Data Pipelines: A Vertically Integrated Digital Supply Chain
Advanced AI solutions require robust data pipelines to transform raw data into business value. Here’s how.
Advanced AI solutions require robust data pipelines to transform raw data into business value. Here’s how.
Successful AI adoption requires forethought and preparation. Although AI itself requires a culture open to experimentation and learning from mistakes, when it comes to ethics, risk, and compliance, you can’t simply wing it.
In the next few years, the digital workplace should be an organizational priority, as the workplace transformation is the key to longevity.
The city government of San Diego serves 1.4 million residents by using GIS as a core technology. The city adopted GIS 30 years ago.
Developing AI talent: a checklist and resources you can use now.
The federal IT pro of the very near future will be tasked with finding ways to use new technologies to enhance efficiency, modernize processes, and drive further digital transformation.
AI is coming, and it’s time to put the employee at the center of the planning.
Combining the computational power of artificial intelligence (AI) with the critical thinking ability of humans is the ideal solution for organizations looking to accelerate the discovery of actionable insights from their data assets.
As government moves forward with AI, agencies can bring these types of commercial best practices to citizens to improve the customer experience.
Automating manual processes, particularly security patching, in the data center is the key factor that will allow federal agencies to meet compliance standards and keep data secure while freeing up resources for other critical tasks.
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