Download or read book AI Native Enterprise written by Yi Zhou and published by Argolong Publishing. This book was released on 2024-01-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The AI Enabled Enterprise written by Vinay Kulkarni and published by Springer Nature. This book was released on 2023-12-17 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Demystifying AI for the Enterprise written by Prashant Natarajan and published by CRC Press. This book was released on 2021-12-30 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Enterprise AI For Dummies written by Zachary Jarvinen and published by John Wiley & Sons. This book was released on 2020-08-17 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book IBM Cloud Pak for Data written by Hemanth Manda and published by Packt Publishing Ltd. This book was released on 2021-11-24 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Ahead in the Cloud written by Stephen Orban and published by Createspace Independent Publishing Platform. This book was released on 2018-03-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Cloud Native AI and Machine Learning on AWS written by Premkumar Rangarajan and published by BPB Publications. This book was released on 2023-02-14 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bring elasticity and innovation to Machine Learning and AI operations KEY FEATURES ● Coverage includes a wide range of AWS AI and ML services to help you speedily get fully operational with ML. ● Packed with real-world examples, practical guides, and expert data science methods for improving AI/ML education on AWS. ● Includes ready-made, purpose-built models as AI services and proven methods to adopt MLOps techniques. DESCRIPTION Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's ML and AI services make it simple and economical to conduct machine learning experiments. This book will show readers how to use the complete set of AI and ML services available on AWS to streamline the management of their whole AI operation and speed up their innovation. In this book, you'll learn how to build data lakes, build and train machine learning models, automate MLOps, ensure maximum data reusability and reproducibility, and much more. The applications presented in the book show how to make the most of several different AWS offerings, including Amazon Comprehend, Amazon Rekognition, Amazon Lookout, and AutoML. This book teaches you to manage massive data lakes, train artificial intelligence models, release these applications into production, and track their progress in real-time. You will learn how to use the pre-trained models for various tasks, including picture recognition, automated data extraction, image/video detection, and anomaly detection. Every step of your Machine Learning and AI project's development process is optimised throughout the book by utilising Amazon's pre-made, purpose-built AI services. WHAT YOU WILL LEARN ● Learn how to build, deploy, and manage large-scale AI and ML applications on AWS. ● Get your hands dirty with AWS AI services like SageMaker, Comprehend, Rekognition, Lookout, and AutoML. ● Master data transformation, feature engineering, and model training with Amazon SageMaker modules. ● Use neural networks, distributed learning, and deep learning algorithms to improve ML models. ● Use AutoML, SageMaker Canvas, and Autopilot for Model Deployment and Evaluation. ● Acquire expertise with Amazon SageMaker Studio, Jupyter Server, and ML frameworks such as TensorFlow and MXNet. WHO THIS BOOK IS FOR Data Engineers, Data Scientists, AWS and Cloud Professionals who are comfortable with machine learning and the fundamentals of Python will find this book powerful. Familiarity with AWS would be helpful but is not required. TABLE OF CONTENTS 1. Introducing the ML Workflow 2. Hydrating the Data Lake 3. Predicting the Future With Features 4. Orchestrating the Data Continuum 5. Casting a Deeper Net (Algorithms and Neural Networks) 6. Iteration Makes Intelligence (Model Training and Tuning) 7. Let George Take Over (AutoML in Action) 8. Blue or Green (Model Deployment Strategies) 9. Wisdom at Scale with Elastic Inference 10. Adding Intelligence with Sensory Cognition 11. AI for Industrial Automation 12. Operationalized Model Assembly (MLOps and Best Practices)

Download or read book Competing in the Age of AI written by Marco Iansiti and published by Harvard Business Press. This book was released on 2020-01-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: "a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Download or read book Transform Your Enterprise with Generative AI written by Rajiv Tulsyan and published by Notion Press. This book was released on 2024-05-17 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: The comprehensive content of the book, “Transforming Business with Generative AI”, unfolds with an in-depth exploration of Generative AI, establishing its transformative potential in the business landscape. Covering key concepts and historical evolution, the book provides a foundation in machine learning, neural networks, and deep learning, tracing the journey from rule-based systems to the contemporary neural network revolution. It highlights the pivotal role of hardware advancements. The author, Rajiv Tulsyan, then delves into the profound impact of Generative AI on businesses, showcasing its applications in automating tasks, content generation, personalization, data analysis, and creative innovation. Real-world case studies, including Netflix's recommendation system and e-commerce product descriptions, illustrate its practical implications across diverse industries. Each chapter incorporates case studies and real-world examples to reinforce theoretical concepts, making the book accessible to both beginners and professionals. The inclusion of future trends and challenges anticipates the evolving landscape of Generative AI. The book, “Transforming Business with Generative AI”, concludes by emphasizing the importance of addressing ethical concerns and staying informed about emerging trends for businesses seeking to fully leverage Generative AI's potential.

