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    1. Data och IT
    2. Systemvetenskap och AI
    3. Artificiell intelligens

    Enterprise AI in the Cloud

    A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions

    AvRabi Jay

    Häftad, Engelska, 2024

    Del 7 i serien Tech Today

    661 kr

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    E-bok

    813 kr

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    Beskrivning

    Embrace emerging AI trends and integrate your operations with cutting-edge solutionsEnterprise 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 ModelWhether 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.

    Produktinformation

    • Utgivningsdatum:2024-01-02
    • Mått:188 x 236 x 31 mm
    • Vikt:726 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Tech Today
    • Antal sidor:528
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781394213054

    Utforska kategorier

    • Artificiell intelligens inom Data och IT

    Mer om författaren

    RABI JAY is a recognized IT expert with over 15 years of experience working in roles such as VP of Architecture, Digital Platform Strategy Lead, and Global Alliance Manager at Deloitte Consulting, as well as at HCL America and SapientRazorfish. He has been instrumental in driving large-scale, enterprise-level Cloud and AI transformations across diverse industries like retail, telecom, finance, and tech. He holds sought-after certifications in AWS Machine Learning, AWS Solutions Architect, and Microsoft Azure. You can connect with Rabi through his authoritative LinkedIn newsletter, Enterprise AI Transformation.

    Innehållsförteckning

    • Introduction xviiPart I: IntroductionChapter 1: Enterprise Transformation with AI in the Cloud 3Chapter 2: Case Studies of Enterprise AI in the Cloud 19Part II: Strategizing and Assessing for AiChapter 3: Addressing the Challenges with Enterprise AI 31Chapter 4: Designing AI Systems Responsibly 41Chapter 5: Envisioning and Aligning Your AI Strategy 50Chapter 6: Developing An AI Strategy and Portfolio 57Chapter 7: Managing Strategic Change 66Part III: Planning and Launching a Pilot ProjectChapter 8: Identifying Use Cases for Your AI/ml Project 79Chapter 9: Evaluating AI/ml Platforms and Services 106Chapter 10: Launching Your Pilot Project 152Part IV: Building and Governing Your TeamChapter 11: Empowering Your People Through Org Change Management 163Chapter 12: Building Your Team 173Part V: Setting Up Infrastructure and Managing OperationsChapter 13: Setting Up An Enterprise AI Cloud Platform Infrastructure 187Chapter 14: Operating Your AI Platform with Mlops Best Practices 217Part VI: Processing Data and ModelingChapter 15: Process Data and Engineer Features in The Cloud 243Chapter 16: Choosing Your AI/ml Algorithms 268Chapter 17: Training, Tuning, and Evaluating Models 315Part VII: Deploying and Monitoring ModelsChapter 18: Deploying Your Models Into Production 345Chapter 19: Monitoring Models 361Chapter 20: Governing Models for Bias and Ethics 377Part VIII: Scaling and Transforming AIChapter 21: Using the AI Maturity Framework to Transform Your Business 391Chapter 22: Setting Up Your AI Coe 407Chapter 23: Building Your AI Operating Model and Transformation Plan 416Part IX: Evolving and Maturing AIChapter 24: Implementing Generative AI Use Cases With Chatgpt for the Enterprise 433Chapter 25: Planning for the Future of AI 465Chapter 26: Continuing Your AI Journey 479Index 485