[PDF] Advanced Ai And Ml Integrated Network Transformation Models Neural Architectures For Building Resilient And Scalable Infrastructures In A Digital Economy - eBooks Review

Advanced Ai And Ml Integrated Network Transformation Models Neural Architectures For Building Resilient And Scalable Infrastructures In A Digital Economy


Advanced Ai And Ml Integrated Network Transformation Models Neural Architectures For Building Resilient And Scalable Infrastructures In A Digital Economy
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Advanced Ai And Ml Integrated Network Transformation Models Neural Architectures For Building Resilient And Scalable Infrastructures In A Digital Economy


Advanced Ai And Ml Integrated Network Transformation Models Neural Architectures For Building Resilient And Scalable Infrastructures In A Digital Economy
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Author : Venkata Bhardwaj Komaragiri
language : en
Publisher: Global Pen Press UK
Release Date :

Advanced Ai And Ml Integrated Network Transformation Models Neural Architectures For Building Resilient And Scalable Infrastructures In A Digital Economy written by Venkata Bhardwaj Komaragiri and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


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Artificial Intelligence In Society


Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.


The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.



Cognitive Hyperconnected Digital Transformation


Cognitive Hyperconnected Digital Transformation
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Author : Ovidiu Vermesan
language : en
Publisher: River Publishers
Release Date : 2017-06-23

Cognitive Hyperconnected Digital Transformation written by Ovidiu Vermesan and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-23 with Computers categories.


Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex info



Competing In The Age Of Ai


Competing In The Age Of Ai
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Author : Marco Iansiti
language : en
Publisher: Harvard Business Press
Release Date : 2020-01-07

Competing In The Age Of Ai written by Marco Iansiti and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Business & Economics categories.


"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.



Artificial Neural Network Modelling


Artificial Neural Network Modelling
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Author : Subana Shanmuganathan
language : en
Publisher: Springer
Release Date : 2016-02-03

Artificial Neural Network Modelling written by Subana Shanmuganathan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-03 with Technology & Engineering categories.


This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.



The Digital Transformation Of Smes


The Digital Transformation Of Smes
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Author : Oecd
language : en
Publisher: Org. for Economic Cooperation & Development
Release Date : 2021-02-12

The Digital Transformation Of Smes written by Oecd and has been published by Org. for Economic Cooperation & Development this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-12 with categories.




Automated Planning


Automated Planning
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Author : Malik Ghallab
language : en
Publisher: Elsevier
Release Date : 2004-05-03

Automated Planning written by Malik Ghallab and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-03 with Business & Economics categories.


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Electronic Components And Systems


Electronic Components And Systems
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Author : W. H. Dennis
language : en
Publisher: Elsevier
Release Date : 2013-10-22

Electronic Components And Systems written by W. H. Dennis and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Technology & Engineering categories.


Electronic Components and Systems focuses on the principles and processes in the field of electronics and the integrated circuit. Covered in the book are basic aspects and physical fundamentals; different types of materials involved in the field; and passive and active electronic components such as capacitors, inductors, diodes, and transistors. Also covered in the book are topics such as the fabrication of semiconductors and integrated circuits; analog circuitry; digital logic technology; and microprocessors. The monograph is recommended for beginning electrical engineers who would like to know the fundamental concepts, theories, and processes in the related fields.



Artificial Intelligence And International Economic Law


Artificial Intelligence And International Economic Law
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Author : Shin-yi Peng
language : en
Publisher: Cambridge University Press
Release Date : 2021-10-14

Artificial Intelligence And International Economic Law written by Shin-yi Peng and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-14 with Computers categories.


Examines the interplay between artificial intelligence and international economic law, and its effects on global economic order. This title is also available as Open Access.



Structural Dynamics And Resilience In Supply Chain Risk Management


Structural Dynamics And Resilience In Supply Chain Risk Management
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Author : Dmitry Ivanov
language : en
Publisher: Springer
Release Date : 2017-11-07

Structural Dynamics And Resilience In Supply Chain Risk Management written by Dmitry Ivanov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-07 with Business & Economics categories.


This book offers an introduction to structural dynamics, ripple effect and resilience in supply chain disruption risk management for larger audiences. In the management section, without relying heavily on mathematical derivations, the book offers state-of-the-art concepts and methods to tackle supply chain disruption risks and designing resilient supply chains in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering background. In the technical section, the book constitutes structural dynamics control methods for supply chain management. Real-life problems are modelled and solved with the help of mathematical programming, discrete-event simulation, optimal control theory, and fuzzy logic. The book derives practical recommendations for management decision-making with disruption risk in the following areas: How to estimate the impact of possible disruptions on performance in the pro-active stage? How to generate efficient and effective stabilization and recovery policies? When does one failure trigger an adjacent set of failures? Which supply chain structures are particular sensitive to ripple effect? How to measure the disruption risks in the supply chain?