Download or read book Modernizing Enterprise Java written by Markus Eisele and published by "O'Reilly Media, Inc.". This book was released on 2021-10-21 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: While containers, microservices, and distributed systems dominate discussions in the tech world, the majority of applications in use today still run monolithic architectures that follow traditional development processes. This practical book helps developers examine long-established Java-based models and demonstrates how to bring these monolithic applications successfully into the future. Relying on their years of experience modernizing applications, authors Markus Eisele and Natale Vinto walk you through the steps necessary to update your organization's Java applications. You'll discover how to dismantle your monolithic application and move to an up-to-date software stack that works across cloud and on-premises installations. Learn cloud native application basics to understand what parts of your organization's Java-based applications and platforms need to migrate and modernize Understand how enterprise Java specifications can help you transition projects and teams Build a cloud native platform that supports effective development without falling into buzzword traps Find a starting point for your migration projects by identifying candidates and staging them through modernization steps Discover how to complement a traditional enterprise Java application with components on top of containers and Kubernetes

Download or read book The Fast Future Blur written by The Fast Future Executive and published by John Wiley & Sons. This book was released on 2024-05-29 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future blurs strategy, business models, technology, work, and leadership — are you ready? Fast Future Blur provides invaluable insights and strategic frameworks to navigate the complexity of our current period of rapid and radical transformation (‘Fast Future’ phase). Focused on the interconnected nature of the evolution underway, the book serves as an eye-opener for business leaders, providing guidance in understanding this dynamic and complex landscape. Fast Future Blur delves into 12 key areas of change, including platform businesses, regenerative innovation, artificial intelligence, the future of healthcare, the future of work, the future of mobility, blockchain, metaverse, virtual & augmented reality, leadership, agility, fintech, and the impact from 6 inter-connections. With compelling, powerful, and timely insights from the Fast Future Executive faculty — a global consortium of experts and industry leaders, many of whom are associated with the World Economic Forum, top business and technology schools and leading global companies — Fast Future Blur is an essential resource to prepare for the complexities of the future.

Download or read book AI for People and Business written by Alex Castrounis and published by O'Reilly Media. This book was released on 2019-07-05 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing—but too many AI initiatives end in failure. With this book, you’ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You’ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book’s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend

Download or read book Enterprise Artificial Intelligence Transformation written by Rashed Haq and published by John Wiley & Sons. This book was released on 2020-06-23 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.

Download or read book Enterprise AI in the Cloud written by Rabi Jay and published by John Wiley & Sons. This book was released on 2023-12-20 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embrace emerging AI trends and integrate your operations with cutting-edge solutions Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You’ll also discover best practices on optimizing cloud infrastructure for scalability and automation. Enterprise AI in the Cloud helps you gain a solid understanding of: AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.

Download or read book Advances in Enterprise Engineering XV written by David Aveiro and published by Springer Nature. This book was released on 2022-07-16 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th Enterprise Engineering Working Conference, EEWC 2021, which was held online on November 12, 2021, and December 16-17, 2021. EEWC aims at addressing the challenges that modern and complex enterprises are facing in a rapidly changing world. The participants of the working conference share a belief that dealing with these challenges requires rigorous and scientific solutions, focusing on the design and engineering of enterprises. The goal of EEWC is to stimulate interaction between the different stakeholders, scientists as well as practitioners, interested in making Enterprise Engineering a reality. The 5 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The volume also contains 2 keynote papers.

Download or read book The AI First Company written by Ash Fontana and published by Penguin. This book was released on 2021-05-04 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a Ph.D. to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems. It's a playbook made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. Whether you're a new online retailer or a Fortune 500 company, Fontana will teach you how to: • Identify the most valuable data; • Build the teams that build AI; • Integrate AI with existing processes and keep it in check; • Measure and communicate its effectiveness; • Reinvest the profits from automation to compound competitive advantage. If the last fifty years were about getting AI to work in the lab, the next fifty years will be about getting AI to work for people, businesses, and society. It's not about building the right software -- it's about building the right AI. The AI-First Company is your guide to winning with artificial intelligence.

Download or read book The AI Advantage written by Thomas H. Davenport and published by MIT Press. This book was released on 2019-08-06 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.