Private companies are increasingly interested in using generative AI systems like ChatGPT. However, concerns around privacy, security, and ethics need to be addressed. In this article, we explore why companies are concerned and how they can mitigate risks and responsibly use this technology.
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Privacy by design engineering is an approach that prioritizes privacy throughout the design process of systems, products, and services. It aims to minimize data collection and maximize security, transparency, and user control. By implementing privacy by design, organizations can mitigate privacy risks, comply with data privacy laws, and build trust with customers. Learn more about the principles, benefits, and best practices of privacy by design engineering in this article.
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Zachman and TOGAF are popular frameworks used in enterprise architecture. Zachman provides a high-level framework, while TOGAF offers a comprehensive approach with a detailed methodology and reference models. Both emphasize collaboration and communication between stakeholders. Learn more about their key features and differences for effective enterprise architecture development.
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