Find mission-critical answers you never thought possible from internal data!
We're now at the point where government leaders should be seriously considering how to prepare their internal data to get the most value from GAI, as well as how to use GAI to facilitate a better citizen and employee experience.
As we're all finding, this concept has limitations.
In its current state, GenAI can produce impressive content, conversations, images, and more. But those results are only as relevant as the data the tool has been trained on.
When training data sets — which provide the appearance of knowledge inside large language models (LLMs) — are based on publicly available data on the internet, the answers they generate have limited scope. GAI based on public data is often prone to hallucinations — incorrect information presented as if it were accurate.
On the other hand, when GAI is used with an agency's internal data, it can significantly accelerate mission outcomes, improve citizen services, and better connect government knowledge workers like analysts and cybersecurity professionals to the right data at the right time. Why? Because that institutional data adds essential context.
This blog from Elastic explores more about the power of GenAI for government and the public sector.
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