AI and Information Management Report 2024
Discover the Data Problem That's Stalling AI Success
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Explore the Latest on the Future of Work
Navigating the Future of Data Governance in a Cloud-First World
To ensure business continuity, data privacy, and effective collaboration in a cloud-first world, it is imperative that the cloud environment is secure and well-governed. Uncover some emerging cloud trends in data governance, and reveal practical steps to stay ahead of the many regulatory changes coming our way.
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Why a Strong Data Security and Management Foundation Matters for Public Sector Organizations Using Salesforce
Salesforce plays a vital role across public sector agencies, but it handles sensitive data that requires strong security and management practices to avoid risks that can lead to data loss, breach, corruption, or worse, exfiltration. Establishing the right data practices is therefore crucial for compliance, business continuity, and the effective use of new AI tools like Saleforce Einstein 1 and Agentforce. Without a secure data foundation, public sector agencies risk costly fines and inefficiencies, particularly in the face of increasing global cyberattacks. In this blog entry, we’ll cover the data security role of Salesforce in the public sector, the risks arising from poor data management and the need for a strong data foundation for public sector organizations, and how Salesforce is seeking to work better for public sector organizations.
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Managing the Unmanageable: Improving Public Sector Information Management in the Age of AI
AI adoption continues to spread across industries and regions, including public sector organizations all around the world. However, AI algorithms rely on large amounts of data to learn and make accurate predictions, and their output depends on the data quality on which they are trained. This presents a unique challenge for public sector organizations since they manage, store, and share a high level of sensitive information, including personal data, which makes them prone to data breaches. That's why striking a balance between innovation and information protection is essential to determine success in AI implementation, especially in the public sector.
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