Tag Archives: Blog

A Short History of Shared Services…and What’s Next.

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Shared Services in government is nothing new. The idea began in the 1980s with the consolidation of payroll and some other administrative functions. In the '90s the focus was on creating entities that could provide common business functions across government and, in that effort, become a cost center.

The 2000s saw the rise of the term 'Line of Business' that looked at common business functions across government to identify opportunities to transform, streamline and share. The Obama Administration looked specifically to IT as a shared service, releasing the Federal IT Shared Services Strategy that provided federal agency chief information officers and key stakeholders guidance. This guidance focused on the implementation of shared IT services as a key principle of their efforts to eliminate waste and duplication, with the intention to reinvest in innovative mission systems.

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The Telework Genie is Free. Now What?

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In regards to remote working, the general consensus seems to be, "you can't put the genie back in the bottle."

A good portion of the government workforce has been working from home for the past year, and the world has continued turning. In fact, some agencies report productivity is up since teleworking became the norm. While people will return to the office, it will look different with many alternating office days with days they work from home. The past year has shown us that working arrangements do not necessarily need to be confined to an office. And, when we also remove the stress of students learning from home, caring for homebound elderly parents, and a pandemic in general, employees may realize a new level of balance and job satisfaction.

To support the continued success of remote work, agencies need to shore up the IT that was put in place to simply keep the trains running on time. Some technology was implemented quickly to meet the immediate need, and now is the time to take a hard look at all of those solutions to see if they will scale to meet the long-term reality of a dispersed workforce.

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

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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.

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