Managing in Complexity

Harold Jarche

As our markets and technologies get more complex, we need new models to get work done. Simple systems are easily knowable, whereas complicated systems, while not simple, are still knowable through analysis. This can be fostered in a culture of perpetual Beta.

Scale and Complex Systemic Innovation

Irving Wladawsky-Berger

We generally think of large companies as being good at operations and incremental innovations, which require them to excel at management discipline, detailed information analysis and project management. It favors large companies because of their ability to address complex systemic problems, manage the large-scale ecosystems that solving such problems requires, and bring their solutions to market all round the world.

Trending Sources

Traditional Data Analysis and Data Science

Irving Wladawsky-Berger

Domain expertise is also needed to be able to draw the proper conclusions from their analysis, and to communicate their findings to business leaders in their own terms. . As he wrote in Learning from Evidence in a Complex World : .

Data 35

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. .

OMG, its culture change time

Dave Snowden

If in doubt, blame the culture seems to be a golden rule in consultancy and management alike. He starts by belittling the its the way we do things around here definition of culture by referencing the hopelessness of conventional attempts to change process.

Human-AI Decision Systems

Irving Wladawsky-Berger

In modern societies, decision systems provide a leader the ability to make informed and timely decisions, supported by a complex enterprise of distributed information and communication systems that provide situational awareness.

Corporate Survival: Lessons from Biology

Irving Wladawsky-Berger

Let’s take a closer look at the nature of complex adaptive systems. Why are these systems so complex? I found the most satisfying answer to this seemingly Socratic question in an excellent 2002 paper - Complexity and Robustness - by professors Jean Carlson and John Doyle.

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

Irving Wladawsky-Berger

While suitable when economies were dominated by the production of physical goods, GDP doesn’t adequately capture the growing share and variety of services and the development of increasingly complex solutions in our 21st century digital economy.

The True State of Globalization

Irving Wladawsky-Berger

First of all, the claims of a flat world unconstrained by borders, distance and culture have been greatly exaggerated. Ghemawat is co-author of the biennial DHL Global Connectedness Index , a detailed analysis of the state of globalization around the world.

Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

The human brain may well be one of the most complex structures in the universe. To help us address increasingly complex problems, the bulk of modern work , - in technology as well as most other fields, - is more and more team-based.

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

Irving Wladawsky-Berger

A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. AI is now seemingly everywhere.

On the Governance of Blockchain: Lessons from the Internet

Irving Wladawsky-Berger

The Internet and World Wide Web brought a badly needed culture of collaboration and standards to the IT industry. T he Internet continues to have serious limitations for business and economic activity, - including security, complexity and trust.

The Collapse of Complex Business Models ? Clay Shirky

Clay Shirky

The Times’ Paywall and Newsletter Economics » The Collapse of Complex Business Models. In 1988, Joseph Tainter wrote a chilling book called The Collapse of Complex Societies. Every one of those groups had rich traditions, complex social structures, advanced technology, but despite their sophistication, they collapsed, impoverishing and scattering their citizens and leaving little but future archeological sites as evidence of previous greatness. Clay Shirky.

The Importance of Empathy in Our Services-Centric, People-Oriented Economy

Irving Wladawsky-Berger

Cultural competence : Capacity to think, act and move across multiple functions, silos and global cultures. . You must be sincerely interested in understanding other cultural preferences and choices.” .

Skills 117

Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

In 2000, only one-quarter of the world’s stored information was digital and thus subject to search and analysis. Artificial Intelligence Complex Systems Data Science and Big Data Economic Issues Innovation Management and Leadership Smart Systems Society and Culture Technology and Strategy

Data 87

Complexity and Design in Warfare

Irving Wladawsky-Berger

The workshop explored how design-oriented approaches can help us better understand and deal with the very complex problems we are increasingly encountering in all aspects of business, economies, government, public policy, military operations and society in general. Over the past few meetings the Forum has focused on various topics related to complex systems, - how to best understand and manage them in the present, as well as predict and shape their future directions.

The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

Five such attributes were identified in the study: adaptability, cultural competence, 360-degree thinking, intellectual curiosity, and empathy. It’s not so easy to be good at both operations and strategy because they require fairly different talents and cultures.

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

It’s impractical to move all that data to a central cloud for analysis and actions. These factors eventually led to significantly increased management complexities and costs.

Data 116

Blockchain Can Reshape Financial Services… But it Will Take Significant Time and Investment

Irving Wladawsky-Berger

Not surprisingly given their complexity, change comes much slower to global financial infrastructures. The majority of the 130-page report consists of a deep-dive analysis of how DLT might apply to several different use cases.

Is There a STEM Crisis or a STEM Surplus?

Irving Wladawsky-Berger

Their answer, as is often the case with such complex questions, is that both sides are right. Their analysis yielded the following findings: “The STEM labor market is heterogeneous. Is the US facing a critical shortage of STEM skills?

Data 77

Leadership in a Changing World

Irving Wladawsky-Berger

Operational excellence requires detailed analysis of technologies, quality, processes, competitors, customer satisfaction and market segments. Complex Systems Economic Issues Education and Talent Management and Leadership Society and Culture Technology and Strategy

As Big Data and AI Take Hold, What Will It Take to Be an Effective Executive?

