Is digitalization a value-added approach? Global leaders believe so, and this book reveals how to digitally transform your business model and compete in today’s economy. It presents a roadmap consisting of five phases; Digital Reality, Digital Ambition, Digital Potential, Digital Fit, and Digital Implementation, each with step-by-step instructions as well as innovative activities and tools. This is a timely book offering professionals a concise, tried-and-trusted guide to the digital transformation of business models.

Transforming our organizations to compete and thrive in today’s digital age requires a combination of “old world thinking” of quality and differentiation and “new world thinking” of meeting your market where it wants to be. But making your organization “digital” is a lot more than creating a compelling mobile app and moving to the cloud. To thrive in the new marketplace, you must think and act differently. In this leader’s guide to digital transformation, you’ll get practical, actionable information on building an employee and customer-obsessed culture that drives speed and efficiency while leveraging technology to sell better products and services. The guide will teach you how to: understand, articulate, and analyze the value you offer customers; get development and operations to work better together; persuade employees to do things differently; and solve problems in new and creative ways. Whether you work for a small, medium-sized, or large organization, you’ll get meaningful guidance on overcoming obstacles that thwart success by learning from others.

Digital Transformation has become the mantra for many businesses big and small in the last few years with the Covid19 pandemic accelerating such transformations for many organizations. Competitive pressures, higher customer expectations, and prospects of revenue growth are the key drivers for many of these digital initiatives. Various emerging technologies such as Cloud Computing, Machine Learning, Artificial Intelligence, Internet of Things (IoT) and Blockchain are key contributors to these digital transformations.If you are in a CxO role (CIO, CTO. CDO, et. al) for an organization and are responsible for the Digital Transformation of your organization, then this book is for you. This book can be used as a reference guide by the CxO to understand the basic concepts of Digital Transformation along with the fundamentals of various key emerging technologies. The book provides examples of services and tools from Microsoft Azure Cloud to help you harness these technologies to enable your digital transformation scenarios. Throughout the book we have also included industry statistics, expert opinions, business use cases, and customer stories. The book is organized into the following chapters to help you learn in a systematic way: Chapter 1: Digital TransformationThis chapter provides an introduction and overview of Digital Transformation including the What, Why, Who and the How of transformation via digital technologies. We also outline of the best practices for successful execution of your transformation initiatives, review key challenges, and reasons for digital transformation failures. Chapter 2: Cloud ComputingThis chapter outlines Cloud Computing history, core concepts and benefits. Cloud deployment and service models are introduced and discussed in detail. Considerations for transforming legacy IT to Cloud are discussed along with challenges and outlook of Cloud computing. Chapter 3: Azure Cloud ServicesThis chapter dives specifically into Microsoft Azure Cloud and outlines the key services and tools it offers. Basic Azure IaaS, PaaS and DBaaS services are introduced and discussed. Key and emerging Cloud services including serverless, containers and hybrid Cloud are described along with their benefits and business use cases. Chapter 4: Machine LearningMachine learning is introduced along with its core concepts around data, algorithms, models, training, and deployment. Azure Machine Learning tools and services are discussed to help you understand how you can use them to realize your Machine learning scenarios. This chapter concludes with an overview at the challenges and the future of Machine learning.Chapter 5: Artificial IntelligenceThis chapter explores Artificial Intelligence, it benefits and business use cases. Azure AI platform services available are explored such as Azure Cognitive services, Bot services, Cognitive Search services and Databricks services. AI challenges section looks at primary business and AI domain specific hurdles and issues. Chapter concludes with an outlook of AI with discussion around AI governance, Responsible AI, and Technical Advancements in AI. Chapter 6: Internet of Things (IoT)This chapter reviews the basics of Internet of Things (IoT), its business value, and use cases. Various Azure IoT offerings and services are explored to get you started with it. Azure IoT SaaS solution, IoT Central, is reviewed to see how it can be utilized to build a no-code IoT solution along with building customized solutions. Chapter concludes with IoT challenges and the future of this technology. Chapter 7: BlockchainOverview of Blockchain and its business uses for various industries. Enterprise Blockchain is discussed in detail and Azure Blockchain services are introduced and how they can be used for enterprise scenarios. Chapter also explores various challenges this technology faces along with where this technology is heading in the future.

Your Complete Guide to Digital Transformation A Field Guide to Digital Transformation is the definitive book on digital transformation. Top-selling IT author Thomas Erl and long-time practitioner Roger Stoffers combine to provide comprehensive, yet easy-to-understand coverage of essential digital transformation concepts, practices, and technologies in the format of a plain-English tutorial written for any IT professionals, students, or decision-makers. With more than 160 diagrams, this guide provides a highly visual exploration of what digital transformation is, how it works, and the techniques and technologies required to successfully build modern-day digital transformation solutions. Learn from the experts and: Discover what digital transformation is, why it emerged and when to apply it Identify the significant business benefits that successful digital transformations can deliver and how to turn your organization into a “disruptive” force Prepare for and overcome the common challenges associated with digital transformation initiatives Understand the data-driven nature of digital transformation solutions and how they use and continually accumulate data intelligence Understand how digital transformation solutions can utilize AI technology for intelligent automated decision-making Gain insight into customer-centricity and how its practices are applied as part of digital transformations Explore key digital transformation automation technologies, such as Robotic Process Automation (RPA), Internet of Things (IoT), Blockchain. and Cloud Computing Explore key digital transformation data science technologies, such as Artificial Intelligence (AI), Machine Learning, and Big Data Analysis and Analytics The book concludes with a uniquely detailed and highly visual real-world business scenario that provides step-by-step insights into how a digital transformation solution works, how it utilizes data intelligence to improve customer relationship building, and how it collects new data intelligence in support of enhancing future business capabilities.

Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. IBM Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage, and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments. This IBM Redbooks® publication explains the key concepts of systems of insight and how to implement a system of insight solution with examples. It is intended for IT architects and professionals who are responsible for implementing a systems of insights solution requiring event-based context pattern detection and deterministic decision services to enhance other analytics solution components with IBM Operational Decision Manager Advanced.

The extreme transformation from a traditional Communication Service Provider (CSP) to a Digital Service Provider (DSP) status is covered in this book, specifically: Redefinition of the offerings of "connectivity services" to "digital services"; unification of legacy redundant networks into one; Redefinition of the measurements to customer-centric QoE for all digital and connectivity services; the Best-in-Industry processes and practices to ensure a sustainable network performance at a competitively operational efficiency; a Service-over-IP (SoIP) platform to enable the introduction of unified new services with a time-to-market urgency; the regulatory arrangement for content purification, to liberalize CSPs to become DSPs; an architecture for data mining and analytics; and a migration plan from a CSP to a DSP status. The book is recommended for telecom and digital service professionals planning to embark on transformational projects; telecom and technology equipment manufacturers to help with product development for a DSP status; institutional investors to evaluate and establish their investment decisions; telecom management consultants to help with a solid benchmark for transformation engagement; university students, majoring in telecommunication and technology products as a guide for career planning.