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AI Native Enterprise

AI Native Enterprise
Author: Yi Zhou
Publisher: Argolong Publishing
Total Pages: 0
Release: 2024-01-27
Genre: Business & Economics
ISBN:
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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

The AI-Enabled Enterprise
Author: Vinay Kulkarni
Publisher: Springer Nature
Total Pages: 144
Release: 2023-12-17
Genre: Computers
ISBN: 3031290534
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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.

Demystifying AI for the Enterprise

Demystifying AI for the Enterprise
Author: Prashant Natarajan
Publisher: CRC Press
Total Pages: 465
Release: 2021-12-30
Genre: Computers
ISBN: 1351032925
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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.

Enterprise AI For Dummies

Enterprise AI For Dummies
Author: Zachary Jarvinen
Publisher: John Wiley & Sons
Total Pages: 352
Release: 2020-08-17
Genre: Business & Economics
ISBN: 1119696380
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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.

IBM Cloud Pak for Data

IBM Cloud Pak for Data
Author: Hemanth Manda
Publisher: Packt Publishing Ltd
Total Pages: 337
Release: 2021-11-24
Genre: Computers
ISBN: 1800567405
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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.

Ahead in the Cloud

Ahead in the Cloud
Author: Stephen Orban
Publisher: Createspace Independent Publishing Platform
Total Pages: 334
Release: 2018-03-27
Genre:
ISBN: 9781981924318
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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.

Cloud Native AI and Machine Learning on AWS

Cloud Native AI and Machine Learning on AWS
Author: Premkumar Rangarajan
Publisher: BPB Publications
Total Pages: 366
Release: 2023-02-14
Genre: Computers
ISBN: 9355513267
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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)

The Fast Future Blur

The Fast Future Blur
Author: The Fast Future Executive
Publisher: John Wiley & Sons
Total Pages: 327
Release: 2024-05-29
Genre: Business & Economics
ISBN: 1394220421
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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.

Transform Your Enterprise with Generative AI

Transform Your Enterprise with Generative AI
Author: Rajiv Tulsyan
Publisher: Notion Press
Total Pages: 95
Release: 2024-05-17
Genre:
ISBN:
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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.

Advances in Enterprise Engineering XV

Advances in Enterprise Engineering XV
Author: David Aveiro
Publisher: Springer Nature
Total Pages: 174
Release: 2022-07-16
Genre: Computers
ISBN: 3031115201
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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.