Irving Wladawsky-Berger

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 What can executives do to create such a culture?

Data 79

Why Some Work Groups Thrive While Others Falter

Irving Wladawsky-Berger

These include solving problems, comprehending complex ideas, reasoning and planing, learning quickly, adapting to new situations, and so on. Five such attributes were identified in the study: adaptability, cultural competence, 360-degree thinking, intellectual curiosity, and empathy.

Intervention Design: Overcoming Stiff Resistance to a New, Disruptive Innovation

Irving Wladawsky-Berger

With four articles on the subject, HBR ’s overriding message is that design is no longer just for physical products, being increasingly applied to customer experiences, innovation, business strategy, and complex problem solving. .

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

Non-routine, cognitive tasks tend to be high-skill human activities that involve expert problem solving and complex communications for which there are no rule-based solutions. The analysis was repeated for the 2014 occupations, yielding 5 distinct skill factors: .

Why People and Companies Die While Cities Keep Growing

Irving Wladawsky-Berger

Dr. West is Distinguished Professor and Past President of the Santa Fe Institute (SFI), a non-profit research institute dedicated to the study of complex systems. Most surprisingly, their analysis led to a result that no one had predicted.

“Flexible Security”: A Sensible Social Policy for our Digital Age

Irving Wladawsky-Berger

First, all important rules should be subjected to cost-benefit analysis by an independent watchdog… More important, rules need to be much simpler.”. This surprising decline in entrepreneurship is not well understood, and is undoubtedly the result of many complex factors.

The President’s Commission on Enhancing National Cybersecurity

Irving Wladawsky-Berger

Transforming this highly complex ecosystem has proved to be very difficult. Not surprisingly, change comes slowly to such a complex ecosystem.

The Economic Potential of The Internet of Things

Irving Wladawsky-Berger

The report analyzes the long term economic potential of IoT, and uses this analysis to estimate the economic value of several IoT-based solutions by 2025. The study is based on a careful analysis of over 150 concrete IoT applications across the global economy.

Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

How can we best anticipate the future of a complex, fast changing industry like IT? Over time, sophisticated applications were developed to help manage more complex operations, including enterprise resource planning , customer relationship management and human resources.

A Growing Backlash Against the Relentless Advances in Technology?

Irving Wladawsky-Berger

Operational excellence requires detailed analysis of technologies, quality, processes, competitors, customer satisfaction and market segments, and as such, is well suited to a more hierarchic, disciplined style of management.

The Economic and Cultural Polarization of America

Irving Wladawsky-Berger

For most of our nation’s history, whatever the inequality in wealth between the richest and poorest citizens, we maintained a cultural equality known nowhere else in the world - for whites, anyway.” There was a common civic culture, - the American way of life , - “that swept an extremely large proportion of Americans of all classes into its embrace. You might say the country has bifurcated into different social tribes, with a tenuous common culture linking them.”

Class 11

Automation and Employment in the 21st Century

Irving Wladawsky-Berger

McKinsey’s comprehensive report, - over 130 pages, - is the most detailed analysis I’ve seen on the subject. But our analysis shows that humans will still be needed in the workforce: the total productivity gains we estimate will only come about if people work alongside machines.

Data Science - the Emergence of a New Discipline

Irving Wladawsky-Berger

At ease in the digital realm, they are able to bring structure to large quantities of formless data and make analysis possible. Data science goes beyond the use of data mining, business analytics and statistical analysis to look for patterns in large data sets.

Data 78

Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

In a recently published article, Data Science and its Relationship to Big Data and Data-Driven Decision Making , Foster Provost and Tom Fawcett succinctly define data-driven decision making as “the practice of basing decisions on the analysis of data rather than purely on intuition.”

Data 61

The Emergence of Cognitive Computing

Irving Wladawsky-Berger

Major advances must be made not just in the volumes and variety of data collected and analyzed, - including text, voice, images and video, - but also in the speed of the analysis, as many emerging smart applications require very fast response times. then it could move on to help people make better decisions when faced with highly complex problems whose very meaning is not clear and precise.

What’s the Value of a Liberal Arts Education in Our 21st Century Digital Economy?

Irving Wladawsky-Berger

In retrospect, the biggest benefit of my excellent University of Chicago education has been less the physics, math, and computer skills that I learned, and more the ability to address complex problems, to work with a variety of people, and to keep acquiring new knowledge throughout my career.

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.

Data 74

The Vital Role of Research in Preserving the American Dream

Irving Wladawsky-Berger

The report makes the case that over the past half-century, research-based scientific and technological advancements have been the main drivers of economic growth and job creation, and their impact will likely rise in our increasingly complex, knowledge-based society.

Realizing the Potential of the Digital Economy

Irving Wladawsky-Berger

And, because these two powerful forces are highly interrelated, they’re giving rise to a new round of complex questions. . The Brookings Blum Roundtable proved to be an excellent forum for exploring such highly complex questions, - for which we really have no answers.