Building a More Resilient, Data-Driven Economy

Irving Wladawsky-Berger

“With each major crisis, be it war, pandemic, or major new technology, there has been a need to reinvent the relationships between individuals, businesses, and government,” wrote MIT professor Alex “Sandy Pentland in the first chapter of Building the New Economy. Data and AI: A new ecology.

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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 Top Ten Emerging Technologies of 2018

Irving Wladawsky-Berger

For the past several years, the World Economic Forum (WEF) has published an annual list of the Top Ten Emerging Technologies that would be potentially disruptive over the next three to five years while also providing significant benefits to economies and societies.

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.

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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.

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Where is Technology Taking the Economy

Irving Wladawsky-Berger

I recently read Where is Technology Taking the Economy? , The first era, in the 1970s and 1980s, brought us Moore’s law and the dramatic advances in semiconductor technologies. It’s brought us smartphones, ubiquitous sensors, IoT devices and oceans and oceans of data.

[liveblog] Data & Technology in Government

David Weinberger

Part of the importance of this is that students at the Kennedy School are agitating for a much strong technology component to their education on the grounds that these days policy makers need to be deeply cognizant of the possibilities technology offers, and of the culture of our new technology development environment. Tomorrow there is an afternoon of discussions sponsored by the student-led Technology for Change group. Todd Park, White House Technology Advisory.

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Educational Research in Learning Technology

Stephen Downes: Half an Hour

Kerr in this recent post , about how research in educational technology could be improved, but I have disagreements around the edges, enough that I think more discussion is warranted. Here are just a few: - access - it is demonstrably true that educational technology has increased access.

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.

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.

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questioning technology

Harold Jarche

Perhaps hierarchies are a ‘ technology ‘ we no longer need to organize as a society. Dr. Howard says roboticists and programmers need a data set that mirrors the US Census Report. percent of the population is below 18 and the data set doesn’t reflect that, it’s a problem.

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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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.

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Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

IBM defines cognitive systems as “a category of technologies that uses natural language processing and machine learning to enable people and machines to interact more naturally to extend and magnify human expertise and cognition. This is what data science is all about.

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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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Technology and the Future of Media

Irving Wladawsky-Berger

Most everyone will agree that advances in information and communication technologies (ICT) are radically transforming the business landscape. Digital technologies are not only giving rise to more distributed and inclusive models, but are also enabling alternative unilateral-like models.

Technology, Marketing and Storytelling

Irving Wladawsky-Berger

Digital technologies, - mobile, cloud, social, Internet of Things, big data and analytics, AI… - are transforming just about every aspect of business. In addition, technology is now amplifying the impact of storytelling on the customer experience.

The Puzzling Economic Impact of Transformative Technologies

Irving Wladawsky-Berger

As we’ve learned over the past two centuries, there’s generally been a significant time lag between the broad acceptance of a major new transformative technology and its ensuing impact on companies, governments and other institutions.

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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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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A Data Science Approach to Organizational Health

Irving Wladawsky-Berger

Advances in technology are eroding the prevailing business models in industry after industry. Complex Systems Data Science and Big Data Economic Issues Innovation Management and Leadership Smart Systems Society and Culture Technology and Strategy

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technology, economics, and behaviour

Harold Jarche

Technologies are teachers of habit.” His data also suggest that who you know growing up can have lasting effects. Chetty is currently working with data from Facebook and other social-media platforms to quantify the links between opportunity and our social networks.

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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Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

Any sufficiently advanced technology is indistinguishable from magic,” is one of the most memorable quotes of science fiction writer Arthur C. But, as we better understand its promise and limitations, technology becomes just another tool we rely on in our work and daily life.

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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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. Decentralized data architecture.

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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?

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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Leveraging Technology

Clark Quinn

The short story is that the initial approach being taken weren’t leveraging technology effectively. The eye-opener for me was the fact that the approach initially taken wasn’t leveraging technology. Of course, that’s the point of the revolution , getting smarter about aligning technology with how our brains think, work, and learn. Is your organization leveraging technology appropriately? The post Leveraging Technology appeared first on Learnlets.

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?

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Earlier this year, Scientific American , in collaboration with the World Economic Forum , published a special report on The Top Ten Emerging Technologies of 2017. Off-Grid Devices Draw Drinking Water from Dry Air - “Sunlight-powered moisture-absorbing technologies are becoming economical”.

Data Science and the Changing Nature of Research and Innovation

Irving Wladawsky-Berger

Given the intense competitive pressures they face, US companies have reduced their investments in fundamental science and technology research. From the 1940s through the 1980s, there was a considerable flow of ideas, technologies and people between universities, industry and government labs.

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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.”.

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Robocalypse Now? Technology, Productivity and Employment

Irving Wladawsky-Berger

they asked in the paper’s abstract. “Canonical economic theory says no, but much recent economic theory says maybe - that is, rapid advances in machine capabilities may curtail aggregate labor demand as technology increasingly encroaches on human job tasks.”. Is the Robocalypse upon us?,

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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Automation Technologies and the Future of Work

Irving Wladawsky-Berger

Last year, McKinsey launched a multi-year study to explore the potential impact of automation technologies on jobs, organizations and the future of work. “Can we look forward to vast improvements in productivity, freedom from boring work, and improved quality of life?,”

The Top Ten Emerging Technologies of 2016

Irving Wladawsky-Berger

For the past several years, the World Economic Forum (WEF) has published an annual list of the Top Ten Emerging Technologies that would likely have the greatest impact on the world in the years to come. The technologies on the list are not new.

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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Where is Technology Taking the Economy

Irving Wladawsky-Berger

I recently read Where is Technology Taking the Economy? , The first era, in the 1970s and 1980s, brought us Moore’s law and the dramatic advances in semiconductor technologies. It’s brought us smartphones, ubiquitous sensors, IoT devices and oceans and oceans of data. And data can’t easily be owned either, it can be garnered from nonproprietary sources… if past technology revolutions are indicative, we will see entirely new industries spring up we hadn’t even thought of.”.

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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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. After years of promise and hype, technology is now being applied to activities that not long ago were viewed as the exclusive domain of humans.

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A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Last week I discussed a recent Pew Research report on the impact of AI, robotics and other advanced technologies on the future of jobs. These activities are neither candidates for technology substitutions, nor can they be easily complemented with technology-based tools. .