Understanding complexity

Harold Jarche

Thinking of complex adaptive systems as merely complicated entities that can be regulated like machines can lead to disaster, as Niall Ferguson shows in his recent book. Human systems are complex. He also elaborates on 16 attributes of effective ways to address complex problems.

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

Business analytics predates the big data era. Beyond business analytics, new data science methods could now be used to extract actionable knowledge from all that data, that is, knowledge to help make better decisions and predictions.

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Open Learning Analytics: A proposal

George Siemens

Learning analytics are increasingly relevant, and prominent, in education. Startups and established software vendors are targeting learning analytics in their product offerings for the education and training and development sector.

Open Symposium: Policy and Strategy for Learning Analytics Deployment

George Siemens

We ( SoLAR ) are organizing an online symposium on Policy and Strategy for Learning Analytics Deployment. Educational data is complex. The problem of data, at a systems level, seems too large and too complex to tackle.

Design Principles for Complex, Unpredictable, People Oriented Systems

Irving Wladawsky-Berger

An IBM Global CEO Study conducted in 2010 concluded that complexity was the primary challenge emerging out of its conversations with 1,500 CEOs and senior government officials. CEOs told us they operate in a world that is substantially more volatile, uncertain and complex. Over the past several years, we have seen a rising emphasis on design, creativity and holistic thinking in business to help us deal with an increasingly volatile, unpredictable complex world.

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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. The research for my thesis was focused on the highly complex world of atoms and molecules.

The Complex Transition to the Age of the Cloud

Irving Wladawsky-Berger

While the skeptics’ concerns, - security, reliability, privacy, costs and others, - are quite real, the hardest part of implementing cloud strategies has little to do with technology. We can use real time information and powerful analytics to help us understand and optimize the very way everything works in an attempt to make the world more efficient and smarter. Cloud computing is a highly complex initiative - at the technical, business and organizational levels.

Reflecting on Learning Analytics and SoLAR

George Siemens

The Learning Analytics and Knowledge conference (LAK16) is happening this week in Edinburgh. I have great hope for the learning analytics field as one that will provide significant research for learning and help us move past naive quantitative and qualitative assessments of research and knowledge. Would you be interested in participating in a discussion on educational analytics (process, methods, technologies)? Not everyone was a fan of the idea of learning analytics.

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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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.

The Emerging Data Economy

Irving Wladawsky-Berger

Physicists, astronomers, biologists, and other scientists and engineers were developing methodologies and architectures for dealing with very large volumes of unstructured data, as well as analytical techniques, like data mining , for discovering patterns and extracting insights from all that data.

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Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

This past semester I was involved in an interesting course at MIT’s Sloan School of Management , - Analytics Labs (A-Lab). A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems.

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Serious AI Challenges that Require Our Attention

Irving Wladawsky-Berger

Police agencies hope to do more with less by outsourcing their evaluations of crime data to analytics and technology companies that produce predictive policing systems.

Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Design thinking is now being applied to abstract entities, - e.g. systems, services, information and organizations, - as well as to devise strategies, manage change and solve complex problems.

The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

A growing number of articles have been extolling the value of T-shaped professionals , that is, individuals who combine deep cognitive, analytical, and/or technical skills in a specific discipline, with broad multidisciplinary, social skills.

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. Its mission is to explore new ideas and emerging trends that will help support high-level Department of Defense (DoD) policy and strategy. A significant goal of CACD is a shared understanding of complex problems.

The Datafication of Business and Society

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Digital Money and Payments Economic Issues Innovation Management and Leadership Society and Culture Technology and Strategy

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The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

The social matrix, the Internet of all things, big data and advanced analytics, and realizing anything as a services are the report’s top four trends. SMAC - Social, Mobile, Analytics & Cloud, - has become the new plastics , capturing the future of IT in one word, or rather, one acronym.

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Reflections on Storytelling

Irving Wladawsky-Berger

And, the more powerful, important and complex the messages you are trying to convey, the more important it is that you do so by telling a compelling and emotionally resonant story. . I was personally closely involved in developing and communicating our e-business market strategy.

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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. A few weeks ago I first learned about a relatively new concept - Digital Twin.

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

Irving Wladawsky-Berger

Others include biometrics, cloud computing, cognitive computing, machine learning and predictive analytics. Not surprisingly given their complexity, change comes much slower to global financial infrastructures. Transforming this highly complex global ecosystem is very difficult.

