Welcome!

Microsoft Cloud Authors: Lori MacVittie, Elizabeth White, Yeshim Deniz, Serafima Al, Janakiram MSV

Related Topics: @CloudExpo, Java IoT, Industrial IoT, Microservices Expo, Microsoft Cloud, Containers Expo Blog

@CloudExpo: Article

Drilling the Data Wells of the Future

Human-generated Big Data could make us rich

Human-generated content is comprised of all the files and e-mails that we create every day, all the presentations, word processing documents, spreadsheets, audio files and other documents our employers ask us to produce hour-by-hour. These are the files that take up the vast majority of digital storage space in most organizations - they are kept for significant amounts of time and have huge amounts of metadata associated with them. Human-generated content is huge, and its metadata is even bigger. Metadata is the information about a file: who might have created it, what type of file it is, what folder it is stored in, who has been reading it and who has access to it. The content and metadata together make up human-generated Big Data.

The problem is that most of us, meaning organizations and governments, are not yet equipped with the tools to exploit human-generated Big Data. The conclusion of a recent survey of over 1,000 Internet experts and other Internet users, published by the Pew Research Centre and the Imagining the Internet Center at Elon University, is that the world may not be ready to properly handle and understand Big Data.[1] These experts have come to the conclusion that the huge quantities of data, which they term "digital exhaust," which will be created by the year 2020 could very well enhance productivity, improve organizational transparency and expand the frontier of the "knowable future." However, they are concerned about whose hands this information is in and whether government or corporations will use this information wisely.

The survey found that "...human and machine analysis of Big Data could improve social, political and economic intelligence by 2020. The rise of what is known as Big Data will facilitate things like real-time forecasting of events; the development of ‘inferential software' that assesses data patterns to project outcomes; and the creation of algorithms for advanced correlations that enable new understanding of the world."

Of those surveyed, 39% of the Internet experts asked agreed with the counterargument to Big Data's benefits, which posited that "Human and machine analysis of Big Data will cause more problems than it solves by 2020. The existence of huge data sets for analysis will engender false confidence in our predictive powers and will lead many to make significant and hurtful mistakes. Moreover, analysis of Big Data will be misused by powerful people and institutions with selfish agendas who manipulate findings to make the case for what they want."

As one of the study's participants, entrepreneur Bryan Trogdon put it: "Big Data is the new oil," observing that, "...the companies, governments, and organizations that are able to mine this resource will have an enormous advantage over those that don't. With speed, agility, and innovation determining the winners and losers, Big Data allows us to move from a mindset of ‘measure twice, cut once' to one of ‘place small bets fast.'"[2]

Jeff Jarvis, professor and blogger, said: "Media and regulators are demonizing Big Data and its supposed threat to privacy. Such moral panics have occurred often thanks to changes in technology. But the moral of the story remains: there is value to be found in this data, value in our newfound ability to share. Google's founders have urged government regulators not to require them to quickly delete searches because, in their patterns and anomalies, they have found the ability to track the outbreak of the flu before health officials could and they believe that by similarly tracking a pandemic, millions of lives could be saved. Demonizing data, big or small, is demonising knowledge, and that is never wise."[3]

Sean Mead, director of analytics at Mead, Mead & Clark, Interbrand said: "Large, publicly available data sets, easier tools, wider distribution of analytics skills, and early stage artificial intelligence software will lead to a burst of economic activity and increased productivity comparable to that of the Internet and PC revolutions of the mid to late 1990s. Social movements will arise to free up access to large data repositories, to restrict the development and use of AIs, and to ‘liberate' AIs."[4]

These are very interesting arguments and they do begin to get to the heart of the matter - which is that our data sets have grown beyond our ability to analyze and process them without sophisticated automation. We simply have to rely on technology to analyze and cope with this enormous wave of content and metadata.

Analyzing human-generated Big Data has enormous potential. More than potential, harnessing the power of metadata has become essential to manage and protect human-generated content. File shares, emails, and intranets have made it so easy for end users to save and share files that organizations now have more human-generated content than they can sustainably manage and protect using small data thinking. Many organizations face real problems because questions that could be answered 15 years ago on smaller, more static data sets can no longer be answered. These questions include: Where does critical data reside, who accesses it, and who should have access to it? As a consequence, IDC estimates that only half the data that should be protected is protected.

