English | 2024 | Original PDF | 23 MB | 527 Pages
Rabi Jay, 1394213050, 9781394213054, 9781394213061, 9781394344055, 9781394213078, 978-1394213054, 978-1394213061, 978-1394344055, 978-1394213078, B0CQRXCJ5S
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
innovation
- State-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 learning
- Platform
Scalability and MLOps (ML Operations): Select the ideal cloud platform
and adopt best practices on optimizing cloud infrastructure for
scalability and automation
- AWS,
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 platforms
- AI-Driven
Innovation Excellence: Get practical advice on identifying potential
use cases, developing a winning AI strategy and portfolio, and driving
an innovation culture
- Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics
- Scaling
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.