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

These factors eventually led to significantly increased management complexities and costs. Most IoT business models also hinge on the use of analytics to sell user data or targeted advertising.

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Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

Go is a very complex game, for which there are more possible board positions than there are particles in the universe. A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further.

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

The evolution from traditional to digital supply chains is driven by five key game changers: Real Time Big Data and Analytics. Blockchain and Identity Complex Systems Data Science and Big Data Economic Issues Management and Leadership Services Innovation Technology and Strategy

The (Uneven) Digitization of the US Economy

Irving Wladawsky-Berger

Non-IT intensive industries have not seen a comparable widening of the performance gap - an indication that deployment of technology can be an important differentiator of firms’ strategies and their degree of success…”.

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Why Do We Need Data Science when We’ve Had Statistics for Centuries?

Irving Wladawsky-Berger

One of the best papers on the subject is Data Science and Prediction by Vasant Dhar , - professor in NYU’s Stern School of Business and Director of NYU’s Center for Business Analytics , - which was published in the Communications of the ACM in December, 2013.

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.

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

The period from 2006 to 2014 saw the advent of several major digital innovations , including smart mobile devices, social media, big data and analytics, cloud computing and the Internet of Things.

The Internet, Blockchain, and the Evolution of Foundational Innovations

Irving Wladawsky-Berger

Each phase is defined by the degree of novelty, - low or high, - of the applications being supported, and by the complexity required to coordinate the various elements of the application.

The Growing Value of Social Skills

Irving Wladawsky-Berger

These include manual jobs in fast-food restaurants, janitorial services and health-care aides that require relatively low skills and education, as well as high-skill jobs that involve expert problem solving and complex communications requiring strong cognitive skills and a college education.

Jobs, Skills and Education

Irving Wladawsky-Berger

It found that employment growth was highest in occupations requiring higher social or analytical skills, - those skills we most associate with a college education. Economists don’t generally agree on much, given the complexities of their discipline.

What Will Life Be Like in an AI Future?

Irving Wladawsky-Berger

Interest in AI declined until the field was reborn in the 1990s by embracing an engineering-based data-intensive, analytics paradigm. I believe that in the end, it comes down to which of two major forces will prevail over time - exponential growth or complexity brake. .

The New Era of Smart, Connected Products

Irving Wladawsky-Berger

We generally think of products as physical entities, - e.g., clothes, light bulbs, appliances, cars, - some quite simple and some much more complex, built using sophisticated mechanical and/or electrical components.

How Will AI Likely Impact How We Work, Live and Play?

Irving Wladawsky-Berger

Public safety and security. “One of the more successful uses of AI analytics is in detecting white collar crime, such as credit card fraud.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Most high-skill jobs involve expert problem solving, complex communications and other cognitive human activities for which there are no rule-based solutions. Last week I discussed a recent Pew Research report on the impact of AI, robotics and other advanced technologies on the future of jobs.

Embracing Disruptive Change - Why Is it So Difficult?

Irving Wladawsky-Berger

Is it that in spite of all their strategy efforts, their management is unable to anticipate the changes and is caught by surprise? In essence, why there are limits of strategy.” . Complex Systems Economic Issues Innovation Management and Leadership Technology and Strategy

The Era of Cognitive Computing

Irving Wladawsky-Berger

Can it help us understand our incredible complex economies and societies? . This is pretty much how a human experts would make decisions in endeavors like medical diagnoses, financial advice, customer service or strategy formulation.

Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

They tend to be complex, and unstructured because of the uncertainty and risks that generally accompany longer term decisions. A complex context is quite different. Circumstances change, however, and as they become more complex, the simplifications can fail.

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The Continuing Evolution of Service Science

Irving Wladawsky-Berger

Services are now front and center in some of the most prominent areas in IT, such as analytics and data science, cloud computing, and design thinking. Analytics and Data Science. Yet, they account for the bulk of the growing complexity in our daily lives.

Data Science - the Emergence of a New Discipline

Irving Wladawsky-Berger

Data science goes beyond the use of data mining, business analytics and statistical analysis to look for patterns in large data sets. Complex Systems Data Science and Big Data Education and Talent Innovation Management and Leadership Society and Culture Technology and Strategy

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