Human-AI Decision Systems

Irving Wladawsky-Berger

I recently read The Human Strategy , a very interesting article on Human-AI decision systems by MIT Media Lab professor Sandy Pentland. Perhaps the most critical function of any organization or society is its decision systems,” wrote Pentland. “In

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. But, as we well know, there are serious downsides to technology-based automation.

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Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

What’s the value of gender diversity in technology-based disciplines? Is gender diversity an asset for technology-based companies? Are men inherently better than women at technology-based jobs? These are questions that have long been discussed.

Apparently, Organizational Culture is Crap

Dan Pontefract

The one thing we can be assured of until humans safely land and colonize Mars is “ organizational culture ” will continue to be a topic of conversation. ” That sounds like a pretty good starting point of organizational culture to me. yes, through its culture).

Technological Unemployment and the Future of Work

Irving Wladawsky-Berger

Few topics are as important, - and as challenging to anticipate, - than the future of work given our justifiable fears of rising technological unemployment. One such discussion took place this past September at the The World Summit on Technological Unemployment in New York.

Two separate systems?

Clark Quinn

Kotter (the change management guru ), has begun to advocate for a dual-operating system approach, where companies jointly support an operational hierarchy and an innovation network that are coupled. social strategy technology

The Puzzling Technology Adoption Discrepancy Between Individuals and Institutions

Irving Wladawsky-Berger

The Foundation index, measures the fast moving advances in technology performance and adoption, as well as the shifts of global public policy that are reducing the barriers to entry and movement. This discrepancy in technology adoption has been observed for the past few years.

A Growing Backlash Against the Relentless Advances in Technology?

Irving Wladawsky-Berger

Given the relentless impact of technology-based innovation on just about all aspects of society, I like reading the views of different people on the subject, especially those outside my own worlds of technology and business.

Blockchain - Once Again, the Technological Genie Has Been Unleashed from its Bottle

Irving Wladawsky-Berger

The original blockchain vision, - as inspired by Satoshi Nakamoto, - was limited to creating bitcoin, a digital currency and payment system whose users could transact directly with each other with no need for a bank or government agency to certify the validity of the transactions.

Big Data, Complex Systems and Quantum Mechanics

Irving Wladawsky-Berger

In thinking about this question over the last few years, I started to notice that a number of subtle, non-intuitive concepts that I learned many years ago as a physics student seem to apply to the world of big data and information-based predictions in highly complex systems. So is the world of highly complex systems , especially those systems whose components and interrelationships are themselves quite complex, as is the case with systems biology and evolution. .

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.

Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

In the first week of October I participated in a Cognitive Systems Colloquium hosted by IBM at its Thomas J. These systems will learn and interact to provide expert assistance to scientists, engineers, lawyers, and other professionals in a fraction of the time it now takes.” .

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

Irving Wladawsky-Berger

Software-intensive systems are generally quite flexible, - able to evolve and adapt to changing product and market requirements. However, their very flexibility makes it difficult to adequately anticipate and test all the interactions between the various components of the system.

Payment Technologies: Past, Present and Future

Irving Wladawsky-Berger

History can be a useful guide to the future, especially when trying to predict the impact of disruptive changes on human organizations and cultures. I was reminded of this dictum when recently attending a very interesting workshop, Payment Technologies: Past Present and Future.

The Science of Complex Systems

Irving Wladawsky-Berger

When I look back over my long, relatively eclectic career, complex systems have been a common theme in all the activities I’ve been involved in. It started in the 1960s, when I was an undergraduate and graduate student at the University of Chicago majoring in physics, - the study of complex natural systems. My main research interests were centered on large computer systems, including mainframes, supercomputers and distributed systems.

holistic technology

Harold Jarche

I first came across the work of Ursula Franklin through her CBC Massey Lecture series on The Real World of Technology. In political terms, prescriptive technologies are designs for compliance.” But gaming the system means buying into it. Technology

AI and the Productivity Paradox

Irving Wladawsky-Berger

Given the proper context, there are no inherent inconsistencies between having both transformative technological advances and lagging productivity. Another possibility is that the productivity benefits of new technologies are being enjoyed by a relatively small fraction of the economy.

AI and The Future of Work

Irving Wladawsky-Berger

New technologies have been replacing workers and transforming economies over the past two centuries. But, over time, these same technologies led to the creation of whole new industries and new jobs.

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Systems Thinking, Safety and Risk Management

Irving Wladawsky-Berger

Several participants cited the sharp rise in volume and speed of high-frequency trading over the past decade as an example of a current practice that is potentially increasing volatility and systemic risk in financial markets. Toward the end of the roundtable, the moderator asked us to reflect on the kinds of controls needed to make financial systems more stable and less prone to another major crisis. Financial systems are an example of such complex engineering systems.

Complex Sociotechnical Systems: the Case for a New Field of Study

Irving Wladawsky-Berger

Digital technologies are enabling us to develop systems with huge numbers of interconnected components and sophisticated software that infuses them with seemingly unlimited capabilities. We are increasingly able to pull all these capabilities together and develop sociotechnical systems, which combine the powerful, inexpensive and ubiquitous digital technologies with the people and organizations they are transforming.

