Machine Learning And Cognition In Enterprises

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Machine Learning and Cognition in Enterprises

Author : Rohit Kumar
Publisher : Apress
ISBN 13 : 1484230698
Total Pages : 321 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Machine Learning and Cognition in Enterprises by : Rohit Kumar

Download or read book Machine Learning and Cognition in Enterprises written by Rohit Kumar and published by Apress. This book was released on 2017-11-13 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial intelligence started and how cognitive computing developed out of it. He'll explain every aspect of machine learning in detail, the reasons for changing business models to adopt it, and why your business needs it. Along the way you'll become comfortable with the intricacies of natural language processing, predictive analytics, and cognitive computing. Each technique is covered in detail so you can confidently integrate it into your enterprise as it is needed. This practical guide gives you a roadmap for transformin g your business with cognitive computing, giving you the ability to work confidently in an ever-changing enterprise environment. What You'll Learn See the history of AI and how machine learning and cognitive computing evolved Discover why cognitive computing is so important and why your business needs it Master the details of modern AI as it applies to enterprises Map the path ahead in terms of your IT-business integration Avoid common road blocks in the process of adopting cognitive computing in your business Who This Book Is For Business managers and leadership teams.

Artificial Intelligence and Computing Logic

Author : Cyrus F. Nourani
Publisher : CRC Press
ISBN 13 : 1000400654
Total Pages : 286 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence and Computing Logic by : Cyrus F. Nourani

Download or read book Artificial Intelligence and Computing Logic written by Cyrus F. Nourani and published by CRC Press. This book was released on 2021-12-22 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.

Cognitive Computing and Big Data Analytics

Author : Judith S. Hurwitz
Publisher : John Wiley & Sons
ISBN 13 : 1118896637
Total Pages : 311 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Cognitive Computing and Big Data Analytics by : Judith S. Hurwitz

Download or read book Cognitive Computing and Big Data Analytics written by Judith S. Hurwitz and published by John Wiley & Sons. This book was released on 2015-02-12 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Artificial Intelligence

Author : Harvard Business Review
Publisher : HBR Insights
ISBN 13 : 9781633697898
Total Pages : 160 pages
Book Rating : 4.6/5 (978 download)

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Book Synopsis Artificial Intelligence by : Harvard Business Review

Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Author : Krishna Kant Singh
Publisher : John Wiley & Sons
ISBN 13 : 1119640369
Total Pages : 272 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks by : Krishna Kant Singh

Download or read book Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks written by Krishna Kant Singh and published by John Wiley & Sons. This book was released on 2020-07-08 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Challenges and Applications of Data Analytics in Social Perspectives

Author : Sathiyamoorthi, V.
Publisher : IGI Global
ISBN 13 : 179982568X
Total Pages : 324 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Challenges and Applications of Data Analytics in Social Perspectives by : Sathiyamoorthi, V.

Download or read book Challenges and Applications of Data Analytics in Social Perspectives written by Sathiyamoorthi, V. and published by IGI Global. This book was released on 2020-12-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

Developing Relationships, Personalization, and Data Herald in Marketing 5.0

Author : Kaur, Jasmine
Publisher : IGI Global
ISBN 13 : 1668444984
Total Pages : 327 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Developing Relationships, Personalization, and Data Herald in Marketing 5.0 by : Kaur, Jasmine

Download or read book Developing Relationships, Personalization, and Data Herald in Marketing 5.0 written by Kaur, Jasmine and published by IGI Global. This book was released on 2022-06-24 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the past decade, marketing has experienced three major challenges: generation gap, prosperity polarization, and digital divide. The disconnect between older corporate executives and their younger managers and customers has proven to be a significant challenge. Digitalization brings fear of the unknown with the threats of job loss and privacy concerns. However, it also brings the promise of exponential growth and better living for humanity. Businesses must break the divide to ensure that technological advancement will move forward and not be welcomed with resentment. Developing Relationships, Personalization, and Data Herald in Marketing 5.0 contrasts the advantages and disadvantages of modern marketing over traditional marketing and focuses on identifying how companies and society can be benefited by the technological advancement of marketing. Covering topics such as customer engagement, neuromarketing, and review rating prediction, this premier reference source is an essential resource for business leaders, marketing professionals, students and educators of higher education, university libraries, researchers, and academicians.

