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.
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.
The theme of this year’s event, being held May 14 and 15 at the National Press Club in Washington, D.C., is “Reimagine: The Intersection of Technology and Modernization.”
As government moves forward with AI, agencies can bring these types of commercial best practices to citizens to improve the customer experience.
If you learn nothing else from this blog, remember this: The most important step in adding AI to any process is correctly labeling the training data.