In today's world, where artificial intelligence (AI) is everywhere, shaping every facet of our lives and businesses, "AI Native Enterprise" emerges as an indispensable guide for visionary leaders seeking to navigate the journey towards integrating AI at the heart of their business strategy. This book advocates for AI-Native thinking, a transformative approach that embeds AI into the very DNA of business, marking a shift towards next-generation enterprises. With insights drawn from analyzing over 500 business cases across most industries and organizational functions, it offers a rich, data-backed exploration of opportunities and challenges of becoming an AI-native leader. Harnessing the Transformative Power of Generative AI "AI Native Enterprise" delves into the revolutionary impact of Generative AI (GenAI), showcasing its role in redefining competitive landscapes, reshaping business models, and establishing new paradigms for growth and innovation. With AI everywhere, the book underscores the importance of embracing AI-native thinking to tackle digital age challenges, encompassing ethical considerations, governance complexities, and the imperative for a profound cultural shift towards AI integration. Strategic Frameworks and Practical Insights from a Broad Spectrum of Real-World Business Cases Through strategic frameworks like the AI Business Value Octagon, the book empowers leaders to assess and leverage AI's strategic impact effectively. It navigates through the Total Cost of Ownership (TCO), Return on Investment (ROI), Return on Experience (ROE), and introduces a comprehensive AI Risk Mitigation Framework, equipping leaders with the necessary tools for informed decision-making and responsible AI deployment. Engaging case studies provide actionable insights for spearheading AI-powered business transformation in an era where AI is everywhere. Who Will Benefit from This Book? "AI Native Enterprise" is tailored for a diverse audience eager to spearhead the transformation into AI-native enterprises. Executives, board members, and business leaders across industries will find invaluable guidance on leveraging AI to craft the new business DNA. Investors will discover insights into capitalizing on AI-driven opportunities. Technical leaders, including CTOs and CIOs, will gain a deep understanding of AI integration challenges and solutions. Business strategists and transformation leaders will learn about cutting-edge strategies for next-generation businesses. AI professionals, academic luminaries, and scholars-in-the-making will explore advanced concepts and the latest in AI research. In essence, this book is a must-read for anyone passionate about pioneering AI-powered business transformation. Embark on Your AI Transformation Journey The book lays out a visionary roadmap for organizations ready to embrace the AI-everywhere paradigm. It calls for a strategic shift to AI-Native thinking, guiding readers through intricacies of AI integration for achieving unparalleled success. Start your journey towards transforming your organization into an AI-native enterprise today and lead your business into a new era of pervasive innovation and growth. This book is your gateway to becoming a frontrunner in the AI-powered future.

The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time. This book discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise: the role of digital twins in evidence-backed design, enterprise cartography that goes far beyond process mining, decision-making in the face of uncertainty, software architecture for continuous adaptation, democratized knowledge-guided software development enabling coordinated design, low code versus no code, and coherent design. For each challenge, the book proposes a line of attack along with the associated enabling technology and illustrates the same through a near real world use case.

Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Master the application of artificial intelligence in your enterprise with the book series trusted by millions In Enterprise AI For Dummies, author Zachary Jarvinen simplifies and explains to readers the complicated world of artificial intelligence for business. Using practical examples, concrete applications, and straightforward prose, the author breaks down the fundamental and advanced topics that form the core of business AI. Written for executives, managers, employees, consultants, and students with an interest in the business applications of artificial intelligence, Enterprise AI For Dummies demystifies the sometimes confusing topic of artificial intelligence. No longer will you lag behind your colleagues and friends when discussing the benefits of AI and business. The book includes discussions of AI applications, including: Streamlining business operations Improving decision making Increasing automation Maximizing revenue The For Dummies series makes topics understandable, and as such, this book is written in an easily understood style that's perfect for anyone who seeks an introduction to a usually unforgiving topic.

Cloud computing is the most significant technology development of our lifetimes. It has made countless new businesses possible and presents a massive opportunity for large enterprises to innovate like startups and retire decades of technical debt. But making the most of the cloud requires much more from enterprises than just a technology change. Stephen Orban led Dow Jones's journey toward digital agility as their CIO and now leads AWS's Enterprise Strategy function, where he helps leaders from the largest companies in the world transform their businesses. As he demonstrates in this book, enterprises must re-train their people, evolve their processes, and transform their cultures as they move to the cloud. By bringing together his experiences and those of a number of business leaders, Orban shines a light on what works, what doesn't, and how enterprises can transform themselves using the cloud.

Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key FeaturesExplore data virtualization by accessing data in real time without moving itUnify the data and AI experience with the integrated end-to-end platformExplore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scaleBook Description Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise. What you will learnUnderstand the importance of digital transformations and the role of data and AI platformsGet to grips with data architecture and its relevance in driving AI adoption using IBM's AI LadderUnderstand Cloud Pak for Data, its value proposition, capabilities, and unique differentiatorsDelve into the pricing, packaging, key use cases, and competitors of Cloud Pak for DataUse the Cloud Pak for Data ecosystem with premium IBM and third-party servicesDiscover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVsWho this book is for This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM's Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.

"The Business Transformation Playbook: Enterprise AI" is your comprehensive guide to navigating the dynamic world of artificial intelligence and harnessing its transformative power for your business. This book offers a structured approach to AI implementation, ensuring you're well-prepared to revolutionize your business processes with the latest AI technologies. In the opening chapters, you'll explore the evolution of AI, gaining historical context and insights into the key milestones that have shaped the field. Discover the compelling business case for AI, including the advantages it brings and how it creates a competitive edge across various industries. Chapter 2 delves into the core AI technologies, including Machine Learning, Deep Learning, and Natural Language Processing. Understand the basics, real-world applications, and the potential of these cutting-edge tools. Data preparation is a critical component of successful AI integration, and Chapter 3 provides a deep dive into data collection, storage, preprocessing, and data quality, ensuring your foundation is solid. As you progress through the book, you'll learn how to build AI models, choose the right algorithms, and effectively train and test your models, avoiding common pitfalls like overfitting and underfitting. Chapter 5 is dedicated to implementing AI in your business processes, including identifying use cases, integrating AI with existing systems, and the development of AI-driven solutions. Privacy and ethics are addressed in Chapter 6, ensuring that your AI initiatives align with regulatory compliance and ethical standards. AI operations and maintenance, as discussed in Chapter 7, offer insights into model deployment, monitoring, maintenance, and scalability, allowing your AI systems to evolve and thrive. Measuring the impact of AI is a key focus in Chapter 8, with a comprehensive exploration of key performance indicators and calculating return on investment. Chapter 9 provides real-world case studies and best practices, offering valuable lessons from successful AI implementations and recommendations for avoiding common pitfalls. Chapter 10 peers into the future of AI in business, highlighting emerging trends and the need for adaptability and innovation in the evolving landscape. Finally, in Chapter 11, you'll find a recap of key takeaways and an action plan, enabling you to create a strategy for implementing AI effectively in your business. "The Business Transformation Playbook: Enterprise AI" is your go-to resource for successfully implementing AI, ensuring your business remains competitive and adaptable in an ever-changing world.