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.
Posts Tagged: analytics
Developing AI talent: a checklist and resources you can use now.
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.
Learn more about Operations Research, the discipline of applying advanced analytical methods to inform better decisions, primarily to optimize organizational operations through a scientific methodology.
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.
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.
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.
An agencywide data governance strategy puts the policies into place to take stock of data, standardize reporting, implement security procedures and discover potential use cases for data.
Traditional data platforms are insufficient in meeting the demanding requirements of a government that must move fast and make data-driven decision