Agility has been a key attribute for success over the past year and a half. Everyone had to quickly adapt in their personal and professional lives to do things in new ways to keep business and society running. Even the great bureaucracy of government found itself pivoting and quickly changing "how it's always been done" to meet the needs of the day. This should not end with the return to what feels like pre-pandemic normal. In the form of Agile methodology, Agility will play a huge role in the government's ability to continue the fast-forwarded digital push as a result of the pandemic.
Just as government pushed agencies to try Cloud with the "Cloud First" initiative, some are suggesting the same approach for Agile. An "Agile-First" evolution would have a huge impact on IT modernization efforts, accelerating the move from legacy processes and technology to a modern digital approach. The response to COVID-19 showed that the government can move quickly in changing how they do work (across all areas of government). An Agile-first "mandate" could institutionalize that speed and make it the rule rather than the exception.
Artificial Intelligence is being implemented across government to modernize and automate traditional manual processes. For many organizations, this means taking paper-based, tedious, error-prone tasks and turning them over to a machine for automated completion. Beyond using AI to hand off tasks best completed by machines -- those that are rote and repetitive -- agencies are also looking at ways to introduce the technology into already complex human-driven activities to make them even more effective and efficient.
Researchers at Dartmouth College's Department of Computer Science have taken a technique that proved valuable in WWII and applied AI to extend the usefulness of the method. A canary trap is a technique that plants different instances of false information in documents. If one of those documents is leaked, the canary will "sing," identifying the leaker. For example, in WWII British intelligence agents planted false documents on a corpse to trick Nazi Germany into preparing for an assault on Greece while the Allies invaded Sicily. The team at Dartmouth created a modern version, WE-FORGE, that plants different instances of false information in documents. The process is relatively simple when creating a small number of variations in a handful of documents, but to extend it to large scientific or technical documents, AI is essential. WE-FORGE uses natural language processing to generate multiple fake files that are believable yet incorrect.
Though the word may be overused, state and local governments are indeed facing unprecedented challenges. Forced to move operations online in response to their own stay-at-home orders, state and local agencies have spent the last year retooling how they serve citizens. They have been paying for necessary technology upgrades and other new equipment while revenues from taxes have dropped considerably. Even with these financial challenges, state CIOs are committed to continuing with their innovation and modernization efforts.
A study from the National Association of State CIOs (NASCIO) showed that priorities for state and local CIOs stayed consistent over the last year, with cybersecurity and enhancing digital citizen service being the top two. Of course, these two areas saw critical investments in 2020 just to keep the business of government running. In 2021, the solutions put in place will be revisited, evaluated for efficiency, and operationalized to support agencies moving forward.
Natural Language Processing (NLP) is a computer science practice that aims to give computers the ability to understand text and spoken words in the same way humans can. NLP is a key feature of Artificial Intelligence (AI) as understanding the language that we use to "teach" computers is critical to evolving the accuracy of the AI tasks we are asking of them.
The most familiar application of NLP is speech recognition--taking the spoken word and converting it to text. Speech recognition also is part of any application that follows voice commands.To work properly, the technology has to be knowledgeable of accents and frequently understand context (semantics) to differentiate words with a similar sound but have various meanings or spellings. NLP is also closely tied to several tasks that work in the background of applications we use everyday, including spam detection, foreign language translation, virtual assistants, chatbots, social media sentiment analysis, and text summaries/abstracts for long documents.
The battles of tomorrow will likely not be fought on the ground, they will take place in cyberspace as nation-states and rogue actors alike look to interrupt the everyday functions of a country via high-tech attacks. Recently we saw theRussian hack of software, designed (ironically) to help organizations monitor network problems and anomalies, which has the government and private companies scrambling to determine what data was compromised. With cyberspace being the new battlefield, data and data management have quickly become a strategic asset in the DoD arsenal.
Last fall, the DOD released the Department's Data Strategy. An overarching guidance on how they will manage, secure, and use data. This document supports theDOD's transition to "a data-centric organization that uses data at speed and scale for operational advantage and increased efficiency." The Data Strategy includes 7 goals, nicknamed VAULTIS, to becoming data-centric: