The Intelligent Enterprise in the Era of Big Data

The Intelligent Enterprise in the Era of Big Data
Author :
Publisher : John Wiley & Sons
Total Pages : 216
Release :
ISBN-10 : 9781118834626
ISBN-13 : 1118834623
Rating : 4/5 (623 Downloads)

Book Synopsis The Intelligent Enterprise in the Era of Big Data by : Venkat Srinivasan

Download or read book The Intelligent Enterprise in the Era of Big Data written by Venkat Srinivasan and published by John Wiley & Sons. This book was released on 2016-10-10 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: “ … 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 Related Books

The Intelligent Enterprise in the Era of Big Data
Language: en
Pages: 216
Authors: Venkat Srinivasan
Categories: Mathematics
Type: BOOK - Published: 2016-10-10 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

“ … the enterprise of today has changed … wherever you sit in this new corporation … Srinivasan gives us a practical and provocative guide for rethinkin
Intelligent Enterprise
Language: en
Pages: 519
Authors: James Brian Quinn
Categories: Business & Economics
Type: BOOK - Published: 1992-09-14 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

In this penetrating study of how knowledge-based services and technology are revolutionizing the economy and every corporate strategy, James Brian Quinn argues
The Kimball Group Reader
Language: en
Pages: 744
Authors: Ralph Kimball
Categories: Computers
Type: BOOK - Published: 2010-03-11 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

An unparalleled collection of recommended guidelines for data warehousing and business intelligence pioneered by Ralph Kimball and his team of colleagues from t
Surviving and Thriving in Uncertainty
Language: en
Pages: 368
Authors: Frederick Funston
Categories: Business & Economics
Type: BOOK - Published: 2010-06-03 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A new book to help senior executives and boards get smart about risk management The ability of businesses to survive and thrive often requires unconventional th
Information Technology for Management: New Ideas and Real Solutions
Language: en
Pages: 251
Authors: Ewa Ziemba
Categories: Computers
Type: BOOK - Published: 2017-01-27 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes revised selected papers from the 14th Conference on Advanced Information Technologies for Management, AITM 2016, and the 11th Conference o