Description
Enterprise AI explores the strategic and technical aspects of implementing AI at an enterprise scale, serving as a roadmap for sustainable business transformation. The book explains that AI is more than just a tool for automation; it is a catalyst for fundamental change in manufacturing, supply chain, and marketing processes, empowering organizations to anticipate and act intelligently.
The authors emphasize the importance of data governance and security in the Sovereign Cloud so that trust and innovation can grow simultaneously. The book addresses the challenges of implementing AI models in resource-constrained organizational environments and offers solutions for democratizing this technology at all management and operational levels to achieve real value creation.
Book Features
- Providing practical frameworks for implementing responsible and ethical AI.
- Exploring AI maturity models and change management in large organizations.
- Teaching methods for reducing resource footprint in heavy AI models.
- Analyze case studies in the areas of customer service, product management, and data governance.
- A guide to using Generative AI to increase team productivity.
- Focus on Federated Learning and enterprise data privacy solutions.
Book specifications
- Publisher: Springer
- Instructor: Shazia Sadiq
- Number of pages: 332
- Number of chapters: 11
- Format: PDF
Headlines
Scalable and sustainable practices for enterprise AI
Safe and responsible Enterprise AI
Value creation with Enterprise AI
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