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| gartner aiops market guide: Future And Fintech, The: Abcdi And Beyond Jun Xu, 2022-05-05 The Future and FinTech examines the fundamental financial technologies and its growing impact on the Banking, Financial Services and Insurance (BFSI) sectors. With global investment amounting to more than $100 billion in 2020, the proliferation of FinTech has underpinned the direction payments, loans, wealth management, insurance, and cryptocurrencies are heading.This book presents FinTech from an industrial perspective in the context of architecture and its basic building blocks, e.g., Artificial Intelligence (AI), Blockchain, Cloud, Big Data, Internet of Things (IoT), and its connections to real-life applications at work. It provides a detailed guidance on how FinTech digitalizes business operations, improves productivity and efficiency, and optimizes resource management with the help of some new concepts, such as AIOps, MLOps and DevSecOps. Readers will also discover how FinTech Innovations connect BFSI to the rest of the world with growing interests in Open Banking, Banking-as-a-Service (BaaS) and FinTech-as-a-Service (FaaS).To help readers understand how FinTech has unlocked numerous opportunities for tapping into the massive substantial group of customers, this book illustrates the massive changes already underway and provides insights into changes yet to come through practical examples and applications with illustrative figures and summary tables, making this book a handy quick reference for all things of FinTech.Related Link(s) |
| gartner aiops market guide: Enterprise DevOps for Architects Jeroen Mulder, 2021-11-11 An architect's guide to designing, implementing, and integrating DevOps in the enterprise Key FeaturesDesign a DevOps architecture that is aligned with the overall enterprise architectureDesign systems that are ready for AIOps and make the move toward NoOpsArchitect and implement DevSecOps pipelines, securing the DevOps enterpriseBook Description Digital transformation is the new paradigm in enterprises, but the big question remains: is the enterprise ready for transformation using native technology embedded in Agile/DevOps? With this book, you'll see how to design, implement, and integrate DevOps in the enterprise architecture while keeping the Ops team on board and remaining resilient. The focus of the book is not to introduce the hundreds of different tools that are available for implementing DevOps, but instead to show you how to create a successful DevOps architecture. This book provides an architectural overview of DevOps, AIOps, and DevSecOps – the three domains that drive and accelerate digital transformation. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this DevOps book will help you to successfully integrate DevOps into enterprise architecture. You'll learn what AIOps is and what value it can bring to an enterprise. Lastly, you will learn how to integrate security principles such as zero-trust and industry security frameworks into DevOps with DevSecOps. By the end of this DevOps book, you'll be able to develop robust DevOps architectures, know which toolsets you can use for your DevOps implementation, and have a deeper understanding of next-level DevOps by implementing Site Reliability Engineering (SRE). What you will learnCreate DevOps architecture and integrate it with the enterprise architectureDiscover how DevOps can add value to the quality of IT deliveryExplore strategies to scale DevOps for an enterpriseArchitect SRE for an enterprise as next-level DevOpsUnderstand AIOps and what value it can bring to an enterpriseCreate your AIOps architecture and integrate it into DevOpsCreate your DevSecOps architecture and integrate it with the existing DevOps setupApply zero-trust principles and industry security frameworks to DevOpsWho this book is for This book is for enterprise architects and consultants who want to design DevOps systems for the enterprise. It provides an architectural overview of DevOps, AIOps, and DevSecOps. If you're looking to learn about the implementation of various tools within the DevOps toolchain in detail, this book is not for you. |
| gartner aiops market guide: The Competitive Intelligence Playbook Fouad Benyoub, Do you believe that intelligence, not data, can shape better business decisions? Do you want to explore how to gather, analyze, and share competitive intelligence? Do you want to learn what it takes to build efficient competitive intelligence programs? Then The Competitive Intelligence Playbook is for you! In this book, you will find the main ingredients you need to take your competitive intelligence program to the next level. You will learn how to build, manage, and optimize your program. You will learn how to move your program from the tactical to the strategic level of your organization. Most importantly, you will learn how to extract the most business value from the program. Let the journey begin! |
| gartner aiops market guide: Managing Distributed Cloud Applications and Infrastructure Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis, 2020-07-20 The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is simply so complex that it is no longer realistic for IT teams to manually foresee the potential issues and manage the dynamism and dependencies across an increasing inter-dependent chain of service provision. This Open Access Pivot explores these challenges and offers a solution for the intelligent and reliable management of physical infrastructure and the optimal placement of applications for the provision of services on distributed clouds. This book provides a conceptual reference model for reliable capacity provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver quality of service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities. |
| gartner aiops market guide: Cognitive Computing Recipes Adnan Masood, Adnan Hashmi, 2019-03-27 Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries. Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will LearnBuild production-ready solutions using Microsoft Cognitive Services APIs Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK) Solve enterprise problems in natural language processing and computer vision Discover the machine learning development life cycle – from formal problem definition to deployment at scale Who This Book Is For Software engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems. |
| gartner aiops market guide: Blockchain and Artificial Intelligence Tom James, 2021-08-23 Blockchain and artificial intelligence are perhaps the two most significant disruptive technologies this century and both will significantly rewire the world of global financial markets and the world in which we live. While blockchain offers a number of significant advantages over traditional forms of finance including lower cost and massive increases in operational efficiencies of traded markets, property records and a whole host of transaction processes, artificial intelligence is moving fast from basic structured machine learning doing menial yet important big data tasks like credit card fraud detection to predictive analysis and real-time real-world risk management and investment decision making. There is still a lot of confusion in the market about cryptocurrencies, bitcoin and the underlying blockchain technology. Blockchain and Artificial Intelligence highlights the underlying technologies of blockchain and the differences between cryptocurrencies and blockchain financial applications. It explores the current AI offerings and gives a vision of the fast-moving developments in this area including the many solutions that are expected to revolutionize the way financial and commodity markets will operate in the future. |