Machine Learning Guide

Author : Simone Capostagno
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781722486143
Total Pages : 44 pages
Book Rating : 4.4/5 (861 download)

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Book Synopsis Machine Learning Guide by : Simone Capostagno

Download or read book Machine Learning Guide written by Simone Capostagno and published by Createspace Independent Publishing Platform. This book was released on 2018-07-05 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Guide: A Practical Approach for Businesses Description Artificial intelligence is a growing field with many possibilities extending in many directions. Artificial intelligence encompasses many terms you may have heard and terms that we will be covering in this book like deep learning, neural networks, and machine learning. Sometimes we hear doubts out there that artificial intelligence will never be as good as humans are at navigating the choices and actions of other humans, but that is not always the case. Some systems are already at levels that perform better than humans, and while reading people can be hard, it's all based on perception and cognition-two of the areas in which machine learning are continuing to expand and strengthen around. Machine learning for competitive advantage As there is a difference between acting as a friend and passively assessing someone's mental or emotional state and attempting to actively change that state, machine learning systems are powerful at figuring out the problems that it should work on solving next and persuade others to work on these problems and implement the solutions the system suggests. Companies that are thriving have embraced the trend of putting machine learning to work for them in all of the places that are appropriate, and in all of the places where the system can effectively integrate into the business. Those who cannot seem to let go of the past will find themselves at a competitive disadvantage to those who are willing to accept machine learning. Artificial Intelligence, the most important technology of our era It has been stated in The Harvard Business Review that "artificial intelligence, especially machine learning, is the most important general-purpose technology of our era. The impact of these innovations on business and the economy will be reflected not only in their direct contributions but also in their ability to enable and inspire complementary innovations. New products and processes are being made possible by better vision systems, speech recognition, intelligent problem solving, and many other capabilities that machine learning delivers." Similar to Charles Darwin's survival of the fittest theory, those companies that adapt with the time will thrive and continue to see opportunities to use machine learning. In this book, we will discuss what machine learning is, how you can apply it to your business today, and how it can be used to quickly and accurately use the systems to trade stocks. Machine learning for business No longer a niche subfield of the rapidly growing field of computer science, artificial intelligence has been used for years by tech giants Amazon, Google, Facebook, Instagram, and Twitter. Understanding algorithms involved in machine learning is starting to become a much sought after business skills that can be applied to a business to identifying problems, giving feedback on outputs, and looking for algorithmic success based on the right set of objectives. Could machine learning be useful to you or your organization? Ask yourself if the answer you want is to be agreed upon by ten of your friends or colleagues. If a group of humans can't come to an agreement on if something is right or wrong, it is hard to expect a computer to be able to reliably take our judgment calls and calculate them into some kind of statistical pattern.

AI Meets BI

Author : Lakshman Bulusu
Publisher : CRC Press
ISBN 13 : 1000281930
Total Pages : 220 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis AI Meets BI by : Lakshman Bulusu

Download or read book AI Meets BI written by Lakshman Bulusu and published by CRC Press. This book was released on 2020-11-03 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business. Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources. With the advent of AI, BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models. The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making. Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.

Machine Learning and Cognitive Computing

Author : Ajay Bhilegaonkar
Publisher :
ISBN 13 :
Total Pages : 80 pages
Book Rating : 4.:/5 (974 download)

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Book Synopsis Machine Learning and Cognitive Computing by : Ajay Bhilegaonkar

Download or read book Machine Learning and Cognitive Computing written by Ajay Bhilegaonkar and published by . This book was released on 2016 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Cognitive Computing universe is buzzing again. Recent significant events are special. There is also talk about beginning of a general purpose "Smart Machine Age" Advances in computing power, storage capacity and machine learning / cognitive computing technologies have a gained critical mass. This combination is driving significant growth and heavy investments. Cognitive computing is coming of age, the market is experiencing exponential growth and there are literally thousands of startups competing to seize the opportunities and hundreds of products hitting the market every quarter. Businesses definitely need to pay attention. But for a business professional, there is so much happening out there that, it is extremely hard to decide which way to turn. CC/ML opportunities may have huge potential to improve business performance or there may be opportunities to waste money. This is a major concern for large businesses and business professionals. This thesis aims to develop an end to end framework to navigate CC/ML opportunities. The framework will guide a business professional to navigate the complex landscape of CC/ML and arrive at a solution approach recommendation.

Handbook Of Digital Enterprise Systems: Digital Twins, Simulation And Ai

Author : Wolfgang Kuhn
Publisher : World Scientific
ISBN 13 : 9811200750
Total Pages : 248 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Handbook Of Digital Enterprise Systems: Digital Twins, Simulation And Ai by : Wolfgang Kuhn

Download or read book Handbook Of Digital Enterprise Systems: Digital Twins, Simulation And Ai written by Wolfgang Kuhn and published by World Scientific. This book was released on 2019-06-04 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Operationalizing Multi-Cloud Environments

Author : Rajganesh Nagarajan
Publisher : Springer Nature
ISBN 13 : 3030744027
Total Pages : 388 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Operationalizing Multi-Cloud Environments by : Rajganesh Nagarajan

Download or read book Operationalizing Multi-Cloud Environments written by Rajganesh Nagarajan and published by Springer Nature. This book was released on 2021-09-17 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various aspects of the multi-cloud paradigm. The initial portion of the book focuses on the motivations for the industry to embrace a multi-cloud option and the distinct business, technology, and user cases of multi-cloud implementations. The middle part of the book explains the challenges of setting up and sustaining multi-cloud environments. The latter portion focuses on the next-generation technologies and tools along with multi-cloud platforms, processes, patterns, and practices. The final segment of the book is dedicated for cloud brokerage systems. The various traits and tenets of cloud brokerage services especially for accomplishing cloud intermediation, integration, orchestration, governance, security, management, configuration, etc. are explained in detail. The book also clearly articulates how to have intelligent brokers.

