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Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today) - Softcover
- PublisherWiley
- Publication date2024
- ISBN 10 1394213050
- ISBN 13 9781394213054
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages528
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Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)
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Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)
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Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)
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Enterprise Ai in the Cloud : A Practical Guide to Deploying End-to-end Machine Learning and Chatgpt Solutions
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Enterprise AI in the Cloud (Paperback)
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John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394213050
ISBN 13: 9781394213054
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Paperback. Condition: new. Paperback. 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 and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, 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. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation. Enterprise AI in the Cloud helps you gain a solid understanding of: AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovationState-of-the-Art Use Cases: 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 learningPlatform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automationAWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platformsAI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation cultureEthical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethicsScaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, 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. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781394213054
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ENTERPRISE AI IN THE CLOUD - A PRACTICAL GUIDE TO DEPLOYING END-TO-END MACHINE LEARNING AND CHATGPT SOLUTIONS
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ENTERPRISE AI IN THE CLOUD - A PRACTICAL GUIDE TO DEPLOYING END-TO-END MACHINE LEARNING AND CHATGPT SOLUTIONS
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Enterprise AI in the Cloud: A Practical Guide to D eploying EndtoEnd Machine Learning and ChatGPT S olutions
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Paperback. Condition: Brand New. 528 pages. 9.00x7.25x1.00 inches. In Stock. Seller Inventory # 1394213050
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