| gartner aiops market guide: Measuring the Business Value of Cloud Computing Theo Lynn, John G. Mooney, Pierangelo Rosati, Grace Fox, 2020-08-27 The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and Information Systems (IS) literature. However, emerging technologies such as the ever-changing complex area of cloud computing present new challenges and opportunities for demonstrating how IT investments lead to business value. Recent reviews of extant literature highlights the need for multi-disciplinary research. This research should explore and further develops the conceptualization of value in cloud computing research. In addition, there is a need for research which investigates how IT value manifests itself across the chain of service provision and in inter-organizational scenarios. This open access book will review the state of the art from an IS, Computer Science and Accounting perspective, will introduce and discuss the main techniques for measuring business value for cloud computing in a variety of scenarios, and illustrate these with mini-case studies. |
| gartner aiops market guide: Analysis, Verification and Transformation for Declarative Programming and Intelligent Systems Pedro Lopez-Garcia, John P. Gallagher, Roberto Giacobazzi, 2023-05-16 This Festschrift, dedicated to Manuel Hermenegildo on the occasion of his 60th birthday, contains papers written by many of his closest collaborators. Manuel received his Ph.D. degree in Computer Science and Engineering from the University of Texas at Austin, and among various positions he was an endowed chair in Information Science and Technology at the University of New Mexico. In 2007 he became the founding director of the IMDEA Software Institute, where he is now a Distinguished Professor, while also a full professor at Universidad Politécnica de Madrid (UPM). He has published more than 300 scientific publications, given numerous keynotes and invited talks at major conferences, coordinated many national and international projects, and served the community in major conference roles, on journal boards, and on funding, scientific, and research committees. Among his awards are the Julio Rey Pastor prize in Mathematics and Information Science and Technology and the Aritmel prize in Computer Science; he is an elected member of the Academia Europaea; and in 2022 he was elected a Fellow of the ACM for contributions to program analysis, verification, parallelism, logic programming, and the IMDEA Software Institute. Throughout his career Manuel has shown his amazing capacity for detailed work, thoroughness, and expert contributions, along with the interpersonal skills needed for successful collaboration, such as a positive attitude and a sense of humor. The contributions in this volume reflect the quality and the scope of his research interests and mentoring successes. |
| gartner aiops market guide: Continuous Innovation with DevOps Rainer Alt, Gunnar Auth, Christoph Kögler, 2021-05-14 This book connects the new world of digitalization with classic IT management. With the presence of software in objects, products and processes, most businesses will become software-defined businesses. Software development and software management are thus key to stay competitive in an environment that demands continuous innovation. The authors provide a comprehensive introduction to continuous innovation, the DevOps concept and lay the foundations of an innovation-oriented IT management. The DevOps approach to continuous innovation, which combines lean and agile concepts with an automated tool chain, enables solutions that synergize fast (re)action through digital innovation on the one hand and long-term development cycles and stable operation on the other. A comprehensive case study of T-Systems MMS, a digital service provider from Deutsche Telekom in Germany, illustrates the use of this approach in practice. |
| gartner aiops market guide: Neo Strategic Management M. S. S. El Namaki, 2023-10-02 Artificial intelligence has driven strategic management and strategic thinking into new directions and uncharted waters. Many of our previous concepts and theories have run out of steam and they have failed at accommodating and reflecting the realities of new technologies, particularly artificial intelligence. This book responds to these serious disruptions and goes beyond the familiar boundaries of strategic management and presents a dramatic overhaul of traditional strategic thinking. This book is unusual within the management literature arena as it draws upon concepts and tools belonging to other sciences as neurology, psychology and even physics. Yet this will mark future developments in the area and a sound understanding of that is essential for future conduct and performance of the strategic thinking function within the business environment. The analysis relies heavily on recent research, as well as the authors’ own work on AI, strategic thinking and data sciences. It will be of great interest to students and scholars of strategic management, technology research and organization behaviour. |
| gartner aiops market guide: The Digitalization of Neurology Daniel B. Hier, Michael Carrithers, Jorge Mario Rodriguez-Fernandez, Benjamin Kummer, 2023-10-31 Over the past 20 years Medicine in general, and Neurology in specific, has become increasingly digitized. Increasingly, Neurology has made a transition from qualitative to quantitative methods. The conversion of neurological data from free text to a computable format has made the application of digital tools to neurological diagnosis and prognosis a reality. This Research Topic in Frontiers in Digital Health will highlight how the digitization of data has revolutionized Neurology. Themes covered will include natural language processing, ontologies, phenotyping, big data, bio-banks, machine learning, graph theory, network analysis, computational models, electronic health records, telemetry, and teleneurology. |
