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 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 206

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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.

Big, thick and rich (the data)

Dave Snowden

Complexity, the science of uncertainty allows us insight into reality; anthro-complexity, the science of human complex adaptive systems, allows us to co-create new realities out of the crisis. The post Big, thick and rich (the data) appeared first on Cognitive Edge.

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Agency: privilege & complexity

Dave Snowden

In part that is the question of privilege, in part a failure to really on board the implications of complexity (and I speak here as some who has sinned and may well still be in a state of sin in this regard). The post Agency: privilege & complexity appeared first on Cognitive Edge.

Complex Systems and the “Rashomon Effect”

Irving Wladawsky-Berger

But part of my fascination with the subject is that I often ask myself similar questions when thinking about the equally mysterious world of highly complex emergent systems, that is, systems where the whole can at times be quite different from the sum of their parts.

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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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 238

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.

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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.

Data 275

Organize for Complexity

Harold Jarche

” Well I think Niels has answered much of that question himself, in his recent book Organize for Complexity. We call this “disciplined practice” Fads like business analytics, knowledge management, and big data will never make organizations fit for complexity.

The Firm as a Large, Complex, Extended Family

Irving Wladawsky-Berger

A firms is best viewed as a kind-of rather large and highly complex family. We also form companies and other such organizations to get things done in our work, especially more complex objectives that require the collective skills of multiple people.

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. . A complex context is quite different.

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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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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 242

hold space for complex problems

Harold Jarche

Is backward-looking data – how well a degree prepares one for today’s work – a valid indicator to look forward into the next decade? Every one of the major challenges facing us is complex. But our organizations are not designed for complexity. Complexity Democracy

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

Complex domain: April 2013

Dave Snowden

I've been using the complex domain model for some time now since I first published it. One of my main aims was to move away from a simple categorisation of methods which is the all too frequent use of Cynefin into a more nuanced and varied understanding of complexity.

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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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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How Can We Ensure that Our Complex AI Systems Do What We Want Them to Do?

Irving Wladawsky-Berger

Things are even tougher with people-centric sociotechnical systems, which not only have to deal with potential software problems, but with the even more complex issues involved in human behaviors and interactions. What is it that makes these systems so intrinsically complex?

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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?

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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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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look for disconfirming data

Harold Jarche

Kahane stated that the conventional model of collaboration implicitly means control, it is constricted, and cannot succeed in complex situations when both parties do not want to collaborate. Books Complexity

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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. In principle, such jobs deal with non-routine, cognitive tasks requiring high human skills, including expert problem solving, complex decision-making and sophisticated communications for which there are no rule-based solutions. “As

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Data Science and the Changing Nature of Research and Innovation

Irving Wladawsky-Berger

The study examined the current state of US research and innovation; looked at the role of its key players: academia, industry, and government; and proposed a set of recommendations to better address the highly complex challenges we face in the 21st century information economy.

Data 251

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.

The Complex Nature of Cloud-based Innovation

Irving Wladawsky-Berger

I think of cloud as being fundamentally a kind-of Internet of Services , delivering mass customized services over the Internet to billions of smart mobile devices and trillions of smart sensors, and turning data centers into factories for IT-based services on an industrial scale.

the complexity of capitalism

Harold Jarche

And like all instruments it appeals to a certain instrumental logic, one that craves a simpler world and shies away from complexity. ” Understanding Complexity , via @pourquoi. In Complex problems our practices are always evolving based on what we learn.

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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Blockchain and Public Health Solutions

Irving Wladawsky-Berger

Given the broad scope of the report, I will focus my attention on one area in particular: identity, health records and shared data. Countries with good access to data, - e.g., China, Singapore, South Korea, - were able to take effective steps to control the spread of the pandemic.

Exception handling is complex work

Harold Jarche

Complex, new problems need tacit knowledge to solve them. Exception handling is complex work, which requires passion, creativity and initiative. Today’s complex work is tomorrow’s merely complicated or even simple work. complexity Wirearchy

Bringing the human element and complexity thinking to rebuilding resilience in Puerto Rico

Dave Snowden

We will focus on bringing the transdisciplinary human element and complexity thinking to a fascinating mix of disciplines, ranging from hydrological, electrical and mechanical engineering, meteorology, climatology, and social ecology to data science and social science.

Measuring the Effectiveness of Social Distancing Policies

Irving Wladawsky-Berger

The project, - led by visiting professor Esteban Moro and professor Alex ‘ Sandy ’ Pentland - uses aggregated anonymous geolocation data from digital devices to estimate where different groups of people in US cities spend their time.

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.

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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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Preparing Students for an Increasingly Complex Business World

Irving Wladawsky-Berger

Are engineering and management schools adequately preparing students for our fast-changing, highly complex business world? Online surveys were used to gather additional data.

The Complex Relationship Between Science and the Public

Irving Wladawsky-Berger

Two years ago, the American Academy of Arts and Sciences launched The Public Face of Science , an initiative whose objective is to better understand the complex relationship between scientists and the public in America.

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.

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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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An Increasingly Digital “New Normal”

Irving Wladawsky-Berger

Good design aims to make our interactions with complex products and institutions, - e.g., a business, a healthcare provider, a classroom, a government function, - as appealing and intuitive as possible.

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