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The Intelligent Enterprise in the Era of Big Data

The Intelligent Enterprise in the Era of Big Data PDF Author: Venkat Srinivasan
Publisher: John Wiley & Sons
ISBN: 1118834623
Category : Mathematics
Languages : en
Pages : 216

Book Description
“ … the enterprise of today has changed … wherever you sit in this new corporation … Srinivasan gives us a practical and provocative guide for rethinking our business process … calling us all to action around rapid development of our old, hierarchical structures into flexible customer centric competitive force …. A must read for today’s business leader.” Mark Nunnelly, Executive Director, MassIT, Commonwealth of Massachusetts and Managing Director, Bain Capital “’Efficiency,’ ‘agile,’ and ‘analytics’ used to be the rage. Venkat Srinivasan explains in this provocative book why organizations can no longer afford to stop there. They need to move beyond – to be ‘intelligent.’ It isn’t just theory. He’s done it.” Bharat Anand, Henry R. Byers Professor of Business Administration, Harvard Business School In the era of big data and automation, the book presents a cutting-edge approach to how enterprises should organize and function. Striking a practical balance between theory and practice, The Intelligent Enterprise in the Era of Big Data presents the enterprise architecture that identifies the power of the emerging technology environment. Beginning with an introduction to the key challenges that enterprises face, the book systematically outlines modern enterprise architecture through a detailed discussion of the inseparable elements of such architecture: efficiency, flexibility, and intelligence. This architecture enables rapid responses to market needs by sensing important developments in internal and external environments in real time. Illustrating all of these elements in an integrated fashion, The Intelligent Enterprise in the Era of Big Data also features: • A detailed discussion on issues of time-to-market and flexibility with respect to enterprise application technology • Novel analyses illustrated through extensive real-world case studies to help readers better understand the applicability of the architecture and concepts • Various applications of natural language processing to real-world business transactions • Practical approaches for designing and building intelligent enterprises The Intelligent Enterprise in the Era of Big Data is an appropriate reference for business executives, information technology professionals, data scientists, and management consultants. The book is also an excellent supplementary textbook for upper-undergraduate and graduate-level courses in business intelligence, data mining, big data, and business process automation. “a compelling vision of the next generation of organization—the intelligent enterprise—which will leverage not just big data but also unstructured text and artificial intelligence to optimize internal processes in real time … a must-read book for CEOs and CTOs in all industries.” Ravi Ramamurti, D”Amore-McKim Distinguished Professor of International Business and Strategy, and Director, Center for Emerging Markets, Northeastern University “It is about the brave new world that narrows the gap between technology and business …. The book has practical advice from a thoughtful practitioner. Intelligent automation will be a competitive strength in the future. Will your company be ready?” Victor J. Menezes, Retired Senior Vice Chairman, Citigroup Venkat Srinivasan, PhD, is Chairman and Chief Executive Officer of RAGE Frameworks, Inc., which supports the creation of intelligent business process automation solutions and cognitive intelligence solutions for global corporations. He is an entrepreneur and holds several patents in the area of knowledge-based technology architectures. He is the author of two edited volumes and over 30 peer-reviewed publications. He has served as an associate professor in the College of Business Administration at Northeastern University.

The Intelligent Enterprise in the Era of Big Data

The Intelligent Enterprise in the Era of Big Data PDF Author: Venkat Srinivasan
Publisher: John Wiley & Sons
ISBN: 1118834623
Category : Mathematics
Languages : en
Pages : 216

Book Description
“ … the enterprise of today has changed … wherever you sit in this new corporation … Srinivasan gives us a practical and provocative guide for rethinking our business process … calling us all to action around rapid development of our old, hierarchical structures into flexible customer centric competitive force …. A must read for today’s business leader.” Mark Nunnelly, Executive Director, MassIT, Commonwealth of Massachusetts and Managing Director, Bain Capital “’Efficiency,’ ‘agile,’ and ‘analytics’ used to be the rage. Venkat Srinivasan explains in this provocative book why organizations can no longer afford to stop there. They need to move beyond – to be ‘intelligent.’ It isn’t just theory. He’s done it.” Bharat Anand, Henry R. Byers Professor of Business Administration, Harvard Business School In the era of big data and automation, the book presents a cutting-edge approach to how enterprises should organize and function. Striking a practical balance between theory and practice, The Intelligent Enterprise in the Era of Big Data presents the enterprise architecture that identifies the power of the emerging technology environment. Beginning with an introduction to the key challenges that enterprises face, the book systematically outlines modern enterprise architecture through a detailed discussion of the inseparable elements of such architecture: efficiency, flexibility, and intelligence. This architecture enables rapid responses to market needs by sensing important developments in internal and external environments in real time. Illustrating all of these elements in an integrated fashion, The Intelligent Enterprise in the Era of Big Data also features: • A detailed discussion on issues of time-to-market and flexibility with respect to enterprise application technology • Novel analyses illustrated through extensive real-world case studies to help readers better understand the applicability of the architecture and concepts • Various applications of natural language processing to real-world business transactions • Practical approaches for designing and building intelligent enterprises The Intelligent Enterprise in the Era of Big Data is an appropriate reference for business executives, information technology professionals, data scientists, and management consultants. The book is also an excellent supplementary textbook for upper-undergraduate and graduate-level courses in business intelligence, data mining, big data, and business process automation. “a compelling vision of the next generation of organization—the intelligent enterprise—which will leverage not just big data but also unstructured text and artificial intelligence to optimize internal processes in real time … a must-read book for CEOs and CTOs in all industries.” Ravi Ramamurti, D”Amore-McKim Distinguished Professor of International Business and Strategy, and Director, Center for Emerging Markets, Northeastern University “It is about the brave new world that narrows the gap between technology and business …. The book has practical advice from a thoughtful practitioner. Intelligent automation will be a competitive strength in the future. Will your company be ready?” Victor J. Menezes, Retired Senior Vice Chairman, Citigroup Venkat Srinivasan, PhD, is Chairman and Chief Executive Officer of RAGE Frameworks, Inc., which supports the creation of intelligent business process automation solutions and cognitive intelligence solutions for global corporations. He is an entrepreneur and holds several patents in the area of knowledge-based technology architectures. He is the author of two edited volumes and over 30 peer-reviewed publications. He has served as an associate professor in the College of Business Administration at Northeastern University.

The Intelligent Enterprise in the Era of Big Data

The Intelligent Enterprise in the Era of Big Data PDF Author: Daniel Anthony
Publisher: Createspace Independent Publishing Platform
ISBN: 9781548210236
Category :
Languages : en
Pages : 194

Book Description
Beginning with an introduction to the key challenges that enterprises face, the book systematically outlines modern enterprise architecture through a detailed discussion of the inseparable elements of such architecture: efficiency, flexibility, and intelligence. This architecture enables rapid responses to market needs by sensing important developments in internal and external environments in real time.

Big Data and Smart Service Systems

Big Data and Smart Service Systems PDF Author: Xiwei Liu
Publisher: Academic Press
ISBN: 0128120401
Category : Technology & Engineering
Languages : en
Pages : 232

Book Description
Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness. Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service Illustrates the concepts, framework, and application of big data and smart service systems Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy

Cutting-Edge Business Technologies in the Big Data Era

Cutting-Edge Business Technologies in the Big Data Era PDF Author: Saad G. Yaseen
Publisher: Springer
ISBN: 9783031424540
Category : Computers
Languages : en
Pages : 0

Book Description
This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?

