James Mersol Wed, 07/24/2019
Various agencies are finding success in early use cases for AI, machine learning and RPA.
Artificial intelligence, machine learning and robotic process automation are at the forefront of emerging technologies for both the public and private sectors. These nascent technologies promise to not only streamline the collection and processing of large data sets, but also automate many of the day-to-day tasks of IT offices, carry out astrophysics calculations in seconds and enable assistive medicine that can monitor patient health and recommend treatment operations, to name a few proposed use cases.
Some government innovators in this area are already using predictive algorithms and other AI precursors. Neither government nor industry has arrived at a single definition of what artificial intelligence looks like – and what separates it from the predictive algorithms that currently exist – nor has either agreed upon a timeline for when artificial intelligence will enter the marketplace, as government leaders noted at the ATARC artificial intelligence working group launch July 15. While some predictions estimate AI is still a decade away, NASA and its industry partners predict AI is much closer – three to five years, said John Sprague, the acting associate CIO for NASA’s transformation and data division.
Sprague detailed several use cases for AI that his division is already testing. In one example, NASA has built a “constant digital employee” named Washington G. Bot, which can perform some automated tasks and assign others to employees to optimize workflow. In another, the Langley Research Center has an automated system to collect scholarly articles and other research on relevant technologies and issues such as carbon nanotubes and space radiation. While neither of these use cases may be true artificial intelligence, they already demonstrate potential uses for RPA.