As Doors Open…Citizens Still Want to Meet Online

As we emerge from the isolation of the pandemic and begin interacting in person again, it will be in a world that looks and feels a lot different. While we crave human interaction, that does not mean we want to go back to standing in lines at office buildings to complete certain tasks. Over the past year, people have gotten used to doing things virtually. Government agencies have made incredible progress moving traditionally manual, paper-intensive, in-person processes online, and there's no reason that should stop now that in-person is an option.

Additionally, the ability to get information online will continue to be an expectation of citizens. During the pandemic, local, state, and federal agencies quickly got data out to citizens regarding COVID cases, restrictions, and later vaccinations to help inform and shape behavior. In fact, Ohio had a jump on many states. They had launched Ohio Checkbook well before the pandemic to provide anyone a look at real-time state budgeting, financial and transactional data. Using that as a starting point, they quickly launched their COVID portal. Post-pandemic, all government agencies need to look at how the COVID data systems can be used to get other critical information and communication to the public about transportation, human services, workforce and more.

Continue reading

I See What You’re Saying. Natural Language Processing’s Role in our Digital World

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.

Continue reading