3 Keys to Building an AI-Ready Workforce in 2025 and Beyond
Organizations are taking steps to ensure their workforces are AI-ready — at least, they should be.
Organizations are taking steps to ensure their workforces are AI-ready — at least, they should be.
The high costs associated with implementing advanced AI technology are often a significant barrier for agencies looking to adopt such tools. But certain cost-effective strategies — including upskilling, shared AI resources, and efficient tools — can help agencies dramatically reduce development costs.
By integrating certain tools and techniques, including Search AI and a zero-trust architecture, state and local agencies can improve their cybersecurity postures, safeguard their data, and ensure the continuous operation of their digital infrastructure.
Skeptical of AI? This article explores the parallels between AI and past technological revolutions. From “devil wagons” to microwave ovens, history shows that fear of the unknown is nothing new. Discover how AI could be the next game-changer in our evolution and learn practical strategies to embrace this technology responsibly.
AI is great, but is it inclusive? Here are tips to ensure that AI-generated content reflects diverse, unbiased data.
The AI factory process now includes two new ways, or MVPs, that demonstrate the product’s value to a user.
Even as agencies focus on short-term AI projects, they can start thinking about more strategic objectives, says Snowflake’s Winston Change.
AI – Proceed with Caution, Writers!
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.
Adopting AI will enhance operational efficiency and public service. But it will require significant policy changes across U.S. federal agencies to ensure it’s responsibly and ethically implemented.