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Implementing AI for the Enterprise by S. Raja Gopalan is a practical guide aimed at business leaders looking to effectively deploy AI within their organizations. The book emphasizes the importance of aligning AI initiatives with business objectives and provides frameworks, case studies, and best practices for successful implementation. It also addresses the challenges and risks associated with AI, including data quality and ethical considerations.
The book outlines a structured approach to identifying AI opportunities and integrating them across various business functions. It highlights the necessity of robust data governance and the potential risks of AI misuse, such as deepfakes and cyberattacks. Overall, it serves as a comprehensive resource for executives seeking to harness AI's transformative potential while navigating its complexities.
• AI is transforming business operations and entire industries.
• High-quality data is essential for effective AI model training.
Data governance ensures data integrity and compliance, crucial for effective AI deployment.
MLOps facilitates the deployment and management of machine learning models across organizations.
Deepfakes are AI-generated content that can be misused for impersonation and misinformation.
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