Episode 5: Bonus Episode with Alex Measure

Federal agencies are looking for potential AI use cases that can be implemented today and deliver real value. In this bonus episode, we look at how the Bureau of Labor Statistics is using machine learning to help automate analysis of workforce data to deliver new insights faster.  How did they make the initial business case? What type of training was needed to prepare their workforce to use AI?  And what’s been the impact on their operations? 

In the next episode of the Exploring AI in Government podcasts, hosts Dominic Delmolino, chief technology officer at Accenture Federal Services, and Kathleen Walch, principal AI analyst at Cognilytica, explore these issues in a bonus episode with Alex Measure of the Bureau of Labor Statistics. An economist in training, he’s led the adoption of various AI techniques to automate classification of hundreds of thousands of Survey of Occupational Injuries and Illnesses fillings annually.  The system currently assigns almost 85% of these classifications at better than trained-human accuracy.  In this discussion, he discusses how the Bureau got here and what’s next. 

Check out what they have to say by listening to the episode below. Or download and subscribe on Apple Podcasts, Spotify, Stitcher, SoundCloud or Google Play to take Exploring AI in Government with you on your favorite device. And don’t forget to check out Accenture.com/ExploreAI to connect with the hosts, listen to episodes and download relevant research.

Artificial intelligence isn’t just a term used in science fiction any longer, it’s a real technology that’s having a true impact on the world and workforce around us. And as the technology and its use cases evolve, government services and missions stand to gain much from implementing AI effectively: From improving cybersecurity to automating menial tasks to supercharging citizen engagement. Accenture's Exploring AI in Government Podcast seeks to dig past the hype and highlight how experts and pioneers are making AI a reality in the federal government.