The Emergence of Industry 4.0

Irving Wladawsky-Berger

Over the past few years, Industry 4.0, - aka the 4th Industrial Revolution, - has been the subject of several articles, studies, and surveys, as well as a book published earlier this year by Klaus Schwab , founder and executive chairman of the World Economic Forum (WEF). Industry 4.0

Blockchain and the Music Industry: Turning Pennies into Dollars

Irving Wladawsky-Berger

Just about every industry has been significantly transformed in the past few decades. But few have been as disrupted as the music industry. According to the Recording Industry Association of America (RIAA), revenues fell from roughly $12 billion in 2006 to around $7 billion in 2010.

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The Fourth Industrial Revolution

Irving Wladawsky-Berger

The Fourth Industrial Revolution: what it means, how to respond was the central theme of the 2016 World Economic Forum (WEF) that took place earlier this year in Davos, Switzerland. Scope : Disruptions are taking place in “almost every industry in every country.”.

systems thinking

Harold Jarche

Leyla Acaroglu has an excellent post on Tools for Systems Thinkers: The 6 Fundamental Concepts of Systems Thinking. “In Use a tool like Twitter to get perspectives from different cultures, industries, countries, genders, and ages.

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.

One More Industry Where Employment is Dropping as Output Rises

Andy McAfee

” This employment decline has taken place despite the fact that US financial industry profits are at an all-time high. This continues a pattern we’re seeing in other industries.

Third Industrial Revolution – Review

Harold Jarche

Tweet The future should be networked writes Jeremy Rifkin in The Third Industrial Revolution. He sees the next industrial age, one bridging industrialism to continental collaboration as the most feasible post-carbon future.

Design Principles for Complex, Unpredictable, People Oriented Systems

Irving Wladawsky-Berger

But, they do not work so well when dealing with highly complex systems with fast changing, interacting components, where it is much less clear what is going on in the present, let alone how things will evolve into the future. What do we mean by applying design principles to complex, unpredictable, people oriented systems and problems? But the mechanisms to increase robustness will in turn make the system considerably more complex.

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Learning and Performance Support Systems

Stephen Downes: Half an Hour

This post is to introduce you to our Learning and Performance Support Systems program, a new $19 million 5-year initiative at the National Research Council that I will be leading.

Compliance of an industry

Harold Jarche

Mandated training is a standard response by industry regulators when dealing with human performance issues. That mindset also permeates the training industry. So why doesn’t the industry raise a fuss over wasteful and ineffective training?

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.” .

Grand Unified Theory of Service Design, Systems Design, and Organization Design

Adaptive Path

Jeff Sussna is an internationally-recognized systems thinker and IT expert, combining engineering expertise with an ability to bridge business, creative, and technical perspectives. The other thing is, I think a lot about the relationship between designing and operating systems and designing and operating organizations. This is where organizational design and system design really become inseparable. And our systems get better and better as we go.

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. Addressing the problems of centralization is an issue with all established institutions as we shift from an industrial to a networked economy.

Social systems need diversity

Harold Jarche

Is it so difficult to see that our education system is badly broken? It’s about collecting data that tells you more about your business, your customers, your stakeholders, your products, your industry, your environment.

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.

A Neural, Digital System for the Economy

Irving Wladawsky-Berger

Dr. Arthur is external professor at the Santa Fe Institute and visiting researcher at PARC’s Intelligent Systems Lab. Digitization is creating a second economy that’s vast, automatic, and invisible - thereby bringing the biggest change since the Industrial Revolution,” he writes at the very beginning of the article. They gave access to the east’s industrial goods; they made possible economies of scale; they stimulated steel and manufacturing - and the economy was never the same.”.

A framework for industry leadership based on collaboration

Ross Dawson

As part of the workshop we used a framework that I originally developed over a decade ago in the context of collaboration in the financial services industry, but I have used in the last year in industries as diverse as healthcare, airlines, and professional services.

Innovating our way out of the industrial era

Harold Jarche

Our main constraints are our artificial structures, especially our schooling systems. I have frequently said that simple and complicated work is getting automated and outsourced and that the real value in the networked enterprise is in complex (creative) work.

Why it matters that networks in organizations and social systems are shifting to power-law distributions

Ross Dawson

’ * There are many factors, such as positive feedback loops and self-organisation , that are shifting systems towards power-law distributions. The shift towards scale-free networks is visible across many domains , including social networks, industries, and politics.

Our New Head of Service Design: On the state of the industry, its value, and why Capital One

Adaptive Path

Where is the industry headed? Rather, it is a social practice that supports and weaves through just about everything a business does : from that first moment of truth with a customer, where they engage, keep engaging, and ultimately become an advocate; to the thoughtful design of the systems, technology, culture and practices of the teams that enable all of this. Hey, there’s someone we’d like you to meet.

Dr. Watson, Please Report to the Health Care System

Andy McAfee

In his op-ed, Verghese frets a good bit about the digitization of health care delivery, but I’m eager for technology to improve this inefficient , error-filled , and pre-industrial industry. Physician, professor, and novelist Abraham Verghese wrote a recent op-ed in the New York Times in reaction to the news that IBM is working with the universities of Columbia and Maryland to adapt Watson , the Jeopardy! champion supercomputer , to the task of medical diagnosis.

