Disruptive Analytics

What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache ...

Disruptive Analytics

Author: Thomas W. Dinsmore

Publisher: Apress

ISBN: 1484213114

Page: 262

View: 901

Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

Multimedia Data Mining and Analytics

Disruptive Innovation Aaron K. Baughman, Jiang Gao, Jia-Yu Pan, Valery A. Petrushin ... Within this book, “Multimedia Data Mining and Analytics: Disruptive ...

Multimedia Data Mining and Analytics

Author: Aaron K. Baughman

Publisher: Springer

ISBN: 3319149989

Page: 454

View: 694

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.

Disruptive Technology Enhanced Learning

The educational and commercial potential of analytics is considerable, ... a disruptive innovation because analytics could be used, 'to power adaptive ...

Disruptive Technology Enhanced Learning

Author: Michael Flavin

Publisher: Springer

ISBN: 1137572841

Page: 150

View: 543

This book is about how technologies are used in practice to support learning and teaching in higher education. Despite digitization and e-learning becoming ever-increasingly popular in university teaching settings, this book convincingly argues instead in favour of simple and convenient technologies, thus disrupting traditional patterns of learning, teaching and assessment. Michael Flavin uses Disruptive Innovation theory, Activity Theory and the Community of Practice theory as lenses through which to examine technology enhanced learning. This book will be of great interest to all academics with teaching responsibilities, as it illuminates how technologies are used in practice, and is also highly relevant to postgraduate students and researchers in education and technology enhanced learning. It will be especially valuable to leaders and policy-makers in higher education, as it provides insights to inform decision-making on technology enhanced learning at both an institutional and sectoral level.

Disruptive and Emerging Technology Trends Across Education and the Workplace

The field of learning analytics has made some strides in helping educators make sense of this under-utilized data, but by in large learning analytics has ...

Disruptive and Emerging Technology Trends Across Education and the Workplace

Author: Delello, Julie Anne

Publisher: IGI Global

ISBN: 1799829162

Page: 353

View: 747

Advancing technologies are rapidly modifying the current state of business and society causing an expansion of possible career opportunities. In order to stay competitive, institutions of education must provide an emphasis on the wide-range of skills and experiences needed to contribute to a 21st century workforce. As new technologies emerge and even disrupt, there will be a demand for new forms of education and deeper learning. Disruptive and Emerging Technology Trends Across Education and the Workplace is a collection of innovative research on the latest instructive methods being utilized in classrooms and organizations as well as the benefits and challenges of adopting these technologies. While highlighting topics including mobile learning, augmented reality, and cryptocurrencies, this book is ideally designed for developers, professionals, educators, managers, researchers, scientists, stakeholders, strategists, practitioners, and students seeking current research on new forms of educational techniques in relation to the continued application of new technologies in the workplace.

Big Data Big Analytics

Disruptive Analytics” The changing health care landscape is an excellent example of where data science and disruptive analytics can have an immediate ...

Big Data  Big Analytics

Author: Michael Minelli

Publisher: John Wiley & Sons

ISBN: 111814760X

Page: 224

View: 435

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

The Influences of Big Data Analytics

The theoretical framework for this book was our ground-up theory of the Scope, Size, Speed, and Skill (4Ss) and Technological Situational Happenstances (TSHs) applied to Big data analytics.

The Influences of Big Data Analytics

Author: Dr. Joseph Aluya, D.B.A.

Publisher: Author House

ISBN: 1496927508

Page: 236

View: 946

The theoretical framework for this book was our ground-up theory of the Scope, Size, Speed, and Skill (4Ss) and Technological Situational Happenstances (TSHs) applied to Big data analytics. With in-depth research, we catechized the effects of the coalesced insights from big data influencing the architectures of incremental and radical business models. We discussed data inflation and the global impact of TSHs. We showed how deft leadership used insights gleaned from big data analytics to make strategic decisions. The big data syndrome led to Microsoft's acquisition of Nokia in our case study. Our study of APPLE Corporation's use of large datasets was explicitly analyzed. Leaderships' failure to incorporate those contextual elements afforded by insights gleaned from big data analytics, concomitant with the associated costs led to acute forms of irrational rationalism, groupthink, and faulty decision making. We explained the statistics used to essentially describe this paradigm shift, such as high dimensionality, incidental endogeneity, noise accumulation, spurious correlation, and computational costs. Significantly, machine learning challenged the status quo by effectively changing the existing technological landscape. To scholarly critics, how would supervised and un-supervised learning algorithms advance the trajectory of perspectives in applied knowledge under the umbrella of big data? Further, political and socio-economics tied to big data was examined. We recommended leaders should have a shared cognition on how to leverage analytics from large datasets for competitive advantages. Most significantly, leaders or managers should be cognizant of the inextricable synergies that seamlessly flow from adroitly implementing a strategy to profit from the speed, size, skill, and scope (i.e. the 4Ss) of the big data environment, conditioned by the leveraging of those transactional situational happenstances generated by increases in market volatility. We concluded the algorithmic processes of leveraging insights from big data have globally resulted in a disruption of current technological pathways.