| gartner aiops market guide: Mastering OpenTelemetry and Observability Steve Flanders, 2024-10-22 Discover the power of open source observability for your enterprise environment In Mastering Observability and OpenTelemetry: Enhancing Application and Infrastructure Performance and Avoiding Outages, accomplished engineering leader and open source contributor Steve Flanders unlocks the secrets of enterprise application observability with a comprehensive guide to OpenTelemetry (OTel). Explore how OTel transforms observability, providing a robust toolkit for capturing and analyzing telemetry data across your environment. You will learn how OTel delivers unmatched flexibility, extensibility, and vendor neutrality, freeing you from vendor lock-in and enabling data sovereignty and portability. You will also discover: Comprehensive coverage of observability issues and technology: Dive deep into the world of observability and gain a comprehensive understanding of observability fundamentals with practical insights and real-world use cases. Practical guidance: From instrumentation techniques to advanced tracing strategies, gain the skills needed to create highly observable systems. Learn how to deploy and configure OTel, even in challenging brownfield environments, with step-by-step instructions and hands-on exercises. An opportunity for community contributions and communication: Join the OTel community, including end-users, vendors, and cloud providers, and shape the future of observability while connecting with experts and peers. Whether you are a novice or a seasoned professional, Mastering Observability and OpenTelemetry is your roadmap to troubleshooting availability and performance problems by learning to detect anomalies, interpret data, and proactively optimize performance in your enterprise environment. Embark on your journey to observability mastery today! |
| gartner aiops market guide: The Internet of Things Samuel Greengard, 2015-03-20 A guided tour through the Internet of Things, a networked world of connected devices, objects, and people that is changing the way we live and work. We turn on the lights in our house from a desk in an office miles away. Our refrigerator alerts us to buy milk on the way home. A package of cookies on the supermarket shelf suggests that we buy it, based on past purchases. The cookies themselves are on the shelf because of a “smart” supply chain. When we get home, the thermostat has already adjusted the temperature so that it's toasty or bracing, whichever we prefer. This is the Internet of Things—a networked world of connected devices, objects, and people. In this book, Samuel Greengard offers a guided tour through this emerging world and how it will change the way we live and work. Greengard explains that the Internet of Things (IoT) is still in its early stages. Smart phones, cloud computing, RFID (radio-frequency identification) technology, sensors, and miniaturization are converging to make possible a new generation of embedded and immersive technology. Greengard traces the origins of the IoT from the early days of personal computers and the Internet and examines how it creates the conceptual and practical framework for a connected world. He explores the industrial Internet and machine-to-machine communication, the basis for smart manufacturing and end-to-end supply chain visibility; the growing array of smart consumer devices and services—from Fitbit fitness wristbands to mobile apps for banking; the practical and technical challenges of building the IoT; and the risks of a connected world, including a widening digital divide and threats to privacy and security. Finally, he considers the long-term impact of the IoT on society, narrating an eye-opening “Day in the Life” of IoT connections circa 2025. |
| gartner aiops market guide: Diving into Secure Access Service Edge Jeremiah Ginn, David H. Brown, 2022-11-11 Implement Secure Access Service Edge (SASE) for secure network and application communications, exploring SASE services including SD-WAN, ZTF, and more with expert Jeremiah Ginn who helps CxO leaders achieve SASE success Key FeaturesMerge networking and security services into a single architecture to simplify network infrastructureExplore how zero trust network access (ZTNA) restricts access to provide native application segmentationFocus on a native, multitenant cloud architecture that scales dynamically with demandBook Description The SASE concept was coined by Gartner after seeing a pattern emerge in cloud and SD-WAN projects where full security integration was needed. The market behavior lately has sparked something like a space race for all technology manufacturers and cloud service providers to offer a SASE solution. The current training available in the market is minimal and manufacturer-oriented, with new services being released every few weeks. Professional architects and engineers trying to implement SASE need to take a manufacturer-neutral approach. This guide provides a foundation for understanding SASE, but it also has a lasting impact because it not only addresses the problems that existed at the time of publication, but also provides a continual learning approach to successfully lead in a market that evolves every few weeks. Technology teams need a tool that provides a model to keep up with new information as it becomes available and stay ahead of market hype. With this book, you'll learn about crucial models for SASE success in designing, building, deploying, and supporting operations to ensure the most positive user experience (UX). In addition to SASE, you'll gain insight into SD-WAN design, DevOps, zero trust, and next-generation technical education methods. What you will learnDevelop a comprehensive understanding of SASE from a market and technical perspectiveUnderstand SASE services and components included in SASE solutionsMove logically from prescriptive design to policy-based design and orchestrationUnderstand standard SASE use cases and how to integrate future componentsConvert from a legacy network design model to a secure DevOps model for future projectsUse a functional design overlay to eliminate inter-service competition for the control plane of the SASE serviceWho this book is for This book is for technology and security leaders and specifically for any CTO, CSO, CISO, or CIO looking for an executive approach to SASE for their organization. Anyone implementing SD-WAN, SASE, and SASE services for cloud, network, and security infrastructure will also find this book helpful. |
| gartner aiops market guide: Accelerating Software Quality Eran Kinsbruner, 2020-08-10 The book Accelerating Software Quality: Machine Learning and Artificial Intelligence in the Age of DevOps is a complete asset for software developers, testers, and managers that are on their journey to a more mature DevOps workflow, and struggle with better automation and data-driven decision making. DevOps is a mature process across the entire market, however, with existing Non-AI/ML technologies and models, it comes short in expediting release cycle, identifying productivity gaps and addressing them. This book, that was implemented by myself with the help of leaders from the DevOps and test automation space, is covering topics from basic introduction to AI and ML in software development and testing, implications of AI and ML on existing apps, processes, and tools, practical tips in applying commercial and open-source AI/ML tools within existing tool chain, chat-bots testing, visual based testing using AI, automated security scanning for vulnerabilities, automated code reviews, API testing and management using AI/ML, reducing effort and time through test impact analysis (TIA), robotic process automation (RPA), AIOps for smarter code deployments and production defects prevention, and many more.When properly leveraging such tools, DevOps teams can benefit from greater code quality and functional and non-functional test automation coverage. This increases their release cycle velocity, reduces noise and software waste, and enhances their app quality.The book is divided into 3 main sections: *Section 1 covers the fundamentals of AI and ML in software development and testing. It includes introductions, definitions, 101 for testing AI-Based applications, classifications of AI/ML and defects that are tied to AI/ML, and more.