Remove Compliance Remove Government Remove Storage
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What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. Cloud computing.

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How startups can ensure CCPA and GDPR compliance in 2021

TechCrunch

If your business is online and collecting customer personal information, your business is dealing in data, which means data privacy compliance regulations will apply to everyone — no matter the company’s size. Challenges of data compliance for startups. Data is the most valuable asset for any business in 2021.

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Are enterprises ready to adopt AI at scale?

CIO

This requires greater flexibility in systems to better manage data storage and ensure quality is maintained as data is fed into new AI models. As data is moved between environments, fed into ML models, or leveraged in advanced analytics, considerations around things like security and compliance are top of mind for many.

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IT leaders brace for the AI agent management challenge

CIO

Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Building trust through human-in-the-loop validation and clear governance structures is essential to establishing strict protocols that guide safer agent-driven decisions.

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Trade routes of the digital age: How data gravity shapes cloud strategy

CIO

In the digital world, data integrity faces similar threats, from unauthorized access to manipulation and corruption, requiring strict governance and validation mechanisms to ensure reliability and trust. Regulatory and compliance challenges further complicate the issue. Security is another key concern.

Strategy 134
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Navigating the future of national tech independence with sovereign AI

CIO

Cultural relevance and inclusivity Governments aim to develop AI systems that reflect local cultural norms, languages, and ethical frameworks. This ensures data privacy, security, and compliance with national laws, particularly concerning sensitive information.

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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning - AI

This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact. The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure.