Data is the New Love

Doc Searls

Personal data, that is. I bring this up because a quarter million pages (so far) on the Web say it “data is the new oil.” ” That’s because a massive personal data extraction industry has grown up around the simple fact that our data is there for the taking.

Data 268

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.”.

Data 200

structures and data

Harold Jarche

“Collecting data on human learning based on children’s behavior in school is like collecting data on killer whales based on their behavior at Sea World. Every fortnight I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds.

Data 137

How the personal data extraction industry ends

Doc Searls

The main takeaway for me, to both Elizabeth’s piece and Jon’s book, is making clear that Google and Facebook are at the heart of today’s personal data extraction industry, and that this industry defines (as well as supports) much of our lives online. Who Owns the Internet?

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.

Data 250

Are You a "Data Subject"?

Nine Shift

So, are you a 'data subject'? The European Union's new digital privacy law, the General Data Protection Regulation, doesn't just protect European residents or citizens. The law covers 'data subjects.' You are a data subject," writes Atossa Araxia Abrahamian in the NY Times. . A data subject is a person inside or OUTSIDE the European Union whose personal data is used by a controller or processor.

Data 100

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.

Data 170

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.

Data 191

Data

Stephen Downes: Half an Hour

Responding to Cooperative Catalyst, Metrics and "Success" I think data is important (it's the only evidence we have!) but I think that people take a very narrow view of data, which is unfortunate. Instead of attacking the data - which leaves you with no ground to stand upon - it makes more sense to attack the simple-mindedness.

Data 122

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.

Data 207

Uber’s pending sale of your personal data

Doc Searls

Interesting legal hack there: you own your data, but you license it to them, on terms that grant you nothing and grant them everything. As I read that, they have sale on personal data pending until that time. Business data personal data Customer Commons freedom Lyft UberUber has new terms for you : User Provided Content.

Data 181

A helpful approach to personal data protection regulation

Doc Searls

While it addresses proximal concerns in India, it provides useful guidance for data regulators everywhere. An excerpt: Any data protection regulator faces certain unique challenges.

Data 130

democracy, data, and intelligence

Harold Jarche

Scientific American recently asked, ‘ Will Democracy Survive Big Data and Artificial Intelligence? ’. Thanks to Big Data, we can now take better, evidence-based decisions.

Data 173

The Big Data Era Is Here

Irving Wladawsky-Berger

During the meeting, the TRB Executive Committee held a policy session on the impact of big data on transportation systems. Big data and related information-based disciplines, - e.g., data science , artificial intelligence , - are everywhere. Insight vs Data Volume.

Data 173

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. .

Data 173

look for disconfirming data

Harold Jarche

Kahane closed by noting that “almost everything I’ve learned is through the disciplined examination of my experience” as well as an approach of “looking for disconfirming data, as Charles Darwin did”.

Data 191

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.

System 207

Big Data, Science and the Humanities

Irving Wladawsky-Berger

In my opening statement I said that I strongly believe that digital technologies and the many data services they are enabling will make cities smarter and help transform them over time. And then there is the advent of big data.

Data 202

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. . Neither is good data-driven decision making.

Data 181

A Data Science Approach to Organizational Health

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Economic Issues Innovation Management and Leadership Smart Systems Society and Culture Technology and Strategy A 2013 Deloitte report, Success or Struggle?

Data 184

A Framework for the Safe Management of Digital Identities and Data

Irving Wladawsky-Berger

In a world that’s increasingly governed by digital transactions and data, our existing methods for managing security and privacy are proving inadequate. Data breaches, large-scale fraud, and identity theft are becoming more common. Data attributes are generally siloed within different private and public sector institutions, each using its data for its own purposes. The OPAL paradigm is based on several key principles, including: Move the algorithm to the data.

Data 100

Big Data & Analytics in Recruiting

Kevin Wheeler

Big data and analytics are just beginning to be tapped for recruiting and learning, but their future growth will depend on HR practitioners understanding of what big data and analytics can do for them, their willingness to use the data to make decisions and change behavior, and agreement around privacy and ethical use of this […]. The post Big Data & Analytics in Recruiting appeared first on Over the Seas.

owning your data

Harold Jarche

I cannot see why any organization would put all of its data online. It may make sense to have some data in The Cloud to improve flexibility and accessibility, but as we see everyday, these systems break or get hacked. Own your critical data.

Data 149

New Data on Suburbs Still In Decline

Nine Shift

Here's a chart NYTimes did from census data on counties (in red) where deaths exceeded births in 2016 Here's another way to measure the decline of suburbs: deaths versus births by county. This is the issue in my county.

Data 130

Follow the Data to Find the Money

John Hagel

If you want to know where’s the money, then follow the data and don’t get distracted by the technology. Sure, technology is a key enabler of data capture, aggregation, and analytics, but the providers of this technology will not capture the vast bulk of the value – it will be those who have access to this data and, most importantly, those who can creatively find ways to generate economic value from this data. There’s a growing meme that data is the new oil.

Data 144

Data Science: from Half-Baked Ideas to Data-Driven Insights

Irving Wladawsky-Berger

In a Big Data presentation last year, MIT professor Erik Brynjolfsson pointed out that throughout history new tools beget revolutions. Big data is leading to such a measurement-driven revolution, brought about by the new digital tools all around us, including our mobile phones; searches and web links; social media interactions; payments and transactions; and the myriads of smart sensors keeping track of the physical world. Data science is a mashup of several different fields.

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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? ,

Data 186

Why Do We Need Data Science when We’ve Had Statistics for Centuries?

Irving Wladawsky-Berger

Data Science is emerging as as one of the hottest new professions and academic disciplines in these early years of the 21st century. A number of articles have noted that the demand for data scientists is racing ahead of supply. So, what is data science all about?

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. First, much still needs to be done to create the proper data sets that would enable intelligent computers to assist in decision-making. Analysis is essentially rational, quantitative, data-driven decision making and problem solving.

Data 200

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.

Data 199

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.”.

Data 173

Data Science and the Changing Nature of Research and Innovation

Irving Wladawsky-Berger

Both “are moving toward a common language: advances in mathematics, information sciences, and computer engineering allow highly diverse kinds of data to be manipulated in digital form, and this capability will help unlock problems across scientific disciplines.” .

Data 186

Data From The Edge

Andy McAfee

It’s pretty great news if you can convince the leaders of a company to let you access performance data at even a single unit before and after technology goes live. They present the first long-term, before-and-after data on Enterprise 2.0

Data 188

Owning our data

Harold Jarche

With the internet of everything (IoE), once everything is connected, where will our data reside? If things do not work, will we know what has happened to our data? Individual control over data may be a more robust way to to ensure some level of privacy. Do you own your data?

Data 165

Latest Data on Telework

Nine Shift

Here's the latest data on the growth in working from home. Telework continues to be the "silent revolution" in the 21st Century. Regular telecommuting grew by 61% between 2005 and 2009. During the same period, home-based selfemployment grew by 1.7%.

Data 151

Data, Data Everywhere

George Siemens

This article has been an open tab on my browser for a few months (tabs are just another way to store massive amounts of information that I’ll likely never get to): Data, Data Everywhere : All these examples tell the same story: that the world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly.

Data 100

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.

Data 103

Big Data, Clear Prose?

Andy McAfee

The new issue of Harvard Business Review has a spotlight section on Big Data. I try not to do a lot of self-glorification (my favorite synonym for which is ‘ autohagiography ‘) here, but I got a compliment today that meant a lot to me. So I’m going to blow my own horn.

Data 144

Ideas, Experts and Data

Harold Jarche

Data Enslavement – by @ballantine70. Here are some observations and insights that were shared on social media this past fortnight. I call these Friday’s Finds. “ We don’t see something until we have the right metaphor to let us perceive it.”

Data 165

Organizing Big Data Initiatives: Lessons from the Internet

Irving Wladawsky-Berger

In a recent CIO Journal article, Is There a Leadership Vacuum for Big Data? , About 80 percent of the participating companies said that they were already using big data and analytics to a greater or lesser extent.

Data 141