Big Data Analytics

Cover subtitle: Disruptive technologies for changing the game.

Big Data Analytics

Author: Arvind Sathi

Publisher: Mc PressLlc

ISBN: 9781583473801

Page: 73

View: 770

Bringing a practitioner’s view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. This work also addresses and thoroughly answers key questions on this emerging topic, including What is big data and how is it being used? How can strategic plans for big data analytics be generated? and How does big data change analytics architecture? The author, who has more than 20 years of experience in information management architecture and delivery, has drawn the material from a large breadth of workshops and interviews with business and information technology leaders, providing readers with the latest in evolutionary, revolutionary, and hybrid methodologies of moving forward to the brave new world of big data.

Unstructured Data Analytics

Today, the pace of technology development and Big Data analytics is creating disruptive mind-sets across all spectrums of industry.

Unstructured Data Analytics

Author: Jean Paul Isson

Publisher: John Wiley & Sons

ISBN: 1119325498

Page: 432

View: 580

Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.

Analytics in the Age of Artificial Intelligence The Why and the How of Using Analytics to Unleash the Power of Artificial Intelligence

“What Is Disruptive Innovation?” Harvard Business Review. ... Competing on Analytics: The New Science of Winning. ... Disruptive Analytics. Apress. Domo.

Analytics in the Age of Artificial Intelligence  The Why and the How of Using Analytics to Unleash the Power of Artificial Intelligence

Author: Priyo Chatterjee

Publisher: Atlantic Publishing Company

ISBN: 1620237695

Page: 244

View: 784

Artificial Intelligence is a significant development in the technological landscape, and it is poised to be a veritable game-changer for all concerned. Given globalization and the winner-take-all market dynamics, there is a “superstar” effect at play in most markets, where a select few companies capture a lion’s share of the market, as well as the profit. Given this environment, Analytics goes from becoming a “good to have” to a “must have” if organizations are to take this opportunity to leverage the power of artificial intelligence and other adjacent technologies in an impactful manner. In this book, Priyo Chatterjee, drawing on his years of experience in the Analytics and Data Science space, takes a methodical approach to Analytics by first demonstrating why it has become so critical in “The Age of Artificial Intelligence.” Then he shows how companies can become more Analytical and, thereby, successful in deploying artificial intelligence strategies.

Future Trends of HPC in a Disruptive Scenario

Categorization of some known tools used for Big Data Analytics Platform Local Hadoop, MapReduce, Cloudera, Hortonworks, BigInsights Cloud AWS, ...

Future Trends of HPC in a Disruptive Scenario

Author: L. Grandinetti

Publisher: IOS Press

ISBN: 1614999996

Page: 284

View: 391

The realization that the use of components off the shelf (COTS) could reduce costs sparked the evolution of the massive parallel computing systems available today. The main problem with such systems is the development of suitable operating systems, algorithms and application software that can utilise the potential processing power of large numbers of processors. As a result, systems comprising millions of processors are still limited in the applications they can efficiently solve. Two alternative paradigms that may offer a solution to this problem are Quantum Computers (QC) and Brain Inspired Computers (BIC). This book presents papers from the 14th edition of the biennial international conference on High Performance Computing - From Clouds and Big Data to Exascale and Beyond, held in Cetraro, Italy, from 2 - 6 July 2018. It is divided into 4 sections covering data science, quantum computing, high-performance computing, and applications. The papers presented during the workshop covered a wide spectrum of topics on new developments in the rapidly evolving supercomputing field – including QC and BIC – and a selection of contributions presented at the workshop are included in this volume. In addition, two papers presented at a workshop on Brain Inspired Computing in 2017 and an overview of work related to data science executed by a number of universities in the USA, parts of which were presented at the 2018 and previous workshops, are also included. The book will be of interest to all those whose work involves high-performance computing.

