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.
With the right tools, state and local agencies can improve their cybersecurity, safeguard their data, and ensure continuous operation.
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.
Outdated systems can stifle innovation and frustrate users. But with machine learning, organizations can streamline their operations and implement a more user-centric approach.