Download big data revolution what farmers doctors and insurance agents teach us about discovering big data patterns in pdf or read big data revolution what farmers doctors and insurance agents teach us about discovering big data patterns in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get big data revolution what farmers doctors and insurance agents teach us about discovering big data patterns in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



Big Data Revolution

Author: Rob Thomas
Publisher: John Wiley & Sons
ISBN: 1118943724
Size: 13.28 MB
Format: PDF, ePub
View: 1987
Download and Read
Exploit the power and potential of Big Data to revolutionize business outcomes Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of Big Data within the business realm. Readers are guided through tried-and-true methodologies for getting more out of data, and using it to the utmost advantage. This book describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding Big Data, all while guiding readers toward better decision making from the perspective of a data scientist. Companies are generating data faster than ever before, and managing that data has become a major challenge. With the right strategy, Big Data can be a powerful tool for creating effective business solutions – but deep understanding is key when applying it to individual business needs. Big Data Revolution provides the insight executives need to incorporate Big Data into a better business strategy, improving outcomes with innovation and efficient use of technology. Examine the major emerging patterns in Big Data Consider the debate surrounding the ethical use of data Recognize patterns and improve personal and organizational performance Make more informed decisions with quantifiable results In an information society, it is becoming increasingly important to make sense of data in an economically viable way. It can drive new revenue streams and give companies a competitive advantage, providing a way forward for businesses navigating an increasingly complex marketplace. Big Data Revolution provides expert insight on the tool that can revolutionize industries.

Knowledge Management In Organizations

Author: Lorna Uden
Publisher: Springer
ISBN: 3319210092
Size: 25.95 MB
Format: PDF, ePub
View: 3369
Download and Read
This book contains the refereed proceedings of the 10th International Conference on Knowledge Management in Organizations, KMO 2015, held in Maribor, Slovenia, in August 2015. The theme of the conference was "Knowledge Management and Internet of Things." The KMO conference brings together researchers and developers from industry and academia to discuss how knowledge management using big data can improve innovation and competitiveness. The 59 contributions accepted for KMO 2015 were selected from 163 submissions and are organized in topical sections on: knowledge management processes, successful knowledge sharing and knowledge management practices, innovations for competitiveness, knowledge management platforms and tools, social networks and mining techniques, knowledge management and the Internet of Things, knowledge management in health care, and knowledge management in education and research.

The Industries Of The Future

Author: Alec Ross
Publisher: Simon and Schuster
ISBN: 1476753652
Size: 72.72 MB
Format: PDF, ePub, Mobi
View: 6368
Download and Read
Leading innovation expert Alec Ross explains what's next for the world, mapping out the advances and stumbling blocks that will emerge in the next ten years—for businesses, governments, and the global community—and how we can navigate them. While Alec Ross was working as Hillary Clinton's Senior Advisor on Innovation, he traveled to forty-one countries. He visited some of the toughest places in the world—from refugee camps of Congo to Syrian war zones. From phone-charger stands in Rwanda to R&D labs in South Korea, Ross has seen what the future holds. Over the past two decades, the Internet has radically changed markets and businesses worldwide. InThe Industries of the Future, Ross shows us what's next, highlighting the best opportunities for progress and explaining why countries thrive or sputter. He examines the specific fields that will most shape our economic future over the next ten years, including cybercrime and cybersecurity, the commercialization of genomics, the next step for big data, and the coming impact of digital technology on money, payments, and markets. And in each of these realms, Ross addresses the toughest questions: How will we have to adapt to the changing nature of work? Is the prospect of cyberwar sparking the next arms race? How can the world's rising nations hope to match Silicon Valley in creating their own innovation hotspots? Ross blends storytelling and economic analysis to give a vivid and informed perspective on how sweeping global trends are affecting the ways we live, incorporating the insights of leaders ranging from the founders of Google and Twitter to defense experts like David Petraeus. The Industries of the Future takes the intimidating, complex topics that many of us know to be important and boils them down into clear, plain-spoken language. This is an essential work for understanding how the world works—now and tomorrow—and a must-read for businesspeople, in every sector, from every country.

Big Data

Author: Viktor Mayer-Schönberger
Publisher: Houghton Mifflin Harcourt
ISBN: 0544002938
Size: 29.53 MB
Format: PDF, ePub, Docs
View: 1966
Download and Read
A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing. www.big-data-book.com

The End Of Tech Companies

Author: Rob Thomas
Publisher:
ISBN: 9781520166285
Size: 63.67 MB
Format: PDF, Mobi
View: 945
Download and Read
"If you aren't genuinely pained by the risk involved in your strategic choices, it's not much of a strategy." -- Reed HastingsThe world economy is driven by innovation and productivity. But, business models that were built for a previous era deliver neither innovation nor productivity. In short, business models reliant on traditional distribution models, large dollar transactions, and human-intensive operations will remain under pressure.Many 'non-tech companies' say, "thank goodness that is not the business we are in" or "technology changes too fast, I'm glad we are in a more traditional space". These are false hopes. This fundamental shift is coming (or has already come) to every business and every industry, in every part of the world. It does not matter if you are a retailer, a manufacturer, a healthcare provider, an agricultural producer, or a pharma company. Your traditional distribution model, operational mechanics, and method of value creation will change in the next 5 years; you will either lead or be left behind.It's been said that we sit on the cusp of the next Industrial Revolution. Data, IoT, and software are replacing industrialization as the driving force of productivity and change. The rise of the Data era, coupled with software and connected device sprawl, creates an opportunity for some companies to outperform others. Those who figure out how to apply this advantage will drive unprecedented wealth creation and comprise the new S&P 500.This is the end of 'tech companies'. The era of "tech companies" is over; there are only 'companies', steeped in technology, that will survive.Read the blog post that led to the book: http://tinyurl.com/endoftech

Disruptive Possibilities How Big Data Changes Everything

Author: Jeffrey Needham
Publisher: "O'Reilly Media, Inc."
ISBN: 1449369006
Size: 20.35 MB
Format: PDF, Kindle
View: 7109
Download and Read
Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies. Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them. Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.

Seven Layers Of Social Media Analytics

Author: Gohar F. Khan
Publisher: Createspace Independent Publishing Platform
ISBN: 9781507823200
Size: 69.69 MB
Format: PDF, Docs
View: 3718
Download and Read
The book offers concepts, tools, tutorials, and case studies that business managers need to extract and analyze the seven layers of social media data, including text, actions, networks, apps, hyperlinks, search engines, and location layers. Social media analytics is about converting unstructured social media data into meaningful business insights. By the end of this book, you will have mastered the concepts, techniques, and tools used to extract business insights from social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make good business decisions. The book is non-technical in nature best suited for business managers, owners, consultants, students, and professors, etc. Here is how the book is structured: Chapter 1: The Seven Layers of Social Media Analytics Chapter 2: Understanding Social Media Chapter 3: Social Media Text Analytics Chapter 4: Social Media Network Analytics Chapter 5: Social Media Actions Analytics Chapter 6: Social Media Apps Analytics Chapter 7: Social Media Hyperlinks Analytics Chapter 8: Social Media Location Analytics Chapter 9: Social Media Search Engine Analytics Chapter 10: Aligning Social Media Analytics with Business Goals The book also comes with a companion site (http: //7layersanalytics.com/) which offers Updated Tutorials, Power-Point Slide, Case Studies, Sample Data, and Syllabus.

Metaheuristics For Big Data

Author: Clarisse Dhaenens
Publisher: John Wiley & Sons
ISBN: 1848218060
Size: 14.74 MB
Format: PDF, ePub, Docs
View: 5186
Download and Read
Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: infrastructure, for storage and transportation, and conceptual models. Finally, to extract meaning from Big Data requires complex analysis. Here the authors propose using metaheuristics as a solution to these challenges; they are first able to deal with large size problems and secondly flexible and therefore easily adaptable to different types of data and different contexts. The use of metaheuristics to overcome some of these data mining challenges is introduced and justified in the first part of the book, alongside a specific protocol for the performance evaluation of algorithms. An introduction to metaheuristics follows. The second part of the book details a number of data mining tasks, including clustering, association rules, supervised classification and feature selection, before explaining how metaheuristics can be used to deal with them. This book is designed to be self-contained, so that readers can understand all of the concepts discussed within it, and to provide an overview of recent applications of metaheuristics to knowledge discovery problems in the context of Big Data.

Data Science And Big Data Analytics

Author: EMC Education Services
Publisher: John Wiley & Sons
ISBN: 1118876059
Size: 75.53 MB
Format: PDF, Kindle
View: 1699
Download and Read
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!