greensboro with a Masters in Library and Information Science. She began her non-traditional librarian career at the FDA working on a STEAM outreach program for high school students. She currently works in public affairs and analytics. She has a background in archives, records management, and data management and has worked in education, outreach, and project management. She recently earned both a Graduate Certificate in Project Management and her PMP certification. Jada is also active in blogging and owns a small book-subscription box start-up. She has lived in rural China and loves to travel internationally. You can find her on LinkedIn.

Trends on Tuesday: Because Seeing is Believing—Augmented Reality in the Federal Government

Connect with other feds working with emerging technologies via the Emerging Citizen Technology Office; learn from and contribute to its Emerging Citizen Technology Atlas and join their related Communities of Practice. It is no secret that some agencies within the federal government can be behind the times when it comes to cutting-edge technology implementation. But this appears to be changing as federal agencies begin implementing futuristic technologies such as Machine Learning, Blockchain, and Virtual and Augmented Reality.

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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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