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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The Puzzling Personal Productivity Paradox

Irving Wladawsky-Berger

Yet, despite these impressive advances, for most of this period economies around the world have been stuck in an era of slow productivity growth. Individuals are also experiencing their own version of the productivity paradox. What accounts for this personal productivity paradox?

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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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The New Era of Smart, Connected Products

Irving Wladawsky-Berger

An equally optimistic view was expressed in another excellent article, - How Smart Connected Products are Transforming Competition , - published in the November issue of the Harvard Business Review by Michael Porter and James Heppelmann. . IT is now an integral part of the products themselves.

Remote Work is Surprisingly Productive, But For Many… Something Is Missing

Irving Wladawsky-Berger

The survey was based on two separate national samples of US data, - one which gathered 25,000 responses in early April, and the second another 25,000 responses in early May. What If Working From Home Goes on … Forever?

The Productivity Puzzle

Irving Wladawsky-Berger

Economic growth has two main components, productivity growth and the growth of the labor force. I ncreasing productivity is thus more crucial than ever to promote economic growth. From 1987 to 2004 US labor productivity grew at a 2.1% The Difficulty of Measuring Productivity.

Robocalypse Now? Technology, Productivity and Employment

Irving Wladawsky-Berger

His presentation was based on a paper co-written with Utrecht University economist Anna Salomons. “Is productivity growth inimical to employment?,” Their paper addressed three major questions: Has productivity growth threatened employment, especially in advanced economies?

The Productivity Paradox: Digital Abundance and Scarce Genius

Irving Wladawsky-Berger

Despite the relentless advances of digital technologies, productivity growth has been declining over the past decade. Translating technological advances into productivity gains requires major transformations in business processes, organization and culture, - and these take time.

From Mass Production to Mass Individualism

Irving Wladawsky-Berger

All kinds of new products and services, like Airbnb, are now coming to market. Mass production was a defining hallmark of the 20th century industrial economy, bringing high productivity and low costs to a wide variety of offerings, - from household appliances to hotel chains.

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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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.

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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. . Neither is good data-driven decision making.

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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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Impact of Data Analytics in Today’s Digital Workplace

Luis Suarez

So, how about if I share with you all how I got involved into the space of data analytics for online collaborative environments in the first place? Anyway, back to data analytics. But now, showing it with data, with facts, not just with my own thoughts, opinions and know-how.

Become a More Productive, Empathetic, Creative Person With the Help of AI-Based Tools

Irving Wladawsky-Berger

Despite dramatic advances in technology, most of the world’s economies have been stuck in a long period of slow growth and slow productivity. We’ve long been leveraging technology to help increase productivity.

Cloud, Services and the Transformation of Production

Irving Wladawsky-Berger

Cloud-based services require a much more standardized, mass customized , process oriented, industrialized approach to production , including the application of advanced technologies and rigorous science, engineering and management methodologies. .

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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AI and the Productivity Paradox

Irving Wladawsky-Berger

But, at the same time, productivity growth has significantly declined over the past decade, and income has continued to stagnate for the majority of Americans. This puzzling contradiction is addressed in Artificial Intelligences and the Modern Productivity Paradox , a working paper recently published by the National Bureau of Economic Research (NBER). Economists have proposed competing explanations for declining productivity growth and so far have failed to reach a consensus.” .

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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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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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. 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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Data Science and the Changing Nature of Research and Innovation

Irving Wladawsky-Berger

Establishing productive collaborations between academia and industry has been difficult. Throughout this period, research discoveries in the physical sciences were rapidly translated by engineers into innovative products. Quite possibly, data science can be a catalyst for the.

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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?

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Data Informed, Not Data Driven: The Subtext

Adaptive Path

I want to introduce you to a UX Week talk called “Data Informed, Not Data Driven&# by Adam Mosseri, Product Design Manager at Facebook. Adam Mosseri, UX Week: Data Informed, Not Data Driven from Adaptive Path’s UX Week Videos.

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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.

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UX Week 2014 Keynote Josh Clark on the Future of Digital Product Design

Adaptive Path

In this interview, Josh and I talk about the current trends in digital product design, and where those trends might be heading. But what has become especially exciting and daunting and a little scary is how data has begun to change everything.

Solow Paradox 2.0: The Lagging Impact of Technology Advances on Productivity Growth

Irving Wladawsky-Berger

Our aging economies are thus dependent on productivity gains to drive long-term economic growth , future prosperity and higher standards of living. Their average productivity growth in the 5 years between 2000 and 2004 was 2.4%. The waning of the mid-1990s productivity boom.

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.

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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.

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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. .

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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.

Xyleme Product Update: Pastiche 2.4 for the iPad – Content monetization and more

Xyleme

Users can browse your catalog of products directly within the app and pay to get access to the content they are interested in. Get reports on books uploaded, users in the system, groups and sales and export them in a CSV format to process the data in tools like Microsoft Excel.

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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[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.

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We can do better than selling our data

Doc Searls

If personal data is actually a commodity, can you buy some from another person, as if that person were a fruit stand? Nor is there much if any evidence that businesses will want to buy personal data from individuals, on a per-person basis, especially when they can still get it for free. First is that, economically speaking, data is a public good , meaning non- rivalrous and non- excludable. Of course Jefferson never heard of data.

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Data is nothing without people

Harold Jarche

In the next great industrial revolution will be data-driven , the major premise is that data factories are “ changing the nature of work by allowing freelancers to market their services to an increasingly large audience.” But all they really have is data.

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Big Data: Running out of Metric System…

Andy McAfee

I recently came across two very different pieces of evidence showing how big a deal big data is. A friend who works at PWC called me up a little while ago to ask if I knew of any data jocks who were looking for work. – its products could work with.

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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Xyleme Product Update: Pastiche 2.4 for the iPad – Content monetization and more

Xyleme

Users can browse your catalog of products directly within the app and pay to get access to the content they are interested in. Get reports on books uploaded, users in the system, groups and sales and export them in a CSV format to process the data in tools like Microsoft Excel.

The means of production

Harold Jarche

The means of production are knowledge, creativity and ingenuity. Knowledgeable people are the means of production. Does this mean that “we&# own the means of production? Then these corporations reap the profits through advertising and the sale of aggregated data.

The Data Bubble II

Doc Searls

In The Data Bubble , I told readers to mark the day: 31 July 2010. ‘Scrapers’ Dig Deep for Data on the Web. Four Aspects of Online Data Privacy. Digits Live Show: How RapLeaf Mines Data Online. Once we have that, the level of economic activity that follows will be a lot higher, and a lot more productive, than we’re getting now just by improving the world’s biggest guesswork business.

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