Automation -- a staple of federal IT initiatives for decades -- can only go so far when it comes to improving the performance and cost-effectiveness of government operations. The problem is that traditional software can only do so much without human intervention. That is where artificial intelligence comes in.
The interest in AI is not to replace people, but to augment their ability to do their jobs, whether that involves managing IT operations, analyzing data or delivering services. With AI applied, predictive analytics become more powerful, software-defined infrastructure can be increasingly self-healing, and the Internet of Things opens new opportunities for systems automation. Market research firm Gartner has identified AI as a megatrend over the next ten years, because of its potential to drive innovation in other fields.
This workshop brought together IT leaders from government and industry to explore the future of AI and machine learning in government. The sessions looked at key issues that agencies must consider when adopting AI-based solutions and highlight emerging best practices in early efforts in augmented government.
Potential topics addressed included:
- The difference between automation and augmentation
- The intersection of AI and analytics
- AI and IT orchestration
- Security in an augmented environment
- Current and emerging standards and guidelines for AI
- Future areas for AI-related growth