The Future of AI Hangs on Ethics, Trust
NSFs Sivagnanam believes the next several years could prove critical in laying the groundwork for the broad use of artificial intelligence.
NSFs Sivagnanam believes the next several years could prove critical in laying the groundwork for the broad use of artificial intelligence.
With properly deployed AI, maintaining a predictive security posture is possible, and the key is to focus not just on protection, but on prevention.
The time to think about artificial intelligence (AI) at your agency is sooner rather than later due to concerns like data security, transparency and bias.
Using human-centered design to make AI controllable, comprehensible and predictable is vital, and the U.S. government is well-positioned to lead the charge.
“We’re helping states rebuild critical unemployment systems with analytic automation, enabling agencies to deliver on their mission and get critical support to citizens.”
“The only way to stay ahead of malware-based attacks is to create a predictive capability where you can learn from history to predict the future. And that is precisely what machine learning and artificial intelligence are absolutely fantastic at doing.”
In today’s digital age, people are not only comfortable with online self-service options such as chatbots, they expect them.
To deliver secure, personalized experiences to citizens, agencies should rely on a cloud contact center that will meet FedRAMP requirements.
Digital transformation is no longer the wave of the future — it’s standard practice for many agencies today. The key to transformation in these environments is observability.
“What’s most exciting to me is the ability of RPA to make a mission impact — to really start to solve some big mission problems in government.”