Building a More Resilient, Data-Driven Economy

Irving Wladawsky-Berger

Today we face two simultaneous disruptions: one is the COVID-19 pandemic and resulting economic shock, and the second is the rise of pervasive digital data, crypto systems, and artificial intelligence (AI).” T he two disruptions are highly interrelated. Data and AI: A new ecology.

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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 162
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Big, thick and rich (the data)

Dave Snowden

Now when you talk to people about mass distributed sense-making you often hit the Big Data argument. Give me a bright mathematician, technology tools and lots of data and I create meaning without effort. The post Big, thick and rich (the data) appeared first on Cognitive Edge.

Data 218

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 has been closely intertwined with our digital technology revolution since the early days of the IT industry. But, data science should not only be framed in terms of the digital revolution of the past few decades.

Data 107

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. As a result, we’re at a stage of wanton data extraction that looks kind of like the oil industry did in 1920 or so: It’s a good metaphor, but for a horrible business.

Data 166

Traditional Data Analysis and Data Science

Irving Wladawsky-Berger

Among other questions, moderator Michael Hickins , - a senior editor at the Wall Street Journal and editor of its online CIO Journal , - asked the panel to discuss the difference between the business intelligence and analytics approaches of the past twenty years and the emerging discipline of data science. . In my opinion, data science should be viewed as a multidisciplinary evolution from business intelligence and analytics.

Data 125

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.

Data 141

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 146

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 136

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. Large-scale fraud, identity theft and data breaches are becoming common, and a large fraction of the world’s population lacks the credentials needed to be part of the digital economy. Few institutions will let their critical data out of their premises.

Data 133

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. Later, in my closing remarks , I pointed out that since the qualifier smart essentially means information-based or data-driven, the promise of smart cities is inexorably linked to the general promise of big data and data science , which some have felt are themselves being over-hyped.

Data 157

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. Big data is part of both the digital revolution of the past few decades and the scientific revolution of the past few centuries. These devices generate massive amounts of data, with a lot more to come. Data Quality. “How

Data 129

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. Not only are we now able to collect huge amounts of real-time data about people, places and things, but far greater amounts can be derived from the original data through feature extraction and contextual analysis. players, - was that the very process of analyzing data increases the amount of data by orders of magnitude. . This is what data science is all about.

System 152

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

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. . Equally succinctly, they view data science “as the connective tissue between data-processing technologies (including those for big data ) and data-driven decision making.”. Neither is good data-driven decision making.

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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.). 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. a way to track data (Um, “Wait a minute while I post my interim recommendation about this conversation to my iPhone App.” – NOT.). Data Visualization Visualizations

Data 155

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.

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”. Adam Kahane hosted a webcast this week to discuss his new book, Collaborating with the Enemy. I thought his first book, Solving Tough Problems , was an excellent read so I attended. What follows are from my notes. The quotes are as I wrote them down and may not be Kahane’s exact words.

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A Data Science Approach to Organizational Health

Irving Wladawsky-Berger

McKinsey adopted a more objective, facts-based, data-science-oriented approach to organizational health by developing an Organizational Health Index, comprised of 37 different management practices grouped into 9 different elements: Direction, Leadership, Culture and Climate, Accountability, Coordination and Control, Capabilities, Motivation, External orientation, and Innovation and Learning. . A 2013 Deloitte report, Success or Struggle?

Data 141

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. Measurements and analytics rule at Google. Google’s conclusions have a bearing on where CLOs should be focusing their efforts.

Data 148

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%. Based on current trends, with no growth acceleration, regular telecommuters will total 4.9 million by 2016, a 69% increase from the current level but well below other forecasts. ?

Data 165

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. The Respect Network is an early example of this move, providing a secure network to share private data. Meanwhile, the IoE is seen by some active players in the field as a way to trade data for information.

Data 173

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. The article noted that regulators, policy makers and academics in Europe and the US are increasingly concerned that the vast data assets of digital giants could become a competitive barrier to startups and innovation. 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.

