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Friday, December 15, 2017

AI and machine learning: Looking beyond the hype | - Comment

Photo: Erin Hawley
"In every federal agency, critical insights are hidden within the massive data sets collected over the years" reports Erin Hawley, DataRobot's vice president of public sector. 


But because of a shortage of data scientists in the federal government, extracting value from this data is time consuming, if it happens at all. Yet with advances in data science, artificial intelligence (AI) and machine learning, agencies now have access to advanced tools that will transform information analysis and agency operations.

From predicting terror threats to detecting tax fraud, a new class of enterprise-grade tools, called automated machine learning, have the power to transform the speed and accuracy of federal decision-making through predictive modeling. Technologies like these that enable AI are changing the way the federal government understands and makes decisions.

To use tools like automated machine learning to their full potential to accelerate and optimize data science in the federal government, it’s important to start by understanding the terms used and what they mean.

Data science — the art of analyzing data 
Data science is a broad term, referring to the science and art of using data to solve problems. Rooted in statistics, this practice blends math, coding and domain knowledge to answer specific questions from a certain data set. Advances in computing power have transformed this from calculator-based statistical modeling into predictive algorithms that transform historical analysis into forecasts about future behaviors.
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