AI Strategy and Security: A Roadmap by Donnie W. Wendt (.ePUB)+
File Size: 12.7 MB
AI Strategy and Security: A Roadmap for Secure, Responsible, and Resilient AI Adoption by Donnie W. Wendt
Requirements: .ePUB, .PDF reader, 12.7 MB
Overview: AI will fundamentally change the way business is conducted across most industries. Organizations that excel at leveraging secure, responsible AI to advance their strategic objectives will have a distinct advantage. Those that do not may see their market share erode. This book provides a guide for organizations to integrate AI in alignment with the organization’s strategic goals. The framework provides a roadmap for adopting secure, responsible, and resilient AI, from initial strategy development to ongoing operations that will help advance market leadership. Part one of the book discusses laying a solid foundation to ensure successful AI integration, beginning with developing an AI strategy aligned with strategic business objectives, such as product and service differentiation, market expansion, and process optimization. Part Two takes a deep dive into ensuring secure and safe AI adoption. It proposes a secure-by-design approach to AI development that considers AI-specific attack vectors and associated security practices throughout the AI lifecycle. Developing and deploying secure, responsible, and resilient AI is not a one-time effort. Therefore, Part Three discusses operationalizing AI and integrating it throughout the enterprise to ensure continued success. To mitigate these risks, organizations can take several strategic steps. First, favoring open standards and open-source tools wherever possible improves portability by using frameworks like PyTorch, TensorFlow, or MLflow instead of vendor-native interfaces. Second, architecting cloud AI workloads with modularity and abstraction in mind, such as deploying AI models in Docker containers or using Kubernetes across cloud providers, makes systems more portable.
Genre: Non-Fiction > Tech & Devices
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