Weaving Disconnected Sources Into a Data Fabric
“There isn’t a big data silver bullet. You have to tie together the infrastructure, systems and security with a flexible analytical framework.”
“There isn’t a big data silver bullet. You have to tie together the infrastructure, systems and security with a flexible analytical framework.”
While no agency was totally ready to handle COVID-19, the ones quickest to their feet had widespread data literacy and readymade use cases.
While with a vaccine and the right response, the pandemic itself will fade, its long-term health impacts will live with those who contracted and survived the virus. Interoperable, nuanced data will be vital to treating their conditions.
In an interview with GovLoop, an expert shared three areas agencies should focus on to adapt to an environment where employees can work with data anywhere.
There are five steps agencies can take so that big data delivers big value. Let’s take a look at them.
The key to mitigating the risk of security threats is leveraging AI-driven analytics to continuously monitor user behavior for proactive threat detection.
A data unicorn is a mathematician, data scientist and storyteller — someone who is mathematically strong, technically learned and narratively inclined. It’s exceedingly rare to come across them.
The reason DoD is able to thrive on the AI frontier, where so many agencies have barely trodden, is its central platform for data tools and services.
While local departments steward their own files, journalists and nonprofits maintain the most complete statistics on police use of force nationally.
Agencies have spent countless hours responding to the COVID-19 pandemic. Now is the time for agencies to shift their focus to resiliency efforts.