The problem is compounded with cloud-based file sharing, as these services create yet another growing store of human-generated content requiring management and protection - one that lies outside corporate infrastructure with different controls and management processes.

David Weinberger of Harvard University's Berkman Center said: "We are just beginning to understand the range of problems Big Data can solve, even though it means acknowledging that we're less unpredictable, free, madcap creatures than we'd like to think. If harnessing the power of human generated big data can make data protection and management less unpredictable, free, and madcap, organizations will be grateful.

References

  1. http://www.elon.edu/e-web/predictions/expertsurveys/2012survey/future_Big_Data_2020.xhtml
  2. http://pewinternet.org/Reports/2012/Future-of-Big-Data/Overview.aspx
  3. http://pewinternet.org/Reports/2012/Future-of-Big-Data/Overview.aspx
  4. http://pewinternet.org/Reports/2012/Future-of-Big-Data/Overview.aspx

More Stories By Rob Sobers

Rob Sobers is a designer, web developer, and technical marketing manager for Varonis, where he oversees the company's online marketing strategy. He writes a popular blog on software and security at accidentalhacker.com and is co-author of the book "Learn Ruby the Hard Way", which has been used by thousands of students to learn the Ruby programming language. Rob is a 12-year technology industry veteran and, prior to joining Varonis, held positions in software engineering, design, and professional services.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@ThingsExpo Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
In an era of historic innovation fueled by unprecedented access to data and technology, the low cost and risk of entering new markets has leveled the playing field for business. Today, any ambitious innovator can easily introduce a new application or product that can reinvent business models and transform the client experience. In their Day 2 Keynote at 19th Cloud Expo, Mercer Rowe, IBM Vice President of Strategic Alliances, and Raejeanne Skillern, Intel Vice President of Data Center Group and ...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Founded in 2000, Chetu Inc. is a global provider of customized software development solutions and IT staff augmentation services for software technology providers. By providing clients with unparalleled niche technology expertise and industry experience, Chetu has become the premiere long-term, back-end software development partner for start-ups, SMBs, and Fortune 500 companies. Chetu is headquartered in Plantation, Florida, with thirteen offices throughout the U.S. and abroad.
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
From 2013, NTT Communications has been providing cPaaS service, SkyWay. Its customer’s expectations for leveraging WebRTC technology are not only typical real-time communication use cases such as Web conference, remote education, but also IoT use cases such as remote camera monitoring, smart-glass, and robotic. Because of this, NTT Communications has numerous IoT business use-cases that its customers are developing on top of PaaS. WebRTC will lead IoT businesses to be more innovative and address...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Gemini is Yahoo’s native and search advertising platform. To ensure the quality of a complex distributed system that spans multiple products and components and across various desktop websites and mobile app and web experiences – both Yahoo owned and operated and third-party syndication (supply), with complex interaction with more than a billion users and numerous advertisers globally (demand) – it becomes imperative to automate a set of end-to-end tests 24x7 to detect bugs and regression. In th...
Michael Maximilien, better known as max or Dr. Max, is a computer scientist with IBM. At IBM Research Triangle Park, he was a principal engineer for the worldwide industry point-of-sale standard: JavaPOS. At IBM Research, some highlights include pioneering research on semantic Web services, mashups, and cloud computing, and platform-as-a-service. He joined the IBM Cloud Labs in 2014 and works closely with Pivotal Inc., to help make the Cloud Found the best PaaS.
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
"Evatronix provides design services to companies that need to integrate the IoT technology in their products but they don't necessarily have the expertise, knowledge and design team to do so," explained Adam Morawiec, VP of Business Development at Evatronix, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
The Founder of NostaLab and a member of the Google Health Advisory Board, John is a unique combination of strategic thinker, marketer and entrepreneur. His career was built on the "science of advertising" combining strategy, creativity and marketing for industry-leading results. Combined with his ability to communicate complicated scientific concepts in a way that consumers and scientists alike can appreciate, John is a sought-after speaker for conferences on the forefront of healthcare science,...
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at @ThingsExpo, James Kirkland, Red Hat's Chief Archi...
The current age of digital transformation means that IT organizations must adapt their toolset to cover all digital experiences, beyond just the end users’. Today’s businesses can no longer focus solely on the digital interactions they manage with employees or customers; they must now contend with non-traditional factors. Whether it's the power of brand to make or break a company, the need to monitor across all locations 24/7, or the ability to proactively resolve issues, companies must adapt to...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settl...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...