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Author: Pierre Erasmus
Publisher: SAP PRESS
ISBN: 9781493217847
Category : Big data
Languages : en
Pages : 0
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Book Description
This guide to SAP Leonardo shows you how new technologies from machine learning to blockchain intersect with existing processes to transform your business. --
Author: Pierre Erasmus
Publisher: SAP PRESS
ISBN: 9781493217847
Category : Big data
Languages : en
Pages : 0
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Book Description
This guide to SAP Leonardo shows you how new technologies from machine learning to blockchain intersect with existing processes to transform your business. --
Author: Anup Maheshwari
Publisher: John Wiley & Sons
ISBN: 1119540852
Category : Business & Economics
Languages : en
Pages : 401
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Book Description
Building Intelligent Enterprises by leveraging the emerging and next-generation technologies to accelerate the adoption of digital transformation The speed of innovation and emerging IT technologies are changing at a very fast pace and enterprises are eager to join the digital revolution so they can stand above the competition and succeed as the enterprise of tomorrow. This book is an attempt to make the enterprise intelligent by providing the path to digital transformation and the adoption of new IT methods, tools and technologies. This book has been organized to cover the following topics: Digital Transformation, Design Thinking, Agile, DevOps, Robotic Process Automation, Internet of Things, Artificial Intelligence, Machine Learning, Blockchain, Drones, Augmented and Virtual Reality, 3D Printing, Big Data, Analytics, Cloud Computing, APIs, and SAP Leonardo. No prior knowledge of any technical coding or language is necessary to understand the content of this book. End-to-end storyline to accelerate the enterprise’s digital transformation journey How an enterprise can stay relevant, compete, and perform in the digital economy How to leverage these technologies to build intelligent enterprises Understand and apply the emerging technologies across key business processes Industry-specific Use Cases for all technologies as a reference point to build the business case for implementation The book is very well suited towards the C-Suite executives, both IT and business leaders, directors and managers, project managers, solution architects, and all professionals who have an interest and desire to keep up-to-date with the latest technological trends, looking for a career change, want to help enterprise adapt and onboard the digital roadmap, or have an agenda to digitize key processes within the enterprise to make it intelligent.
Author: Felix Weber
Publisher: Springer Nature
ISBN: 365837599X
Category : Computers
Languages : en
Pages : 146
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Book Description
While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitalization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies.Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods.This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. This book is a translation of the original German 1st edition Künstliche Intelligenz für Business Analytics by Felix Weber, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
Author: Bernd Welz
Publisher: Springer
ISBN: 3319725742
Category : Business & Economics
Languages : en
Pages : 80
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Book Description
This book presents SAP Next-Gen, an innovation community for SAP Leonardo. It is intended for next generation business leaders, Chief Digital Officers, Chief Innovation Officers, Chief Information Officers and IT professionals who are defining the vision, strategy, technologies and organizational changes needed to drive their exponential enterprise and to innovate with purpose. The book opens with an introduction to turning bold ideas into reality with a purpose-driven mindset supporting the 17 United Nations Global Goals. Part 1 focuses on what’s at stake including Digital - The New Normal, Exponential Growth, and Innovation in the 21st century. Part 2 introduces readers to the SAP Next-Gen matchmaking model, and readers are invited to join SAP Next-Gen clubs for industries, technologies, and methodologies. Readers also learn about the Silicon Valleys of the world, make vs. buy vs. join, and where to learn more and get engaged with SAP Next-Gen. SAP Next-Gen is an innovation community for SAP Leonardo supporting SAP’s 355,000+ customers across 25 industries in 180+ countries. SAP Next-Gen enables customers and partners to connect with academic thought leaders, researchers, and students in the SAP Next-Gen network of 3,200+ educational institutions across 111 countries worldwide, as well as with startups, tech community partners, venture firms, purpose driven partners, and SAP experts.