Disruptive Procurement

Until now, procurement departments typically generated a lot of data but did not realize the full potential of using this data via analytics.

Disruptive Procurement

Author: Michael F. Strohmer

Publisher: Springer Nature

ISBN: 3030389502

Page: 122

View: 320

Disruptive Procurement is a radical new approach to creating value and innovation by challenging the status quo in the entire product and service line. It requires going far beyond conventional desktop procurement to understand the value the company brings to its customers as well as the value that suppliers bring to the company. By combining knowledge of these two dimensions, companies become far more flexible and they move closer to disrupting the environment in ways that create value. To move toward Disruptive Procurement, companies need a holistic view and a complete new set of capabilities for staff in marketing, sales, R&D, manufacturing, innovation, and, of course, procurement. This will only happen if procurement is fully backed by the Chief Executive Officer and companies embrace digital tools that will help make procurement slimmer and smarter.

Handbook of Research on Driving Competitive Advantage through Sustainable Lean and Disruptive Innovation

Antecedents and implications of disruptive innovation: Evidence from China. ... your big data analytics workloads, such as real-time streaming analytics, ...

Handbook of Research on Driving Competitive Advantage through Sustainable  Lean  and Disruptive Innovation

Author: Al-Hakim, Latif

Publisher: IGI Global

ISBN: 1522501363

Page: 743

View: 287

The global market is constantly evolving and it has become essential for organizations to employ new methods of appealing to customers in order to stay abreast on current trends within the world economy. The Handbook of Research on Driving Competitive Advantage through Sustainable, Lean, and Disruptive Innovation features theoretical development and empirical research in social media platforms, internet usage, big data analytics, and smart computing, as well as other areas of organizational innovation. Highlighting implementation challenges facing innovative processes, this publication is a critical reference source for researchers, students, professionals, managers, and decision makers interested in novel strategies being employed by organizations in an effort to improve their standings on the global market.

Applied Health Analytics and Informatics Using SAS

In the context of patient data, disruptive technologies are altering the healthcare environment. Disruptive technologies are those that are cheaper, ...

Applied Health Analytics and Informatics Using SAS

Author: Joseph M. Woodside

Publisher: SAS Institute

ISBN: 1635266149

Page: 378

View: 101

Leverage health data into insight! Applied Health Analytics and Informatics Using SAS describes health anamatics, a result of the intersection of data analytics and health informatics. Healthcare systems generate nearly a third of the world’s data, and analytics can help to eliminate medical errors, reduce readmissions, provide evidence-based care, demonstrate quality outcomes, and add cost-efficient care. This comprehensive textbook includes data analytics and health informatics concepts, along with applied experiential learning exercises and case studies using SAS Enterprise MinerTM within the healthcare industry setting. Topics covered include: Sampling and modeling health data – both structured and unstructured Exploring health data quality Developing health administration and health data assessment procedures Identifying future health trends Analyzing high-performance health data mining models Applied Health Analytics and Informatics Using SAS is intended for professionals, lifelong learners, senior-level undergraduates, graduate-level students in professional development courses, health informatics courses, health analytics courses, and specialized industry track courses. This textbook is accessible to a wide variety of backgrounds and specialty areas, including administrators, clinicians, and executives. This book is part of the SAS Press program.

Advanced Business Analytics

There has been a growing interest on the topic of vulnerability analysis for ... A disruption event, in the context of reliability engineering and system ...

Advanced Business Analytics

Author: Fausto Pedro García Márquez

Publisher: Springer

ISBN: 3319114158

Page: 243

View: 349

The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.

Disruptive Technologies

Facebook 1, 60, 105,107, 149 analytics for 94 disruptive tech, as an example of 12 Facebook Ads 95 Facebook Graph 77 Facebook Groups 169 Facebook IQ 77 ...

Disruptive Technologies

Author: Paul Armstrong

Publisher: Kogan Page Publishers

ISBN: 0749477296

Page: 216

View: 336

Disruptive Technologies outlines the steps businesses can take to engage with emerging technologies today in order to serve the consumer of tomorrow. This book offers the knowledge and tools to engage confidently with emerging technologies for better business. This highly practical book offers organizations a distinct response to emerging technologies including Blockchain (Bitcoin), artificial intelligence, graphene and nanotechnology (among others) and other external factors (such as the sharing economy, mobile penetration, millennial workforce, ageing populations) that impact on their business, client service and product model. Disruptive Technologies provides a clear roadmap to assess, respond to and problem-solve: what are the upcoming changes in technology, roughly when to respond, and what's the best response? By using a quick-to-master evaluation and decision-making framework - structured around the key dimensions of Technology, Behaviour and Data (TBD). Emerging technologies guru Paul Armstrong offers a clear guide to the key disruptive technologies and a toolbox of frameworks, checklists, and activities to evaluate their possibilities. Disruptive Technologies enables forecasting of potential scenarios, implementation of plans, alternative strategies and the ability to handle change more effectively within an organization. The essential tool for all professionals who need to get to grips with emerging technologies fast and strategically.

