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Enterprise-Grade Hybrid and Multi-Cloud Strategies

Enterprise-Grade Hybrid and Multi-Cloud Strategies

By : AG
4.9 (7)
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Enterprise-Grade Hybrid and Multi-Cloud Strategies

Enterprise-Grade Hybrid and Multi-Cloud Strategies

4.9 (7)
By: AG

Overview of this book

In the past decade, cloud technology has evolved from a mere deployment platform into a driving force of innovation. However, navigating the complexities of cloud adoption, especially with a hybrid approach, presents significant challenges. Solving Hybrid Cloud Challenges for Enterprises is your trusted guide to overcome the problems encountered in this process. Written by a principal architect at Google with 15+ years of experience, this vendor agnostic book begins by exploring the case studies of enterprises stepping into the world of the cloud, highlighting the pivotal role of leadership vision and mindset in driving digital transformation. You’ll explore the basics of cloud technology, its impact on various industries, and the challenges of cloud adoption. As you dive deeper, you’ll find real-world use cases of enterprises that have digitally disrupted their respective industries by innovating in the cloud. From assessing the cloud maturity of an organization and designing a cloud strategy to exploring the various facets of cloud transformation, this book will guide you at every step of the way. Finally, you’ll learn how to lead your organization’s cloud transformation journey with emerging technologies. By the end, you'll be well-equipped to design and architect a scalable, cloud-first IT organization.
Table of Contents (17 chapters)
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1
Part 1: Challenges with Cloud Adoption at an Enterprise Scale
5
Part 2: Succeeding with Hybrid Cloud and Multi-Cloud
10
Part 3: Lead and Transform Your Business with Cloud

Embedding AI across the enterprise

AI is transforming enterprises across various industries, bringing about transformative changes in how businesses operate, make decisions, and interact with their customers. With AI embedded across the IT estate from chips to apps, the application of AI/ML has become indispensable for enhanced decision-making, automation of repetitive tasks, personalizing customer experiences, fraud detection and prevention, SA, and supply chain optimization. According to a study by IDC, global spending on AI is estimated to exceed $301 billion. Cloud computing has democratized the use and application of AI across the spectrum – from offering purpose-built GPUs and TPUs to running AI models that can be used on-demand with a pay-for-use model, APIs for pre-built AI models, automated ML (AutoML), and AI SDKs. Furthermore, the emergence of GenAI is revolutionizing creativity and is proving to change the way businesses operate.

Following are some ways enterprises...

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