How to Lay the Foundation for Long-Term AI Success
Even as agencies focus on short-term AI projects, they can start thinking about more strategic objectives, says Snowflake’s Winston Change.
Even as agencies focus on short-term AI projects, they can start thinking about more strategic objectives, says Snowflake’s Winston Change.
AI is helping political candidates analyze data on voter demographics, social media behavior, past voting patterns, and more. Unfortunately, this efficiency also benefits bad actors looking to spread political disinformation.
AI – Proceed with Caution, Writers!
The foundation of AI is data — high-quality, accessible and secure. Think of a pyramid, The top 10% or 20% is AI. Everything below is data and data management.
In Columbia, South Carolina, garbage trucks could become the eyes of the city’s Public Works Administration. Using a beautification grant, the city is testing a program that would outfit trash trucks with cameras that gather footage for an AI system called City Detect to analyze for code violations — a potential boon to code enforcers.
Machine learning is transforming public sector services by enabling predictive analytics, improving decision-making, optimizing operations like transportation and social services, and enhancing efficiency, while offering opportunities for innovation and improved resource allocation with careful attention to ethical use and data privacy.
AI has the potential to enhance cybersecurity immensely — but also poses a threat. Agency security professionals need to get up to speed on this double-edged tool.
Whenever a new technology is involved, there’s a learning curve — and there’s always new technology, Robert Imhof, Consulting Systems Architect at Fortinet Federal. “It’s going to be worth investing the time and effort to learn this technology,” says . “Security professionals that can master utilizing AI in addition to their other technical skills are… Read more »
Government is understandably excited about the potential for AI to elevate constituent services and enhance mission outcomes. But AI needs data — lots of data — to understand patterns and deliver intelligible guidance to federal workers. As agency leaders tackle these hurdles, they need to think about the desired outcomes and how AI can add… Read more »
By taking a “mindful” approach to machine learning, agencies can modernize their mainframe systems to meet today’s need for scalability, performance and seamless integration.