Agencies can provide a solid data foundation for their AI programs by optimizing data and creating a data governance model.
Posts Tagged: machine learning
GovLoop interviewed Elham Tabassi, Chief of Staff for the Information Technology Lab (ITL) at the National Institute of Standards and Technology (NIST).
With AI and ML, agencies are able to review data in bulk to actively monitor for the first signs of an attack and respond quickly.
It is important for cities to understand and adopt intelligent automation to advance their smart cities strategy, or risk falling behind.
AI and ML can rapidly detect gaps or abnormalities on agency networks, and respond with a programmed, precautionary or reactionary action immediately.
This month, the Defense Logistics Agency (DLA) released a foundational data and analytics document that will direct data governance, acquisition strategies and the incorporation of emerging technologies for the military’s combat logistics branch.
VA has embarked on a mission to modernization, which has been advanced by thinking outside of the box and outside of VA headquarters.
Rapid prototyping is a process that quickly develops, experiments with, and learns how software technologies might further prove that a concept is advantageous for a mission, business, or user. It is about accepting and embracing an uncertain world that rapidly evolves – and for software systems to rapidly evolve with it.
Smart investments today are key to achieving stable footing and maximizing cybersecurity for the future. As you consider the risks and opportunities ahead, artificial intelligence (AI) offers real potential to strengthen cybersecurity operations and defend computer networks.
Between policy, guidelines, past experience and data, getting the answer to simple questions is a significant drain on precious time and resources. Can AI help?