2012 Philanthropy and Social Investment Industry Report Now Available

Beth Kanter

For the past three years, my colleague Lucy Bernholz has published her annual Philanthropy and Social Investing: Blueprint, an industry forecast about the social economy – private capital used.

AI and the Productivity Paradox

Irving Wladawsky-Berger

Even after reaching a tipping point of market acceptance, it takes considerable time, - often decades, - for the new technologies and business models to be widely embraced by companies and industries across the economy, and only then will their benefits follow, - including productivity growth.

6 uncertainties that will shape the future of mobile operating systems

Ross Dawson

I began by looking at the mobile operating system landscape, showing the forecasts recently made by Gartner, as below. I would not make the same forecasts for a number of reasons, however Gartner’s figures are a reasonable stab at what mobile operating system shares might be.

State of the LCMS with Mark Hellinger

Xyleme

It seems to me that this is a good time to comment on the state of the Learning Content Management Systems (LCMS) market given the many changes in 2012. Industry News Post Type: Blog post. read more.

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AI and The Future of Work

Irving Wladawsky-Berger

But, over time, these same technologies led to the creation of whole new industries and new jobs. While the technologies of the industrial economy helped to make up for our physical limitations, the technologies of the digital economy are now enhancing our cognitive capabilities.

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AI, Automation and the US Economy

Irving Wladawsky-Berger

We can expect a great need for highly-skilled software developers and engineers to put AI to practical use across multiple industries. Similarly, t he increased use of robotics will be accompanied by major changes in manufacturing systems.

Corporate Survival: Lessons from Biology

Irving Wladawsky-Berger

The carnage might be more pronounced in the fast-changing IT industry, but no industry is immune. Therefore, the principles that confer robustness in these systems, whether natural or manmade, are directly applicable to business.”. Why are these systems so complex?

Where is Technology Taking the Economy

Irving Wladawsky-Berger

From mainframe and supercomputers to PCs and workstation, IT was now being used in a wide variety of applications, from financial services and oil exploration, to computer-aided design and office systems. “The economy for the first time had serious computational assistance.”.

The MIT Systems Thinking Conference

Irving Wladawsky-Berger

I recently participated in MIT’s 2010 Systems Thinking Conference for Contemporary Challenges. This annual conference is sponsored by Systems Design and Management (SDM) - an interdisciplinary program between MIT’s School of Engineering and Sloan School of Management. The SDM program aims to provide mid-career professionals with a systems perspective that will help them address and solve large-scale, global, complex challenges.

An Operating System for the Mind

Stephen Downes: Half an Hour

Interestingly, that's how many people used to think of electronic information systems - as mechanisms into which you input facts to facilitate easy discovery and retrieval. The computer, or online systems (such as Minitel) were visualized as giant electronic libraries, with the sum total of the world's knowledge at our disposal. Put the facts into the system, and come up with some mechanism to get them out. Let's return to the computer system analogy.

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

Irving Wladawsky-Berger

A truly digital economy is one in which businesses from across the industrial spectrum are investing in digital and making the most productive use of it,” notes the report. “The mechanisms by which this is happening are complex and evolving.

The Emerging Data Economy

Irving Wladawsky-Berger

Data has been closely intertwined with our digital technology revolution since the early days of the IT industry. Hardware and software platforms have long raised competitive concerns in the IT industry, due to the economic power of network effects.

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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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Digital Twin: Bringing the Physical and Digital Worlds Closer Together

Irving Wladawsky-Berger

A Digital Twin is essentially a computerized companion to a real-world entity, be it an industrial physical asset like a jet engine, an individual’s health profile, or a highly complex system like a city.

Blockchain and the Future of the Firm

Irving Wladawsky-Berger

Big, multinational companies dominated most industries, - GM, Ford and Chrysler in cars, Citibank, American Express and Morgan Stanley in finance, and Esso/Exxon, Mobil and Texaco in oil and gas.

Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

To understand what might account for such large gender disparities in the incidence of autism, Baron-Cohen formulated the Empathizing-Systemizing theory, which classifies people on the basis of their scores along two key dimensions: empathy (E) and systems (S).

June Round-up of Learning Industry News

Xyleme

The partnership will provide schools with access to a broad range of HMH curriculum via Agilix’s BrainHoney® learning management system. Edgenuity recently completed 13 Online and Blended Learning Summits involving over 700 school and district leaders.

Automation Anxieties - We’ve Been Here Before

Irving Wladawsky-Berger

What will my industry look like in 10 years?; In fact, it will usher in once-in-a-century growth prospects as we reengineer our infrastructure, our industries, and our institutions.… Discovery : “Leverage AI to conceive entirely new products, new services, and entirely new industries.

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Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

Given rapid technological advances, the question for companies now is how to integrate new capabilities into their operations and strategies - and position themselves in a world where analytics can upend entire industries.”. In short, these systems are trained rather than programmed.”.

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