Marketing at the Confluence between Entertainment and Analytics

Disruptive technologies, on the other hand, require the user to adopt new usage ... Marketing at the Confluence between Entertainment and Analytics, ...

Marketing at the Confluence between Entertainment and Analytics

Author: Patricia Rossi

Publisher: Springer

ISBN: 331947331X

Page: 1595

View: 835

This volume presents the full proceedings of the 2016 Academy of Marketing Science (AMS) World Marketing Congress held in Paris, France. It contains current research in marketing from academics, scholars, and practitioners from around the world. Focusing on advancing marketing theory and practice, this volume will help marketers to move forward in providing value for companies, consumers, and society. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses, and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complementing the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.

Strategic Analytics

Applying Strategic Analytics led to the root cause of slow decision ... of their business—disruptive innovations that could reinvent entire business models.

Strategic Analytics

Author: Alec Levenson

Publisher: Berrett-Koehler Publishers

ISBN: 1626560560

Page: 256

View: 238

Effective analytics is a team sport We have more data, and more ways to analyze it, than ever. Yet strategic initiatives continue to fail as often as they ever did. The problem, Alec Levenson says, is that business analytics and human resource analytics focus on completely different things and talk past each other. This book offers an integrated approach that will allow you to get the deepest possible insights. Levenson details how to successfully integrate enterprise and human capital analytics and includes specific questions to ask, along with examples of how integrated analytics can better address a wide range of organizational challenges.

Disruptive Technology and Digital Transformation for Business and Government

Through cloud or on premises basis Cloudera provides a platform on which data engineering, data warehousing, machine learning, and data analytics can be ...

Disruptive Technology and Digital Transformation for Business and Government

Author: Sandhu, Kamaljeet

Publisher: IGI Global

ISBN: 1799885852

Page: 410

View: 502

With the far-reaching global impact of the COVID-19 pandemic, the demand and the necessity for digital enterprise transformation have accelerated exponentially. Management and strategies for the adoption and wider usage of newer digital technologies for the transformation of an enterprise through digital tools such as real-time video communications have shown that people no longer need to be required to be physically present in the same place; rather, they can be geographically dispersed. Technologies such as artificial intelligence, cloud computing, digital banking, and cloud data have taken over tasks that were initially done by human hands and have increased both the automation and efficiency of tasks and the accessibility of information and services. Inclusion of all these newer technologies has shown the fast pace at which the digital enterprise transformation is rapidly evolving and how new ecosystems are reshaping the digital enterprise model. Disruptive Technology and Digital Transformation for Business and Government presents interesting research on digital enterprise transformation at different stages and across different settings within government and industry, along with key issues and deeper insights on the core problems and developing solutions and recommendations for digital enterprise transformation. The chapters examine the three core leaders of transformation: the people such as managers, employees, and customers; the digital technology such as artificial intelligence and robotics; and the digital enterprise, including the products and services being transformed. They unravel the underlying process for management and strategies to fully incorporate new digital tools and technologies across all aspects of an enterprise undergoing transformation. This book is ideally intended for managers, executives, IT consultants, business professionals, government officials, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.

Engineering Analytics

... analytics techniques in a real case of a country that has important challenges in terms of logistics and vulnerability related to disruptive events.

Engineering Analytics

Author: Luis Rabelo

Publisher: CRC Press

ISBN: 1000453766

Page: 282

View: 739

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.

Internet of Things and Data Analytics Handbook

Disruptive innovation: This is the most troublesome type. Disruptive innovations generally target light or nonconsumers of a category, so they require a new ...

Internet of Things and Data Analytics Handbook

Author: Hwaiyu Geng

Publisher: John Wiley & Sons

ISBN: 1119173639

Page: 816

View: 549

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book: Examines cloud computing, data analytics, and sustainability and how they relate to IoT overs the scope of consumer, government, and enterprise applications Includes best practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).