Enterprise AI in the Cloud: A Practical Guide to Deploying End-To-End Machine Learning and Chatgpt Solutions (雲端企業人工智慧：端到端機器學習與ChatGPT解決方案的實用指南)

Embrace emerging AI trends and integrate your operations with cutting-edge solutions

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning Solutions is a helpful resource for professionals and companies who want to bring new AI technologies like generative AI and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises.

This book gives you expert guidance on selecting the ideal cloud platform and integrating it with your existing apps and systems. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation. Review questions and answers at the end of every chapter help you assess your understanding of the concepts. Enterprise AI in the Cloud allows you to:

• Discover a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation
• Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning
• Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google cloud platforms
• Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture

Whether you're a beginner or an experienced AI or MLOps (ML Operations) engineer, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. This book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.