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. .

A Neural, Digital System for the Economy

Irving Wladawsky-Berger

Most everyone will agree that the world’s economy is undergoing historical structural changes , mostly caused by the digital technology revolution taking place all around us. Dr. Arthur is external professor at the Santa Fe Institute and visiting researcher at PARC’s Intelligent Systems Lab. This second, digital economy is essentially acting as the neural system for the overall economy. Now it is developing a neural system.

The Emergence of Industry 4.0

Irving Wladawsky-Berger

The Third, - following World War II - saw the advent of computers, digital technologies, the IT industry, and the automation of process in just about all industries. A confluence of trends and technologies promises to reshape the way things are made.

Using network perspectives to visualize changing culture and meaning

Ross Dawson

I’m a big fan of Tim Stock ‘s work, which weaves together a deep network perspective with a rich view of how culture is changing informed by semiotic analysis. I earlier shared one of his presentations in a post on how the culture of luxury is changing.

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. AI is now seemingly everywhere.

A Novel Approach for Measuring the True Impact of the Digital Economy

Irving Wladawsky-Berger

Over and above the direct productivity boost that companies enjoy from digital technologies, a more profound chain of indirect benefits also takes place, as the impact spills over within a firm, to its competitors, and throughout its supply chain.

Blockchain and the Music Industry: Turning Pennies into Dollars

Irving Wladawsky-Berger

Digital technologies, - t he Internet, smartphones, cloud computing, … - have literally turned dollars into pennies. Now , blockchain and related technologies may once more play a major role in the music industry, - this time helping to turn those pennies back into dollars.

Digital Technologies for 21st Century Democracy

Irving Wladawsky-Berger

The focus for this year’s conference was Digital Technologies for 21st Century Democracy. I was invited to attend the conference, and participate in the opening plenary panel on D igital Technologies and the Future of Governance. The panel was moderated by Beth Noveck , Professor of Law at the New York Law School , who until recently served in the White House as Deputy Chief Technology Officer and leader of the White House Open Government Initiative.

Corporate Survival: Lessons from Biology

Irving Wladawsky-Berger

Therefore, the principles that confer robustness in these systems, whether natural or manmade, are directly applicable to business.”. Let’s take a closer look at the nature of complex adaptive systems. Why are these systems so complex?

Blockchain and the Future of the Firm

Irving Wladawsky-Berger

It was an era characterized by bureaucratic corporate cultures, - not unlike military hierarchies - focused on organizational power and orderly prosperity. Advances in IT systems and networks have had a big impact on the nature of firms over the past few decades.

Minds and Machines

Irving Wladawsky-Berger

With the advent of ERP systems and the Internet in the 1990s, businesses settled on what McAfee and Brynjolfsson call the standard partnership between people and computers. Its central thesis is that our mind is composed of two very different systems of thinking, System 1 and System 2.

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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.

Our education system stumbles into the future

Harold Jarche

According to a local professor, the New Brunswick education system is too centralized , but it’s not just education. First we might look at the underlying premises of the current system. In addition, the education system is in for some new competition.

A Historical Perspective on the Digital Economy

Irving Wladawsky-Berger

The discussion was centered on Perez’s theory of technology revolutions and economic cycles. According to Perez , since the onset of the Industrial Revolution we’ve had 5 major technology-driven economic cycles , each one lasting roughly 50-60 years.

Automation Anxieties - We’ve Been Here Before

Irving Wladawsky-Berger

Automation anxieties have been with us ever since the 1810s, when the so-called Luddites smashed the new weaving machines that were threatening their textile jobs, and they continued to resurface over the past two centuries right along with advances in technology.

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Nonprofit Organizational Culture Eats Big Data for Lunch

Beth Kanter

Culture Eats Big Data for Lunch – Guest Post by Steve MacLaughlin. Why do some get overwhelmed in the deluge of data flowing from their systems? Perhaps the key to Big Data success can be found amongst the myriad of technologies and terminologies that exist today: Hadoop.

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The Rise of Winner-Take-All Urbanism

Irving Wladawsky-Berger

Our state and local colleges could play that role again with new technologies and business practices. “This would aid the diffusion of new ideas and create an incentive for struggling places to help themselves.”.

Becoming a 21st Century Digital Tinkerer

Irving Wladawsky-Berger

Our educational system has long been based on the assumption that learning is mostly about acquiring knowledge as well as critical skills to enable us to apply whatever we learned in school throughout our careers, say 30 - 40 years.

Is Blockchain Ready to “Cross the Chasm”? Lessons from the Internet

Irving Wladawsky-Berger

These survey results are not surprising for a technology as new and complex as blockchain. With such technologies, you typically have a relatively small number of early adopters. Blockchain has the potential to transform our economic and social systems.

Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

Big data ,- including analytics , data science , artificial intelligence and related information-based technologies - are now everywhere. “Is The convergence of several technology trends is accelerating progress. In short, these systems are trained rather than programmed.”.

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