Positivism and Big Data

Stephen Downes: Half an Hour

She writes, data scientists use their quantitative measure, as positivists do, by putting a large number veneer over their research This misrepresents positivism, just as Nathan Jurgenson does in his original article. We can apply these principles to big data analytics, of course, and we can use the standard criticisms of positivism to do it: Underdetermination – this is the ‘problem of induction’ or the ‘problem of confirmation’. The same data will confirm any number of theories.

Data 166

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. Big data ,- including analytics , data science , artificial intelligence and related information-based technologies - are now everywhere. “Is Is big data all hype?,”

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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 125

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. ” Warm Data “can be defined as: Transcontextual information about the interrelationships that integrate a complex system.” Far from solving these dilemmas or resolving the conflicting patterns, Warm Data utilizes these characteristics as its most important resources of inquiry.”

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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. I depend on data.

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 106

The Evolution of Shopping in the Digital Economy

Irving Wladawsky-Berger

More accurate and voluminous data about shopping patterns are breaking down the decades-long relationship between mass consumption and mass production. Using trillions of gigabytes of data, manufacturers know better than ever what customers want.

Data 269

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.” ” – Thomas Kuhn – via @tobiasmeyer. “ Humans require the difficult and messy social routing protocol of trust.” ” – Valdis Krebs @orgnet – via @voinonen.

Data 174

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. People with the necessary skills are scarce, primarily because the discipline is so new that there are no university programs offering data science degrees. . What is data science? ,

Data 150

Are “data hogs” the problem?

David Weinberger

” The new article (for sale, but Benoit summarizes it on his blog) analyzes data from a mid-size North American ISP and confirms their original analysis: Data caps are at best a crude tool for targeting the users who most affect the amount of available bandwidth. But here’s the gist: Benoît and Herman looked at the actual usage data in five minute increments of broadband customers sharing a single aggregation link.

Data 199

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. Given the central role of big data with CUSP and with other initiatives I’m involved with, I’d like to step back and reflect on what this all means. What is data science? ,

Data 157

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.

Rethinking Personal Data

Irving Wladawsky-Berger

In 2010, the World Economic Forum (WEF), launched a project on Rethinking Personal Data. The project brought together experts from business, government, academia and end user privacy and rights groups to examine the challenges and opportunities involved in properly managing the explosive growth of personal data in the digital world. In January of 2011 they published their first report, - Personal Data: the Emergence of a New Asset Class. .

Data 133

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. This is a particularly interesting project because economic data in emerging markets is often not as reliable as the data in more advanced markets.

Data 107

[liveblog] Data & Technology in Government

David Weinberger

DJ Patil, the first US Chief Data Science, five days into his tenure. Lynn Overmann – Deputy Chief Data Officer, US Dept. ” The velocity is the support of the President who deeply believes in open data and technology. Data scientists are force multipliers. has huge amounts of data and needs help unlocking it. [ In a previous session, Lynn explained that Commerce offers almost no public-facing servies except gathering and releasing data.

Data 135

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. But, the situation is rapidly changing, as universities around the world have started to offer different kinds of graduate programs in data science. So, what is data science all about?

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

New Book, Great Data

Nine Shift

A new book, The New Geography of Jobs, by Enrico Moretti, has great data supporting our 9 major Nine Shift predictions. Fascinating data, all supporting NineShift. Moretti''s basic contention, which we reported several years ago, is that there''s a huge migration of young people going on right now in the U.S. to new economy cities, what we sometimes call 21st century cities. Moretti''s underlying ''force'' in this migration is a college education.

Data 126

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. For the past ten years I have advocated owning your data. Most often it’s your privacy, as you do not own your data, or you may have to put up with advertising on your application, or both.

Data 110

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. Our data, and data about us, is the crude that Facebook and Google extract, refine and sell to advertisers. adtech advertising Business data Ideas infrastructure Internet Law marketing News Technology VRM