Intelligent Enterprise

Intelligent Enterprise PDF Author: James Brian Quinn
Publisher: Simon and Schuster
ISBN: 1439105707
Category : Business & Economics
Languages : en
Pages : 473

Book Description
In this penetrating study of how knowledge-based services and technology are revolutionizing the economy and every corporate strategy, James Brian Quinn argues that the successful companies of the 90's -- whether in manufacturing or services -- will derive their competitive edge not from ephemerally superior products but from a deep understanding of a few highly developed knowledge and service based "core competencies." Rarely will owning the largest raw materials resource, manufacturing plants, equipment bases, or integrated facilities provide a maintainable competitive edge for major companies. Such physical properties are too easily cloned or bypassed. From now on, Quinn documents, intelligent enterprises will derive sustainable advantage from knowledge and service based activities that leverage intellectual assets. They will increase value through technological sophistication, better knowledge bases, more creative customer responsiveness, and the unsurpassed management of human and intellectual capital that competitors cannot reproduce. Quinn analyzes the technological and economic forces that make such strategies essential. He shows in detail how to create and leverage knowledge and service based core competencies for maximum focus and effectiveness. Managers, Quinn asserts, must define each value-creating activity as a knowledge based service and determine whether or not they can perform that service -- be it research, design, inventory control, accounting, distribution, or advertising -- better than anyone else in the world. Using examples from companies such as Merck, Honda, Apple, Boeing, and Wal-Mart, Quinn describes how forward-looking companies can best perform needed analyses and implement strategies around selected core competencies. By eliminating or "outsourcing" less important functions to superior outside vendors, firms become more responsive, decentralized, and lean. They become the "intelligent enterprises" of the 1990s, leveraging human and capital resources much more than other firms. They may also take on radically new organizational forms, become "starburst," "inverted," "infinitely flat," or "spiders' web" configurations. By designing and benchmarking their knowledge and service based activities to be "best in world," managers can obliterate overhead costs, smash bureaucracies, motivate personnel, and create greater value for customers and shareholders alike.

Digital Transformation

Digital Transformation PDF Author: Anup Maheshwari
Publisher: John Wiley & Sons
ISBN: 1119540836
Category : Business & Economics
Languages : en
Pages : 416

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.

Big Data, Big Innovation

Big Data, Big Innovation PDF Author: Evan Stubbs
Publisher: John Wiley & Sons
ISBN: 1118925521
Category : Business & Economics
Languages : en
Pages : 256

Book Description
A practical guide to leveraging your data to spur innovation andgrowth Your business generates reams of data, but what do you do withit? Reporting is only the beginning. Your data holds the key toinnovation and growth – you just need the proper analytics.In Big Data, Big Innovation: Enabling CompetitiveDifferentiation Through Business Analytics, author Evan Stubbsexplores the potential gold hiding in your un-mined data. As ChiefAnalytics Officer for SAS Australia/New Zealand, Stubbs brings anindustry insider's perspective to guide you through patternrecognition, analysis, and implementation. Big Data, Big Innovation: Enabling CompetitiveDifferentiation Through Business Analytics details agroundbreaking approach to ensuring your company's upwardtrajectory. Use this guide to leverage your customer information,financial reports, performance metrics, and more to build arock-solid foundation for future growth. Build an effective analytics team, and empower them with theright tools Learn how big data drives both evolutionary and revolutionaryinnovation, and who should be responsible Identify data collection and analysis opportunities andimplement action plans Design the platform that suits your company's current andfuture needs Quantify performance with statistics, programming, and researchfor a more complete picture of operations Effective management means combining data, people, and analyticsto create a synergistic force for innovation and growth. If youwant your company to move forward with confidence, Big Data, BigInnovation: Enabling Competitive Differentiation Through BusinessAnalytics can show you how to use what you already have andacquire what you need to succeed.

Big Data in Practice

Big Data in Practice PDF Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1119231396
Category : Business & Economics
Languages : en
Pages : 320

Book Description
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Big Data

Big Data PDF Author: Bill Schmarzo
Publisher: John Wiley & Sons
ISBN: 1118740009
Category : Business & Economics
Languages : en
Pages : 240

Book Description
Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.

Cutting-Edge Business Technologies in the Big Data Era

Cutting-Edge Business Technologies in the Big Data Era PDF Author: Saad G. Yaseen
Publisher: Springer
ISBN: 9783031424656
Category : Computers
Languages : en
Pages : 0

Book Description
This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?