Cognitive Engineering for Next Generation Computing

Author : Kolla Bhanu Prakash
Publisher : John Wiley & Sons
ISBN 13 : 1119711282
Total Pages : 368 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Cognitive Engineering for Next Generation Computing by : Kolla Bhanu Prakash

Download or read book Cognitive Engineering for Next Generation Computing written by Kolla Bhanu Prakash and published by John Wiley & Sons. This book was released on 2021-03-19 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices. This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results.

Deep Learning for Robot Perception and Cognition

Author : Alexandros Iosifidis
Publisher : Academic Press
ISBN 13 : 0323885721
Total Pages : 638 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis

Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Demystifying AI for the Enterprise

Author : Prashant Natarajan
Publisher : CRC Press
ISBN 13 : 1351032933
Total Pages : 433 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Demystifying AI for the Enterprise by : Prashant Natarajan

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 433 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.

Next-Generation Enterprise Security and Governance

Author : Mohiuddin Ahmed
Publisher : CRC Press
ISBN 13 : 1000569799
Total Pages : 172 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Next-Generation Enterprise Security and Governance by : Mohiuddin Ahmed

Download or read book Next-Generation Enterprise Security and Governance written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2022-04-19 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet is making our daily lives as digital as possible, and this new era is called the Internet of Everything (IoE). The key force behind the rapid growth of the Internet is the technological advancement of enterprises. The digital world we live in is facilitated by these enterprises’ advances and business intelligence. These enterprises need to deal with gazillions of bytes of data, and in today’s age of General Data Protection Regulation, enterprises are required to ensure privacy and security of large-scale data collections. However, the increased connectivity and devices used to facilitate IoE are continually creating more room for cybercriminals to find vulnerabilities in enterprise systems and flaws in their corporate governance. Ensuring cybersecurity and corporate governance for enterprises should not be an afterthought or present a huge challenge. In recent times, the complex diversity of cyber-attacks has been skyrocketing, and zero-day attacks, such as ransomware, botnet, and telecommunication attacks, are happening more frequently than before. New hacking strategies would easily bypass existing enterprise security and governance platforms using advanced, persistent threats. For example, in 2020, the Toll Group firm was exploited by a new crypto-attack family for violating its data privacy, where an advanced ransomware technique was launched to exploit the corporation and request a huge figure of monetary ransom. Even after applying rational governance hygiene, cybersecurity configuration and software updates are often overlooked when they are most needed to fight cyber-crime and ensure data privacy. Therefore, the threat landscape in the context of enterprises has become wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of this network. In this context, this book addresses the cybersecurity and cooperate governance challenges associated with enterprises, which will provide a bigger picture of the concepts, intelligent techniques, practices, and open research directions in this area. This book serves as a single source of reference for acquiring the knowledge on the technology, process, and people involved in next-generation privacy and security.

Building the Agile Enterprise

Author : Fred A. Cummins
Publisher : Morgan Kaufmann
ISBN 13 : 0128052929
Total Pages : 432 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Building the Agile Enterprise by : Fred A. Cummins

Download or read book Building the Agile Enterprise written by Fred A. Cummins and published by Morgan Kaufmann. This book was released on 2016-09-08 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building the Agile Enterprise with Capabilities, Collaborations and Values, Second Edition covers advances that make technology more powerful and pervasive while, at the same time, improving alignment of technology with business. Using numerous examples, illustrations, and case studies, Fred Cummins, an industry expert, author and former fellow with EDS and Hewlett Packard, updates his first edition incorporating the following industry developments: - The ubiquitous use of the Internet along with intelligent, mobile devices, which have enabled everyone and everything to be connected anytime, anywhere - The emergence of a "business architecture discipline that has driven improvements in business design and transformation practices - The development of CMMN (Case Management Model and Notation) that will provide automation to support the collaboration of knowledge workers and managers - The development of VDML (Value Delivery Modeling Language) that supports modeling of business design from a management perspective - The importance of "big data management and analysis as a new source of insight into evolution of the business and the ecosystem - How the architecture of the agile enterprise and business modeling change enterprise governance, management and innovation Building the Agile Enterprise with Capabilities, Collaborations and Values, Second Edition is a must have reference for business leaders, CTOs; business architects, information systems architects and business process modeling professionals who wish to close the gap between strategic planning and business operations as well as the gap between business and IT and enhance the creation and delivery of business value. - Explains how business design abstraction based on collaborations, capabilities and values provides a management view of how the business works, the aspects to be improved or changed, and the means to quickly reconfigure to address new business challenges and opportunities - Discusses how technology must be exploited for efficiency, effectiveness, innovation and agility - Provides practicable and use-case based insights from advisory work with Fortune 100 and 500 companies across multiple verticals - Presents the features of CMMN (Case Management Model and Notation) and explains how it enables automation to support knowledge workers, managers and enterprise agility - Describes application of the Value Delivery Modeling Language (VDML) to link strategic business transformation to operational design