Author: Frederik Ahlemann
Publisher: Springer Nature
ISBN: 3030868001
Category : Computers
Languages : en
Pages : 704
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Book Description
This book presents the current state of research in information systems and digital transformation. Due to the global trend of digitalization and the impact of the Covid 19 pandemic, the need for innovative, high-quality research on information systems is higher than ever. In this context, the book covers a wide range of topics, such as digital innovation, business analytics, artificial intelligence, and IT strategy, which affect companies, individuals, and societies. This volume gathers the revised and peer-reviewed papers on the topic "Management" presented at the International Conference on Information Systems, held at the University of Duisburg-Essen in 2021.
Author: Wolfgang Kuhn
Publisher: World Scientific
ISBN: 9811200750
Category : Computers
Languages : en
Pages : 248
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Book Description
Digitalization is changing nearly everything. This compendium highlights a comprehensive understanding of the concepts and technologies about digitalization in industrial environments, using the Industrial Internet of Things, Digital Twins and data-driven decision-making approaches including Artificial Intelligence.The overview of industrial enterprise platforms and the consideration of future trends gives a fundamental idea of concepts and strategies, how to get started and about the required changes of business models.
Author: Shiho Kim
Publisher: Springer Nature
ISBN: 9811387753
Category : Technology & Engineering
Languages : en
Pages : 285
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Book Description
This contributed volume discusses diverse topics to demystify the rapidly emerging and evolving blockchain technology, the emergence of integrated platforms and hosted third-party tools, and the development of decentralized applications for various business domains. It presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of as well as the hindrances to this technology.
Author: Patanjali Kashyap
Publisher: Apress
ISBN: 1484229886
Category : Computers
Languages : en
Pages : 381
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Book Description
Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. What You Will Learn Discover the machine learning, big data, and cloud and cognitive computing technology stack Gain insights into machine learning concepts and practices Understand business and enterprise decision-making using machine learning Absorb machine-learning best practices Who This Book Is For Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.
Author: Errol S. van Engelen
Publisher: Business Expert Press
ISBN: 1952538114
Category : Business & Economics
Languages : en
Pages : 140
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Book Description
The convergence of blockchain and Internet of things (IoT) powered by data and artificial intelligence (AI) is on the agenda of several big companies and some of them have already started using its implementations, initiatives, and solutions in various projects. In this book, the author calls the convergence of these three technologies: the blockchain of intelligent things. This book is targeted to help a broad audience, including anyone interested in and responsible for vision, projects, and implementations of blockchain, IoT, and AI in medium-sized companies and large enterprises. This would include business and technology managers, IT professionals, and last but not least, business or technology students, looking to broadening their knowledge and expertise. This book is number two in a series of four books. The first chapters of the book take you from the convergence of blockchain and IoT, via an overview of the most important blockchain of things projects such as IOTA, and the industries, which are heavily being disrupted, into the blockchain of intelligent things, which essentially adds the business value of data science and AI. Further topics you will find in this book include chapters such as required skills, jobs and future, industrial IoT (IIoT) platforms, and opportunities, challenges, and trends of the blockchain of intelligent things. Readers looking for a methodology to engage in blockchain, IoT, and/or AI projects, can find a comprehensive description in my previous book New World Technologies: 2020 and Beyond.
Author: Denise Banks-Grasedyck
Publisher: Springer Nature
ISBN: 3030860841
Category : Business & Economics
Languages : en
Pages : 365
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Book Description
The book describes the complete project process in individual steps for SAP S/4HANA project management based on the SAP ACTIVATE implementation methodology. By imparting knowledge based on experience with real SAP projects, the book supports project managers in developing skills and qualifications that will lead them to the successful management of SAP projects. In this context it emphasizes the crucial role of human interaction from the start to the successful completion of projects and provides useful tips on how to recognize and avoid pitfalls. Enriched with a wide range of material such as templates, checklists and practical examples, the book provides concrete guidance for project managers and participants on how to successfully manage ongoing projects. The book is valuable for both beginners and experienced project managers and also gives decision makers and stakeholders an excellent insight into the planning and management of large projects.
