The Key to Scalable AI Decision-Making? Even Better Training Data
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.
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.
It’s easy to get caught up in the hype and to forget all the groundwork and tactical steps it takes to effectively establish and use AI in an organization.
Amazon’s cloud-based voice response system has become famous for technological integration within homes, but many people don’t think of these same technologies when it comes to the government.
Backlogs can seem daunting. Artificial intelligence can help. But how can you get started? Read on to find out.
The sooner organizations embrace change and ready their staff for adoption, the sooner they can realize AI’s benefits. So, what’s the hold-up? In a word, culture. Changing the underlying principles of an organization takes time and serious effort.
A session at IBM’s ThinkGov explored the opportunities created by AR and AI, potential difficulties with implementation and case studies.
Whereas repetitive and basic tasks in a traditional setting can take tens of thousands of hours to complete, software-enabled bots can accomplish these same tasks with rapid speed and infallible accuracy.
Lt. Gen. John N.T. “Jack” Shanahan noted that AI could help DoD maximize the benefits of the agency’s data, adding that cloud is best for handling such information effectively.
In a workforce shaped by emerging technology, workers are going to be tapped for their ability to adapt to different technology and ask questions.
Capt. Michael Kanaan added that he hopes AI becomes as ubiquitous as horsepower across the entirety of America’s armed forces.