*Section 2 focuses on practical advises and recommendations for using AI/ML based solutions within software development activities. This section includes topics like visual AI test automation, AI in test management, testing conversational AI applications, RPA benefits, API testing and much more.*Section 3 covers the more advanced and future-looking angles of AI and ML with projections and unique use cases. Among the topics in this section are AI and ML in logs observability, AIOps benefits to an entire DevOps teams, how to maintain AI/ML test automation, Test impact analysis with AI, and more.The book is packed with many proven best practices, real life examples, and many other open source and commercial solution recommendations that are set to shape the future of DevOps together with ML/AI |
| gartner aiops market guide: Developing Cognitive Bots Using the IBM Watson Engine Navin Sabharwal, Sudipta Barua, Neha Anand, Pallavi Aggarwal, 2019-12-14 Cognitive Virtual Bots are taking the technology and user experience world by storm. This book provides clear guidance on how different cognitive platforms can be used to develop Cognitive Virtual Assistants that enable a conversation by using DialogFlow and advanced Natural Language Processing. You will start by understanding the technology landscape and various use cases that Cognitive Virtual Assistants can be used in. Early chapters will take you through the basics of Cognitive Virtual Assistants, before moving onto advanced concepts and hands on examples of using IBM Watson Assistant and its advanced configurations with Watson Discovery Services, Watson Knowledge Studio and Spellchecker Service. You'll then examine integrations that enrich the Cognitive Virtual Assistant by providing data around weather, locations, stock markets. The book concludes by providing a glimpse of what to expect in the future for Cognitive Virtual Assistants. What You'll Learn Review the fundamentals of Cognitive Virtual Assistants.Develop a Cognitive Virtual Assistant from scratch using IBM Watson platform.Integrate and enrich your Virtual Agent with other services such as weather, location and stocks.Instantly deliver your bot on major messaging channels such as Skype, SMS, and WebchatTrain your Cognitive Virtual Agent on specific use cases.Who This Book Is ForAI and machine learning engineers, cognitive solutions architects and developers would find the book extremely useful |
| gartner aiops market guide: Practical DataOps Harvinder Atwal, 2019-12-09 Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making. Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles. This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output. What You Will LearnDevelop a data strategy for your organization to help it reach its long-term goals Recognize and eliminate barriers to delivering data to users at scale Work on the right things for the right stakeholders through agile collaboration Create trust in data via rigorous testing and effective data management Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes Create cross-functional self-organizing teams focused on goals not reporting lines Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products Who This Book Is For Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production. |
| gartner aiops market guide: The Lean Approach to Digital Transformation Yves Caseau, 2022-05-01 The Lean Approach to Digital Transformation: From Customer to Code and From Code to Customer is organized into three parts that expose and develop the three capabilities that are essential for a successful digital transformation: 1. Understanding how to co-create digital services with users, whether they are customers or future customers. This ability combines observation, dialogue, and iterative experimentation. The approach proposed in this book is based on the Lean Startup approach, according to an extended vision that combines Design Thinking and Growth Hacking. Companies must become truly customer-centric, from observation and listening to co-development. The revolution of the digital age of the 21st century is that customer orientation is more imperative -- the era of abundance, usages rate of change, complexity of experiences, and shift of power towards communities -- are easier, using digital tools and digital communities. 2. Developing an information system (IS) that is the backbone of the digital transformation – called “exponential information system” to designate an open IS (in particular on its borders), capable of interfacing and combining with external services, positioned as a player in software ecosystems and built for processing scalable and dynamic data flows. The exponential information system is constantly changing and it continuously absorbs the best of information processing technology, such as Artificial Intelligence and Machine Learning. 3. Building software “micro-factories” that produce service platforms, which are called “Lean software factories.” This “software factory” concept covers the integration of agile methods, tooling and continuous integration and deployment practices, a customer-oriented product approach, and a platform approach based on modularity, as well as API-based architecture and openness to external stakeholders. This software micro-factory is the foundation that continuously produces and provides constantly evolving services. These three capabilities are not unique or specific to this book, they are linked to other concepts such as agile methods, product development according to lean principles, software production approaches such as CICD (continuous integration and deployment) or DevOps. This book weaves a common frame of reference for all these approaches to derive more value from the digital transformation and to facilitate its implementation. The title of the book refers to the “lean approach to digital transformation” because the two underlying frameworks, Lean Startup and Lean Software Factory, are directly inspired by Lean, in the sense of the Toyota Way. The Lean approach is present from the beginning to the end of this book -- it provides the framework for customer orientation and the love of a job well done, which are the conditions for the success of a digital transformation. |
| gartner aiops market guide: Applications of Artificial Intelligence in Business, Education and Healthcare Allam Hamdan, Aboul Ella Hassanien, Reem Khamis, Bahaaeddin Alareeni, Anjum Razzaque, Bahaa Awwad, 2021-07-12 This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy. |
