The Emerging Data Economy

Irving Wladawsky-Berger

The Economist’ s May 6 issue referred to data in its cover as the world’s most valuable resource. Similarly, data centers “power all kinds of online services and, increasingly, the real world as devices become more and more connected.”.

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Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

A few weeks ago, McKinsey published The age of analytics: Competing in a data-driven world , a comprehensive report on the state of big data, and in particular, on the challenges and opportunities a company faces as it strives to become a data-driven business.

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Trending Sources

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

A recent article by NY Times reporter Steve Lohr discussed the rising importance of data as a major competitive differentiator. In his NY Times article , Lohr cautions that standard antitrust arguments may not be so easy to make in this new era of data competition.

Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems. Companies submit project proposals prior to the start of the class, including the business problem to be addressed and the data on which the project will be based.

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Big Data at Google

Jay Cross

To see Big Data at work, look to Google, where number-crunching on a massive scale has changed hiring and management practices. All people decisions at Google are based on data and analytics,” according to Kathryn Dekas, a manager in Google’s “people analytics” team. They memorize and parrot back explicit information. It’s the ability to pull together disparate bits of information.”. Informal Learning ITAshare

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New Tools Beget Revolutions: Big Data and the 21st Century Information-based Society

Irving Wladawsky-Berger

While a number of transformative technologies were discussed, big data was the most prominent. . MIT professor Erik Brynjolfsson led an all-MIT academic panel of experts on The Reality of Big Data. We need to change from opinions and hunches and go with facts and data,” he said.

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The Data Bubble redux

Doc Searls

It gets worse: In between the Internet user and the advertiser, the Journal identified more than 100 middlemen — tracking companies, data brokers and advertising networks — competing to meet the growing demand for data on individual behavior and interests.The data on Ms.

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Why Data Informed VS Data Driven?

Beth Kanter

One of the questions I was asked, ”Why Data Informed? Why Not Data-Driven?” ” Being data-informed is something very different from a data-driven culture. Being data-driven sounds great—in theory. Flickr Photo by neoporcupine.

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Towards a Trusted Framework for Identity and Data Sharing

Irving Wladawsky-Berger

As the economy and society move toward a world where interactions are primarily governed by digital data and transactions, our existing methods of managing identity and data security are proving inadequate. Few institutions will let their critical data out of their premises.

Big Data Takes Center Stage

Irving Wladawsky-Berger

A few recent articles have expressed concerns that big data may be at the peak of inflated expectations in the so-called hype cycle for emerging technologies, and will soon start falling into the trough of disillusionment. So is big data. .

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Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

Given the explosive growth of big data over the past decade, it’s not surprising that data-driven decision making is one of the most promising applications in the emerging discipline of data science. . The right decision cannot be ferreted out from the available information.

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Data Science - the Emergence of a New Discipline

Irving Wladawsky-Berger

Data Science is emerging as a hot new profession and academic discipline. Data Scientist: the Sexiest Job of the 21st Century is the title of a recent Harvard Business Review article. They note that demand for data scientists is racing ahead of supply. What is data science? ,

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As Big Data and AI Take Hold, What Will It Take to Be an Effective Executive?

Irving Wladawsky-Berger

Big data , powerful analytics and AI are everywhere. Many of these jobs, - which include blue-collar production activities as well as information-based white-collar ones, - are based on well understood procedures that can be described by a set of rules that machines can then follow. .

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Traditional Data Analysis and Data Science

Irving Wladawsky-Berger

In my opinion, data science should be viewed as a multidisciplinary evolution from business intelligence and analytics. The emergence of data science is closely intertwined with the explosive growth of big data over the past several years.

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Five Tips for Nonprofits Data Visualization

Beth Kanter

Note from Beth: I met Matthew Scharpnick, Co-Founder and Chief Strategy Officer of Elefint Designs, a strategic design studio that works with good causes, at the Data for Good Conference in Chicago. One area that he works on is data visualization for nonprofits.

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Reflections on the Education of Applied Data Scientists

Irving Wladawsky-Berger

About a year ago, an article in the Harvard Business Review called data scientists the sexiest job of the 21st century. Patil , succinctly defined data scientist as “a high-ranking professional with the training and curiosity to make discoveries in the world of big data.”.

Nonprofit Organizational Culture Eats Big Data for Lunch

Beth Kanter

Note from Beth: I was thrilled to be interviewed by Steve along with many other nonprofit data nerds, for his new book, Data Driven Nonprofits. He was kind enough to send me an advanced copy and it is definitely a must read. Data Health. Unstructured Data.

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Reflections on Big Data, Data Science and Related Subjects

Irving Wladawsky-Berger

CUSP’s research and educational programs are centered on urban informatics , - “the acquisition, integration, and analysis of data to understand and improve urban systems and quality of life.” Big Cities + Big Data and Bringing Urban Data to Life are prominently displayed in its website.

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New MOOC: Data, Analytics, & Learning

George Siemens

This fall, together with colleagues, I’ll be offering an open course on edX: Data, Analytics, and Learning. From the description: In education, the use of data and analytics to improve learning is referred to as learning analytics. Software companies, researchers, educators, and university leaders recognize the value of data in improving not only teaching and learning, but the entire education sector. The era of data and analytics in learning is just beginning.

Informal rule of thumb

Harold Jarche

Studies show that informal learning accounts for between 70 and 95% of workplace learning [USBLS: 70%; Raybould: 95%; EDC: 70%; CapitalWorks: 75%; OISE: 70%; eLG: 70%; Allen Tough: 80%]. I have previously referred to Gary Wise and his extrapolation of Josh Bersin’s data from 2009.

