At a recent GovLoop Virtual Summit, we spoke to a federal IT official about how AI is helping with datasets on everything from public transit to road safety.
With campaigns of mass and fake comments plaguing public feedback mechanisms for regulatory agencies, GSA seeks public input on potential solutions.
Agencies can provide a solid data foundation for their AI programs by optimizing data and creating a data governance model.
When it comes to artificial intelligence, there’s a recurring question and concern that is regularly raised: How are agencies preparing the workforce?
Nationwide, state and local governments who have properly incorporated RPA bots into their workforces are reaping major returns every day.
RPA is now a standard at many federal agencies, but experts urge interested parties to introduce do their research to implement RPA the right way.
A single RPA bot can save agencies thousands of full-time employee hours every year. Multiply that across more than 100 bots, and then RPA’s full potential is realized.
Robotic process automation (RPA) is one of the highest return-on-investment technologies for agencies to acquire.
Before emerging technologies can transform an agency, the data has to be standardized, accessed and shared, directed by organizational guidance.
GovLoop interviewed Elham Tabassi, Chief of Staff for the Information Technology Lab (ITL) at the National Institute of Standards and Technology (NIST).