| gartner aiops market guide: Driving Digital Isaac Sacolick, 2017-08-24 Every organization makes plans for updating products, technologies, and business processes. But that’s not enough anymore for the twenty-first-century company. The race is now on for everyone to become a digital enterprise. For those individuals who have been charged with leading their company’s technology-driven change, the pressure is intense while the correct path forward unclear. Help has arrived! In Driving Digital, author Isaac Sacolick shares the lessons he’s learned over the years as he has successfully spearheaded multiple transformations and helped shape digital-business best practices. Readers no longer have to blindly trek through the mine field of their company’s digital transformation. In this thoroughly researched one-stop manual, learn how to: • Formulate a digital strategy • Transform business and IT practices • Align development and operations • Drive culture change • Bolster digital talent • Capture and track ROI • Develop innovative digital practices • Pilot emerging technologies • And more! Your company cannot avoid the digital disruption heading its way. The choice is yours: Will this mean the beginning of the end for your business, or will your digital practices be what catapults you into next-level success? |
| gartner aiops market guide: Multi-Cloud Architecture and Governance Jeroen Mulder, 2020-12-11 A comprehensive guide to architecting, managing, implementing, and controlling multi-cloud environments Key Features Deliver robust multi-cloud environments and improve your business productivity Stay in control of the cost, governance, development, security, and continuous improvement of your multi-cloud solution Integrate different solutions, principles, and practices into one multi-cloud foundation Book DescriptionMulti-cloud has emerged as one of the top cloud computing trends, with businesses wanting to reduce their reliance on only one vendor. But when organizations shift to multiple cloud services without a clear strategy, they may face certain difficulties, in terms of how to stay in control, how to keep all the different components secure, and how to execute the cross-cloud development of applications. This book combines best practices from different cloud adoption frameworks to help you find solutions to these problems. With step-by-step explanations of essential concepts and practical examples, you’ll begin by planning the foundation, creating the architecture, designing the governance model, and implementing tools, processes, and technologies to manage multi-cloud environments. You’ll then discover how to design workload environments using different cloud propositions, understand how to optimize the use of these cloud technologies, and automate and monitor the environments. As you advance, you’ll delve into multi-cloud governance, defining clear demarcation models and management processes. Finally, you’ll learn about managing identities in multi-cloud: who’s doing what, why, when, and where. By the end of this book, you’ll be able to create, implement, and manage multi-cloud architectures with confidenceWhat you will learn Get to grips with the core functions of multiple cloud platforms Deploy, automate, and secure different cloud solutions Design network strategy and get to grips with identity and access management for multi-cloud Design a landing zone spanning multiple cloud platforms Use automation, monitoring, and management tools for multi-cloud Understand multi-cloud management with the principles of BaseOps, FinOps, SecOps, and DevOps Define multi-cloud security policies and use cloud security tools Test, integrate, deploy, and release using multi-cloud CI/CD pipelines Who this book is for This book is for architects and lead engineers involved in architecting multi-cloud environments, with a focus on getting governance right to stay in control of developments in multi-cloud. Basic knowledge of different cloud platforms (Azure, AWS, GCP, VMWare, and OpenStack) and understanding of IT governance is necessary. |
| gartner aiops market guide: Modern DevOps Practices Gaurav Agarwal, 2021-09-13 Enhance DevOps workflows by integrating the functionalities of Docker, Kubernetes, Spinnaker, Ansible, Terraform, Flux CD, CaaS, and more with the help of practical examples and expert tips Key Features Get up and running with containerization-as-a-service and infrastructure automation in the public cloud Learn container security techniques and secret management with Cloud KMS, Anchore Grype, and Grafeas Kritis Leverage the combination of DevOps, GitOps, and automation to continuously ship a package of software Book DescriptionContainers have entirely changed how developers and end-users see applications as a whole. With this book, you'll learn all about containers, their architecture and benefits, and how to implement them within your development lifecycle. You'll discover how you can transition from the traditional world of virtual machines and adopt modern ways of using DevOps to ship a package of software continuously. Starting with a quick refresher on the core concepts of containers, you'll move on to study the architectural concepts to implement modern ways of application development. You'll cover topics around Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools that will help you to build a base. As you advance, the book covers the core elements of cloud integration (AWS ECS, GKE, and other CaaS services), continuous integration, and continuous delivery (GitHub actions, Jenkins, and Spinnaker) to help you understand the essence of container management and delivery. The later sections of the book will take you through container pipeline security and GitOps (Flux CD and Terraform). By the end of this DevOps book, you'll have learned best practices for automating your development lifecycle and making the most of containers, infrastructure automation, and CaaS, and be ready to develop applications using modern tools and techniques.What you will learn Become well-versed with AWS ECS, Google Cloud Run, and Knative Discover how to build and manage secure Docker images efficiently Understand continuous integration with Jenkins on Kubernetes and GitHub actions Get to grips with using Spinnaker for continuous deployment/delivery Manage immutable infrastructure on the cloud with Packer, Terraform, and Ansible Explore the world of GitOps with GitHub actions, Terraform, and Flux CD Who this book is for If you are a software engineer, system administrator, or operations engineer looking to step into the world of DevOps within public cloud platforms, this book is for you. Existing DevOps engineers will also find this book useful as it covers best practices, tips, and tricks to implement DevOps with a cloud-native mindset. Although no containerization experience is necessary, a basic understanding of the software development life cycle and delivery will help you get the most out of the book. |