Informed consent for human sensors

David Weinberger

Friend (CEO at that same outfit) write about a project in which users of a health monitoring app have given informed consent to have their data made available to other researchers. It is not open data, as John points out, but it is open to any researchers who make it through the vetting process. How to get informed consent via an app? The post Informed consent for human sensors appeared first on Joho the Blog

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Ideas, Experts and Data

Harold Jarche

Managing the information overload is a real challenge. Our default faced with the overload is to actually what I call narrow-cast — to kind of hunker down and focus in on fewer sources than ever — you know, the analyst who we always got our information from, the newsletter that we always read.

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If There Was Already an Ocean of Data in 2007, How Much is there Now?

Andy McAfee

I’ve been trying to figure out how to convey the scale of the ‘ Big Data ‘ phenomenon — the recent worldwide explosion of the volume of data encoded in digital form. 2007 is also when the phrase “big data” was just starting to be used.

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Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

The need for such systems is a result of the explosive growth of data all around us. players, - was that the very process of analyzing data increases the amount of data by orders of magnitude. . This is challenging our ability to store and analyze all that data.

Fantastic international comparative data on media, social media, and mobile

Ross Dawson

For those who love rich data on the world of media and telecoms, the release of a report by UK telecommunications regulator Ofcom is always a cause for celebration. There is an absolute wealth of information in the report.

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Active Data Logging Doesn’t Work

Adaptive Path

It was, and still is, very interesting and useful information for me and, with few exceptions, I’ve tracked my physical activity every day since. As exciting as this data was, I wanted more. Manually entering data is simply not something that is sustainable over long periods of time.

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Open Data

George Siemens

One of the remarkable developments over the last three or four years is the opening of data by organizations such as OECD, UNESCO, World Bank, and city, state/province/national governments. Recent funding cutbacks to this movement in the US – see Death of Open Data? The benefit of open data derives from what it enables – in itself it has limited value.

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Minds and Machines

Irving Wladawsky-Berger

It suppresses complexity and information that might contradict its coherent story, unless System 2 intervenes because it realizes that something doesn’t quite feel right. Inaccurate or biased data will lead to inaccurate or biased predictions.

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Does Rigorous Data Analysis Thwart Effective Storytelling by Non-Profits?

Beth Kanter

The event also included plenary speakers, including a provocative talk about storytelling with data from Alexandra Samuel. Her most controversial point was: “Rigorous data gathering and analysis can get in the way of effective storytelling by non-profits.”.

Attention Nonprofit #datanerds: Data-Informed Fundraising!

Beth Kanter

RT @ kanter what every #datanerd needs in their wardrobe – I Love Data T-shirt bit.ly/QlhMt4. The September, 2012 Issue of the NTEN Change Journal is pure crack for nonprofit #datanerds (folks who would definitely wear a t-shirt emblazoned with “I Love Data!”

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#OEB14 - Does Data Corrupt Education

Stephen Downes: Half an Hour

This house believes that data is corrupting education For: Ellen Wagner - Data as the meme - It bothers me that I leave this trail of data everywhere we do - Data without context is really without value - data with context is information, and information is power, and power corrupts. data in the wrong hands might be misused - will this change what we do? Even in low-data environments, you''re already collecting some data.

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. AI is now seemingly everywhere.

The Simple, Economic Value of Artificial Intelligence

Irving Wladawsky-Berger

Similarly, the economic value of the Internet revolution can be described as reducing the cost of communications and of search, thus enabling us to easily find and access all kinds of information, - including documents, pictures, music and videos.

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In Defense of Data Centrism

Martijn Linssen

Home About Complexity Reading List Knowledge Management Reading List In Defense of Data Centrism John 0 comments Education System Dec 23 In the never ending search to know “what works,” we have a few choices. We can look to theories, i.e., this ‘should’ work; or we can look to data.

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Big Data, Complex Systems and Quantum Mechanics

Irving Wladawsky-Berger

Big Data is one of the hottest topics out there. Big data is a foundational element in IT’s quartet of Next Big Things : Social, Mobile, Analytics and Cloud. But, as the real world keeps reminding us, it is possible to make bad predictions and decisions even if you use tons of big data to make them. The 9/11 attacks showed how even highly sophisticated intelligence agencies can fail to pick out highly relevant signals amidst the mountains of data being analyzed.

Data Viz

Adaptive Path

It ties together three things that are compelling: data viz, Wikipedia and human agreement. Be sure to read the full story about the data and what it represents.). Conversations that inform consensus like this can take weeks, months, years to come to decision or agreement, and that’s if you’re all in the same room. Getting the data isn’t easy. Wikipedia’s model ensures that there is a direct data trace for the recommended action on an AfD thread.

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Spotting the Human Side of Data at DoGoodData Conference

Beth Kanter

“Problems don’t start with data, they start with people.” The DoGoodData community understands that good data practice is a balance of both the human side and the technical skills. Data As True North. ” Data Visualization As Creative Process.

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Reinventing Society in the Wake of Big Data

Irving Wladawsky-Berger

For several years now, big data has been one of the hottest topics in the IT industry. But, what do we mean by big data ? A number of recent articles have been sounding the alarm that big data may be at the peak of inflated expectations in Gartner’s hype cycle.

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it’s all about our data

Harold Jarche

A platform: a centrally controlled application that controls the data on ll interactions and activities. Control of data is the new source of power in the network era. It’s time to empower ourselves and take our data back”, says Chris Middleton.

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For personal data, use value beats sale value

Doc Searls

Should you manage your personal data just so you can sell it to marketers? Those are the barely-challenged assumptions in Start-Ups Seek to Help Users Put a Price on Their Personal Data , by Joshua Brustein in The New York Times. He writes, People have been willing to give away their data while the companies make money. People keep a single account with information about themselves. In fact, there never has been a market where people sell their personal data.

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