Intelligent Automation With Vmware
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Intelligent Automation with VMware
Author: Ajit Pratap Kundan
language: en
Publisher: Packt Publishing Ltd
Release Date: 2019-03-30
Use self-driven data centers to reduce management complexity by deploying Infrastructure as Code to gain value from investments. Key FeaturesAdd smart capabilities in VMware Workspace ONE to deliver customer insights and improve overall securityOptimize your HPC and big data infrastructure with the help of machine learningAutomate your VMware data center operations with machine learningBook Description This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today. This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences. You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products. What you will learnOrchestrate on-demand deployments based on defined policiesAutomate away common problems and make life easier by reducing errors Deliver services to end users rather than to virtual machinesReduce rework in a multi-layered scalable manner in any cloudExplore the centralized life cycle management of hybrid cloudsUse common code so you can run it across any cloud Who this book is for This book is intended for those planning, designing, and implementing the virtualization/cloud components of the Software-Defined Data Center foundational infrastructure. It helps users to put intelligence in their automation tasks to get self driving data center. It is assumed that the reader has knowledge of, and some familiarity with, virtualization concepts and related topics, including storage, security, and networking.
Intelligent Automation with End-User Computing Solutions
Author: Ajit Pratap Kundan
language: en
Publisher: Springer Nature
Release Date: 2025-08-14
Intelligent Automation with End Computing Solutions" is a comprehensive book that delves into the intersection of intelligent automation and end computing, exploring the synergies between these two transformative technologies. This book addresses the fundamental concepts, applications, and implications of integrating intelligent automation with end computing solutions. The main topics covered in the book revolve around the integration of intelligent automation techniques, such as artificial intelligence (AI) and machine learning (ML), with end computing infrastructure. The book addresses this need by providing insights into how intelligent automation can be seamlessly integrated with end computing to create powerful and responsive systems. The authors also explore case studies and real-world examples where the integration of intelligent automation and end computing has led to significant improvements in various domains, such as manufacturing, healthcare, and smart cities. Readers will gain valuable knowledge about optimizing automation workflows, improving decision-making processes, and achieving operational excellence through the integration of intelligent automation with end computing solutions. In conclusion, "Intelligent Automation with End Computing Solutions" is a timely and essential resource for professionals, researchers, and decision-makers aiming to navigate the evolving landscape of automation and computing. The book equips its readers with the knowledge and tools necessary to harness the combined power of intelligent automation and end computing, paving the way for innovative and efficient solutions in the digital age. You Will: Learn fundamental concepts, applications, and implications of integrating intelligent automation with end computing solutions !--[endif]--Optimizing automation workflows, improving decision-making processes, and achieving operational excellence through the integration of intelligent automation with end computing solutions. Learn through case studies and real-world examples from industries like manufacturing, healthcare, and smart cities, showcasing tangible benefits and transformative outcomes. !-- [if !supportLists]--· THIS BOOK IS FOR : AI professionals, researchers, or advanced students pursuing AI as a specialization.
Intelligent Automation
Since prehistoric times, humans have invented ways to simplify daily activities to improve productivity. The most recent milestone in this journey is robotic process automation (RPA), helping to build software robots that can be leveraged to automate mundane and repetitive tasks that can be labor-intensive and prone to errors. In recent years, RPA has been integrated with emerging artificial intelligence (AI) and machine learning (ML) technologies to create what is referred to as intelligent automation (IA), emulating human actions and decision-making abilities. This book addresses the critical questions about the rise, usage, and future of IA practices. This book is structured by general personas considered as its primary target audience, ranging from: Early-stage practitioners seeking to learn effective management of IA programs Established IA practitioners seeking to drive maturity and scale Business leaders seeking to understand how to drive business value using IA Practitioners or academicians seeking to collaborate This book is strongly recommended for practitioners seeking to plan, implement, and scale IA practices in their organization and for researchers and students who intend to study strategy, implementation, and management of IA practice to accelerate the digital transformation agenda.