| gartner aiops market guide: How to Compete in the Age of Artificial Intelligence Soumendra Mohanty, Sachin Vyas, 2018 Get started with artificial intelligence in your business. This book will help you understand AI, its implications, and how to adopt a strategy that is rational, relevant, and practical. Beyond the buzzwords and the technology complexities, organizations are struggling to understand what AI means for their industry and how they can start their journey. How to Compete in the Age of Artificial Intelligence is not a book about complex formulas or solution architectures. It goes deeper into explaining the meaning and relevance of AI for your business. You will learn how to apply AI thinking across enterprise functions, including disruptive technologies such as IoT, Blockchain, and cloud, and transform your organization. What You'll Learn: Know how to spot AI opportunities and establish the right organizational imperatives to grow your business ; Understand AI in the context of changing business dynamics and the workforce/skills required to succeed ; Discover how to apply AI thinking across enterprise functions, from the boardroom to cybersecurity, IoT, IT operations, policies, and implement a sustainable and integrated human-machine collaboration strategy. |
| gartner aiops market guide: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Denis Dennehy, Anastasia Griva, Nancy Pouloudi, Yogesh K. Dwivedi, Ilias Pappas, Matti Mäntymäki, 2021-08-25 This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic. |
| gartner aiops market guide: Enterprise Cloud Strategy Barry Briggs, Eduardo Kassner, 2016-01-07 How do you start? How should you build a plan for cloud migration for your entire portfolio? How will your organization be affected by these changes? This book, based on real-world cloud experiences by enterprise IT teams, seeks to provide the answers to these questions. Here, you’ll see what makes the cloud so compelling to enterprises; with which applications you should start your cloud journey; how your organization will change, and how skill sets will evolve; how to measure progress; how to think about security, compliance, and business buy-in; and how to exploit the ever-growing feature set that the cloud offers to gain strategic and competitive advantage. |
| gartner aiops market guide: Artificial Intelligence in Banking Introbooks, 2020-04-07 In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, In a world focused on using AI in new ways, we're focused on using it wisely and responsibly. |
| gartner aiops market guide: The Delta Model Arnoldo C. Hax, 2009-11-27 Strategy is the most central issue in management. It has to do with defining the purpose of an organization, understanding the market in which it operates and the capabilities the firm possesses, and putting together a winning plan. There are many influential frameworks to help managers undertake a systematic reflection on this issue. The most dominant approaches are Michael Porter’s Competitive Strategy and the Resource-Based View of the Firm, popularized by Gary Hamel and C.K. Prahalad. Arnoldo Hax argues there are fundamental drawbacks in the underlying hypotheses of these approaches in that they define strategy as a way to achieve sustainable competitive advantage. This line of thinking could be extremely dangerous because it puts the competitor at the center and therefore anchors you in the past, establishes success as a way of beating your competitors, and this obsession often leads toward imitation and congruency. The result is commoditization - which is the worst outcome that could possibly happen to a business. The Delta Model is an extremely innovative view of strategy. It abandons all of these assumptions and instead puts the customer at the center. By doing that it allows us to be truly creative, separating ourselves from the herd in pursuit of a unique and differentiated customer value proposition. Many years of intense research at MIT, supported by an extensive consulting practice, have resulted in development of powerful new concepts and practical tools to guide organizational leaders into a completely different way of looking at strategy, including a new way of doing customer segmentation and examining the competencies of the firm, with an emphasis on using the extended enterprise as a primary way of serving the customer. This last concept means that we cannot play the game alone; that we need to establish a network among suppliers, the firm, the customers, and complementors – firms that are in the business of developing products and services that enhance our own offering to the customer. Illustrated through dozens of examples, and discussion of application to small and medium-sized businesses and not-for-profits, the Delta Model will help readers in all types of organizations break out of old patterns of behavior and achieve strategic flexibility -- an especially timely talent during times of crisis, intense competition, and rapid change. |
| gartner aiops market guide: Data Science & Business Analytics Sneha Kumari, K. K. Tripathy, Vidya Kumbhar, 2020-12-04 Data Science & Business Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. |
| gartner aiops market guide: Data Analytics in Project Management Seweryn Spalek, J. Davidson Frame, Yanping Chen, Carl Pritchard, Alfonso Bucero, Werner Meyer, Ryan Legard, Michael Bragen, Klas Skogmar, Deanne Larson, Bert Brijs, 2019-01-01 Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future. |
| gartner aiops market guide: Advanced Web Services Athman Bouguettaya, Quan Z. Sheng, Florian Daniel, 2013-08-13 Web services and Service-Oriented Computing (SOC) have become thriving areas of academic research, joint university/industry research projects, and novel IT products on the market. SOC is the computing paradigm that uses Web services as building blocks for the engineering of composite, distributed applications out of the reusable application logic encapsulated by Web services. Web services could be considered the best-known and most standardized technology in use today for distributed computing over the Internet. This book is the second installment of a two-book collection covering the state-of-the-art of both theoretical and practical aspects of Web services and SOC research and deployments. Advanced Web Services specifically focuses on advanced topics of Web services and SOC and covers topics including Web services transactions, security and trust, Web service management, real-world case studies, and novel perspectives and future directions. The editors present foundational topics in the first book of the collection, Web Services Foundations (Springer, 2013). Together, both books comprise approximately 1400 pages and are the result of an enormous community effort that involved more than 100 authors, comprising the world’s leading experts in this field. |
