Unlocking AI Potential in the Public Sector
Get a clear and actionable roadmap to prepare for AI and Copilots in your agency!
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3 Steps to Automate AI Data Readiness
Artificial Intelligence (AI) stands at the frontier of technological innovation, offering unparalleled opportunities and formidable challenges. Recognizing both its potential and risks, the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and the Blueprint for an AI Bill of Rights emphasize the need for rigorous standards and accountability in AI development. These initiatives underscore the importance of data readiness in ensuring AI's effectiveness and security.
Our free eBook, "Unlocking AI Potential in the Public Sector: 3 Steps to Automate Data Readiness," will guide you through essential steps to prepare, secure, and optimize your data for AI success. In this comprehensive guide, you’ll learn how to:
- Prepare and Optimize Your Data: Clean, organize, and classify your data to make it AI-ready.
- Ensure Security and Compliance: Safeguard your data from threats and adhere to regulatory standards.
- Implement Best Practices for Data Governance: Enforce robust data governance policies and manage information effectively.
With our eBook, you’ll unlock AI’s transformative power while addressing its challenges and risks. Discover how AvePoint’s solutions and services can support your journey to AI data readiness.
Download your free eBook today and be AI-ready in the public sector.
“When using AI systems, it’s essential to control its access to ensure the security of your data. For example, although it’s designed to protect privacy and ensure compliance and security, Copilot for Microsoft 365 can access information from anywhere it has permission. Thus, it’s critical to monitor and control its access stringently.”
“Government entities, like all organizations, are creating more data than ever before, with the volume of digital data generated doubling every two years. As you begin to leverage GenAI, even more data will be generated through a variety of means.”