Artificial Intelligence and the Information Lifecycle 

Artificial Intelligence and the Information Lifecycle 

The year is 1989 and we’re introduced to the World Wide Web. The Berlin Wall is coming down. The Exxon Valdez is spilling oil in Prince William Sound, Alaska. Students are calling for democracy and free speech in Tiananmen Square. Crockett and Tubbs are clearing the mean streets of Miami. A future pop star by the name of Taylor Swift is born. This all occurred 30 years ago, around the same time as—if not more recently than—a number of government systems were put into place


Fast forward to 2019 and consider all the disruption that emerging technology is presenting to the federal government. Blockchain, quantum computing, internet of things, robotics, 5G … the list goes on. What does this mean? When you consider the capabilities of these new technologies and 30, 40 or 50-year-old legacy systems, agencies are generating large volumes of records, information and data in multiple formats—physical and digital—that must be leveraged and stored effectively.


No matter the format, all this information is part of a lifecycle: Agencies create it, use it, store it and destroy it. Besides the sheer volume of information, this lifecycle process is no different now than 30 years ago. The question is, how can agencies better manage that lifecycle? And, what can they put into place to glean insights from the information wherever it is within that lifecycle?


Records Managers Can Help


In light of all this information—and pressing National Archives and Records Administration electronic records deadlines—government records managers can help by:


1. Transforming to a New Way of Working


Records managers need to manage information in new ways. Many agencies today struggle with the efficiency of their records and information manag ..

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