| gartner aiops market guide: Agile Software Requirements Dean Leffingwell, 2010-12-27 “We need better approaches to understanding and managing software requirements, and Dean provides them in this book. He draws ideas from three very useful intellectual pools: classical management practices, Agile methods, and lean product development. By combining the strengths of these three approaches, he has produced something that works better than any one in isolation.” –From the Foreword by Don Reinertsen, President of Reinertsen & Associates; author of Managing the Design Factory; and leading expert on rapid product development Effective requirements discovery and analysis is a critical best practice for serious application development. Until now, however, requirements and Agile methods have rarely coexisted peacefully. For many enterprises considering Agile approaches, the absence of effective and scalable Agile requirements processes has been a showstopper for Agile adoption. In Agile Software Requirements, Dean Leffingwell shows exactly how to create effective requirements in Agile environments. Part I presents the “big picture” of Agile requirements in the enterprise, and describes an overall process model for Agile requirements at the project team, program, and portfolio levels Part II describes a simple and lightweight, yet comprehensive model that Agile project teams can use to manage requirements Part III shows how to develop Agile requirements for complex systems that require the cooperation of multiple teams Part IV guides enterprises in developing Agile requirements for ever-larger “systems of systems,” application suites, and product portfolios This book will help you leverage the benefits of Agile without sacrificing the value of effective requirements discovery and analysis. You’ll find proven solutions you can apply right now–whether you’re a software developer or tester, executive, project/program manager, architect, or team leader. |
| gartner aiops market guide: Applied Predictive Modeling Max Kuhn, Kjell Johnson, 2013-05-17 Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. |
| gartner aiops market guide: Learning to Rank for Information Retrieval Tie-Yan Liu, 2011-04-29 Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people. The ranker, a central component in every search engine, is responsible for the matching between processed queries and indexed documents. Because of its central role, great attention has been paid to the research and development of ranking technologies. In addition, ranking is also pivotal for many other information retrieval applications, such as collaborative filtering, definition ranking, question answering, multimedia retrieval, text summarization, and online advertisement. Leveraging machine learning technologies in the ranking process has led to innovative and more effective ranking models, and eventually to a completely new research area called “learning to rank”. Liu first gives a comprehensive review of the major approaches to learning to rank. For each approach he presents the basic framework, with example algorithms, and he discusses its advantages and disadvantages. He continues with some recent advances in learning to rank that cannot be simply categorized into the three major approaches – these include relational ranking, query-dependent ranking, transfer ranking, and semisupervised ranking. His presentation is completed by several examples that apply these technologies to solve real information retrieval problems, and by theoretical discussions on guarantees for ranking performance. This book is written for researchers and graduate students in both information retrieval and machine learning. They will find here the only comprehensive description of the state of the art in a field that has driven the recent advances in search engine development. |
| gartner aiops market guide: Trustworthy AI Beena Ammanath, 2022-03-15 An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI. |
| gartner aiops market guide: Debunking Mythology Aditya Satsangi, 2019-05-25 From all Vedas, we have to know Krishna, the Supreme Personality of Godhead. The author,Aditya Satsangi, is the inventor and the copyright owner of the term 'SATTOLOGY'. Sat means truth, Myth means untruth. So, Sattology is the exact antonym of Mythology.All Vedic or Dharmic Scriptures are referred to as Mythology by most residents of Western, and Middle-Eastern countries. This book removes that doubt through a series of articles and is also a political commentary on many current happenings in the world. The reader will generate love and faith in Vedic Literatures as the original thought process of humanity. This book is dedicated to all Hindus, Buddhists, Sikhs, Jains, Ex Muslims, Dharmic Muslims, and any person who has respect for Dharma. My book is dedicated to great people of Syria, Lebanon, Pakistan, Afghanistan, Iran, Iraq, India, Bangladesh, Nepal, Sri Lanka, Thailand, Indonesia, Cambodia, CIS States, China, Mongolia, Japan, Vietnam, Singapore, Malaysia, Indonesia, Polynesian Countries, Fiji, Barbados, Trinidad & Tobago, Canada, USA and to many other countries where Dharmic people live.Hinduism, Hindutva, Buddhism, Chinese Buddhism, Tibetan Buddhism, Taoism, Confucianism, Shinto, Jainism, Sikhism are eternally tied together as pearls of Sanatana Dharma. Sanatana Dharma is the common thread of all these faiths. Dharma is the largest faith of the planet with almost 5 Billion people on the planet. More and more people are joining he Dharma Revolution. Any logical and reasonable brain is a Dharmic brain on the planet.Western historians dismissed the history of their colonies as mythology while upholding their fake histories. Now, the colonies have risen and are claiming their respect and recognition. The first step is to Debunk all Mythology tag. Histories have to be re-written because the facts are now screaming against the tyranny of colonialists. In the series of 10 articles, the author has presented a a thought process which present Dharmic commentary on current happenings. The reader will get hooked on to the contents and the book will invigorate the mind of the reader to demand more. If this books suceeds in invigorating the thought process of intellectual mind in questioning the current history, then author considers himself a success.Current history of the world is written by colonialists, who wanted to suppress the thought process of natives. This book will give renewed confidence in 'Sattology'. |
| gartner aiops market guide: Cisco Software-Defined Access Srilatha Vemula, Jason Gooley, Roddie Hasan, 2020-08-11 The definitive Cisco SD-Access resource, from the architects who train Cisco's own engineers and partners This comprehensive book guides you through all aspects of planning, implementing, and operating Cisco Software-Defined Access (SD-Access). Through practical use cases, you'll learn how to use intent-based networking, Cisco ISE, and Cisco DNA Center to improve any campus network's security and simplify its management. Drawing on their unsurpassed experience architecting solutions and training technical professionals inside and outside Cisco, the authors explain when and where to leverage Cisco SD-Access instead of a traditional legacy design. They illuminate the fundamental building blocks of a modern campus fabric architecture, show how to design a software-defined campus that delivers the most value in your environment, and introduce best practices for administration, support, and troubleshooting. Case studies show how to use Cisco SD-Access to address secure segmentation, plug and play, software image management (SWIM), host mobility, and more. The authors also present full chapters on advanced Cisco SD-Access and Cisco DNA Center topics, plus detailed coverage of Cisco DNA monitoring and analytics. * Learn how Cisco SD-Access addresses key drivers for network change, including automation and security * Explore how Cisco DNA Center improves network planning, deployment, evolution, and agility * Master Cisco SD-Access essentials: design, components, best practices, and fabric construction * Integrate Cisco DNA Center and Cisco ISE, and smoothly onboard diverse endpoints * Efficiently operate Cisco SD-Access and troubleshoot common fabric problems, step by step * Master advanced topics, including multicast flows, Layer 2 flooding, and the integration of IoT devices * Extend campus network policies to WANs and data center networks * Choose the right deployment options for Cisco DNA Center in your environment * Master Cisco DNA Assurance analytics and tests for optimizing the health of clients, network devices, and applications |
| gartner aiops market guide: The Autonomous Enterprise Sarah Burnett, 2022-01-10 With intelligent technology enabling us to boost efficiency and innovation and minimise risks, the case for AI in business grows. Over time, increased adoption of AI in business will give rise to the autonomous enterprise. The autonomous enterprise will turn current organisational models on its head, it will have a workforce of machines that are augmented by humans. The journey to the autonomous enterprise has already begun; organisations need to understand it, learn about the possibilities and the opportunities it presents, and the changes and risks that may come their way with its adoption. This book is your guide to this innovation, setting these concepts into real world context by covering the art of the possible today and providing glimpses into the future of business. |
| gartner aiops market guide: Project to Product Mik Kersten, 2018-11-20 As tech giants and startups disrupt every market, those who master large-scale software delivery will define the economic landscape of the 21st century, just as the masters of mass production defined the landscape in the 20th. Unfortunately, business and technology leaders are woefully ill-equipped to solve the problems posed by digital transformation. At the current rate of disruption, half of S&P 500 companies will be replaced in the next ten years. A new approach is needed. In Project to Product, Value Stream Network pioneer and technology business leader Dr. Mik Kersten introduces the Flow Framework—a new way of seeing, measuring, and managing software delivery. The Flow Framework will enable your company’s evolution from project-oriented dinosaur to product-centric innovator that thrives in the Age of Software. If you’re driving your organization’s transformation at any level, this is the book for you. |
| gartner aiops market guide: Big Data Analysis: New Algorithms for a New Society Nathalie Japkowicz, Jerzy Stefanowski, 2015-12-16 This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges. |
| gartner aiops market guide: Cloud Native Architecture and Design Shivakumar R Goniwada, 2021-10-01 Build enterprise-grade cloud-native systems and learn all about cloud-native architecture and design. This book provides extensive in-depth details of patterns, tools, techniques, and processes with plenty of examples. Cloud Native Architecture and Design begins by explaining the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element. The book progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud. Architecting and designing a cloud-native system isn’t possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance approach across enterprises with the adoption of artificial intelligence. Finally, you need your cloud-native applications to run efficiently; this section covers the details of containerization, orchestration, and virtualization in the public, private, and hybrid clouds. After reading this book, you will have familiarity with the many concepts related to cloud-native and understand how to design and develop a successful cloud-native application. Technologies and practices may change over time, but the book lays a strong foundation on which you can build successful cloud-native systems. What You Will Learn Discover cloud-native principles and patterns, and how you can leverage them to solve your business problems Gain the techniques and concepts you need to adapt to design a cloud-native application Use assessment techniques and tools for IT modernization Apply cloud-native engineering principles to the culture of automation and culture of innovation Harness the techniques and tools to run your cloud-native applications and automate infrastructure Operate your cloud-native applications by using AI techniques and zero operation techniques Who This Book Is For Software architects, leaders, developers, engineers, project managers, and students. |
Gartner是一个什么样的机构？ - 知乎
Gartner（高德纳）成立于1979年，是全球最具权威的IT研究公司，其名头在顾问研究领域，可以说是无人不知无人不晓，在鼓公司拥有 1,200多位世界级分析专家。在全球的IT产业中，Gartner …
Gartner魔力象限为什么会受到重视？ - 知乎
Gartner由Gartner研究与咨询服务、Gartner顾问、Gartner评测、Gartner社区四部分组成，在此我们不做过多阐述。 二维模型阐释公司实力四个象限评判企业差异 最为大家熟知的“Gartner魔 …
如何获取Gartner报告，付费账号怎么申请，年费多少？ - 知乎
其实也能找到一些渠道可以低价获取报告，之前试过以几百块的价格买过Gartner报告（比如技术成熟度曲线等），亲测过，如果需要可以私信我，我有空的情况下尽量传授经验。
普及一下什么是大数据技术？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
IDC研究方向，报告与Gartner 的主要区别是什么？ - 知乎
Gartner数据这块比较弱，分析师团队基本都Base在北美，没有数据相关的常规报告，中国分析师团队规模较小，常规报告都是全球的，基本不划分区域，不接地气。但是技术趋势分析和厂商 …
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
如何评价Gartner 刚发布的2020年 《NDR（网络威胁检测及响 …
问题一、Gartner为什么把原来的《NTA全球市场指南》调整成了《NDR全球市场指南》？ NDR可以看作是NTA的进化版，都属于流量威胁检测设备。 Gartner把原来的NTA调整成NDR的原 …
EDR（终端检测与响应）和传统杀毒软件有什么区别？ - 知乎
EDR，是端点检测与响应(Endpoint Detection & Response，EDR)的缩写，Gartner 于 2013 年定义了这一术语，被认为是一种面向未来的终端解决方案，以端点为基础，结合终端安全大数据 …
如何获得Gartner、iSuppli、IDC之类的原报告？ - 知乎
我有过两种免费获得Gartner报告的经历： 1. 用大学邮箱注册，@unimelb.edu.au 我们学校有部分订阅。（母校威武）你们可以用所在组织邮箱注册一下，说不定订阅了。 2. 去领导者象限的 …
什么是BI，当前国内外BI的现状，BI的应用状况？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
Gartner是一个什么样的机构？ - 知乎
Gartner（高德纳）成立于1979年，是全球最具权威的IT研究公司，其名头在顾问研究领域，可以说是无人不知无人不晓，在鼓公司拥有 1,200多位世界级分析专家。在全球的IT产业中，Gartner …
Gartner魔力象限为什么会受到重视？ - 知乎
Gartner由Gartner研究与咨询服务、Gartner顾问、Gartner评测、Gartner社区四部分组成，在此我们不做过多阐述。 二维模型阐释公司实力四个象限评判企业差异 最为大家熟知的“Gartner魔力 …
如何获取Gartner报告，付费账号怎么申请，年费多少？ - 知乎
其实也能找到一些渠道可以低价获取报告，之前试过以几百块的价格买过Gartner报告（比如技术成熟度曲线等），亲测过，如果需要可以私信我，我有空的情况下尽量传授经验。
普及一下什么是大数据技术？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
IDC研究方向，报告与Gartner 的主要区别是什么？ - 知乎
Gartner数据这块比较弱，分析师团队基本都Base在北美，没有数据相关的常规报告，中国分析师团队规模较小，常规报告都是全球的，基本不划分区域，不接地气。但是技术趋势分析和厂商 …
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
为人熟知的世界权威市场数据调查机构都有哪些？ - 知乎
如何评价Gartner 刚发布的2020年 《NDR（网络威胁检测及响应） …
问题一、Gartner为什么把原来的《NTA全球市场指南》调整成了《NDR全球市场指南》？ NDR可以看作是NTA的进化版，都属于流量威胁检测设备。 Gartner把原来的NTA调整成NDR的原 …
EDR（终端检测与响应）和传统杀毒软件有什么区别？ - 知乎
EDR，是端点检测与响应(Endpoint Detection & Response，EDR)的缩写，Gartner 于 2013 年定义了这一术语，被认为是一种面向未来的终端解决方案，以端点为基础，结合终端安全大数据 …
如何获得Gartner、iSuppli、IDC之类的原报告？ - 知乎
我有过两种免费获得Gartner报告的经历： 1. 用大学邮箱注册，@unimelb.edu.au 我们学校有部分订阅。（母校威武）你们可以用所在组织邮箱注册一下，说不定订阅了。 2. 去领导者象限的 …
什么是BI，当前国内外BI的现状，BI的应用状况？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
