Patterns & significance

Dave Snowden

Another with a colleague frustrated by people talking about the validity of statistical patterns for low volume datasets and not realising that simple visualisation can enable an intelligent person who make sufficient sense to act. At all costs in a complex system do not abandon outliers. In SenseMaker® if we present a colour coded dot map on a triangle, humans are more than capable of seeing patterns and using the micro-narratives to glean context.

self-managing for complexity

Harold Jarche

How can they most effectively learn the skills required in the complex domain? How can we prepare people to work in complex, and not highly ordered, work environments in which most problems are exceptions from which some emergent solutions can be continuously developed, learned, and shared?

Fidelity in complex systems consultancy

Dave Snowden

Returning yesterday from my first TedX in Cyprus I was chatting with Sonja Blignaut about some upcoming activities and differences between approaches to sense-making and complexity. In a complex system we: start journeys with a general sense of direction but without precise targets.

System 205

mastering complexity

Harold Jarche

“Our most successful clients have cross-flowing knowledge networks to handle the complexity/variety of their marketplace.” “The One Year Club – organizations that buy tools to embrace a new way of working without understanding fit, and finding it really complex.

hyper-connected pattern seeking

Harold Jarche

Workers have to be able to recognize patterns in complexity and chaos and be empowered to do something with their observations and insights. Innovative and contextual methods mean that standard processes do not work for exception-handling or identifying new patterns.

Intervening in a complex domain

Dave Snowden

A good conversation in Moscow this morning with David Anderson around and about the issue of managing a complex system and as is the way with discussion a half formed idea or two coalesced. But that is the whole point of complexity thinking.

Patterns emerge over time

Harold Jarche

Tweet Andrew Cerniglia has an excellent article that weaves complexity , cynefin and the classroom together. I became interested in complexity as I moved outside the institutional/corporate walls and was able to reflect more on how our systems work.

Complexity and Public Administration

Dave Snowden

Some 10 years ago now when I first became interested in how complexity science might be used in public administration there was a body of thinking but relatively few practical examples of applications. So what is applying complexity thinking to public policy really all about?

Managing in Complexity

Harold Jarche

As our markets and technologies get more complex, we need new models to get work done. However, complex systems are not fully knowable, though they can be partially understood through interaction with them. Complex problems cannot be solved alone. complexity Wirearchy Work

Complex actions workshop

Dave Snowden

Another sign that complexity thinking is coming into its own. There are new action forms for this, and also a whole new approach to portfolio management of complex interventions. A basic introduction to complexity theory using metaphor in the main.

Design thinking & complexity pt 3

Dave Snowden

Only once a pattern emerges should you move it into a more formal process: the complex to complicated shift. In my last post in this series I argued for managed exaptation as a method to avoid premature convergence.

Exception handling is complex work

Harold Jarche

Complex, new problems need tacit knowledge to solve them. We see the flow of sense-making in small bits that over time become a flow and later patterns emerge. We humans are very good at pattern recognition. In complex situations there is no time to write a detailed assessment.

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.

System 231

“Shape Patterns, Not Programs”

Harold Jarche

Excellent lessons and a wealth of references are included in this paper, Changing Homeland Security: Shape Patterns, Not Programs which is applicable to a wide and sundry audience. There is much good advice here for all organizations dealing with complex issues. Tags: Communities Work complexity Advice from Socrates to a man who over-planned his son’s birthday party – “ask the women&# , with the following results: We held the party at Panathinaikon Stadium.

Networks and complexity

Harold Jarche

A cultural change is required in the way we organize our work because of two related factors: Networks & Complexity. The cynefin model shows that emergent practices are needed in order to manage in complex environments and novel practices are necessary for chaotic ones. Tweet.

Complexity links

Harold Jarche

I use Delicious to keep track of web resources and recently passed on, via Twitter, my social bookmarks tagged with complexity. A short explanation of the Cynefin framework (and video by Shawn Callahan ), by Ton Zijlstra : Over the years I’ve seen the number of issues companies and professionals are dealing with shift more and more to the complex realm. Complexity is where predictability is absent, and only in hindsight cause and effect are clear.

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? 360-degree thinking : “Think holistically – be capable of seeing the big picture, recognize patterns, and make imaginative leaps based on those patterns.” .

Organizations and Complexity

Harold Jarche

Tweet I’ve discussed this table before, but I’d like to put it all the links together to highlight what we need to do with our organizations and structures to deal with complexity. Complexity. How we can support emergent practices in the increasingly complex enterprise: COMPLEXITY. Patti Anklam , in discussing value networks and complexity states: Understanding of complexity provides a practical guide to managing context.

Complexity and Collaboration

Harold Jarche

timkastelle Nice post from @EskoKilpi: Complexity. The Internet changes the patterns of connectivity and makes possible new enriching variety in interaction. The sciences of complexity change our perspective and thinking. Our focus should be on the communicative interaction creating the continuously developing pattern that is our life. Tags: Friday's Finds complexity

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 urban patterns remain the same.”

System 150

Complexity and change

Harold Jarche

Complexity. If it seems to too complex for L&D to take on the “responsibility&# for enabling learning across the organisation, then bear in mind that this role will probably be assumed by others, e.g. Bus Ops, IT or Internal Communications departments as their own interests widen.

Strategy and Execution in an Increasingly Complex World

Irving Wladawsky-Berger

Twenty-thirty years ago, the business world was arguably less complex, slower moving and more predictable. A similar confluence has been taking place between strategy and execution driven primarily by the complexity of managing increasingly global and distributed operations and the complexity of strategic planning in a fast changing technology, business and political environments. .

Growing Up in a Complex World

Irving Wladawsky-Berger

The primary challenge emerging out of the CEO conversations was complexity - the fact that CEOs now operate in a world that is substantially more volatile, uncertain and complex. Inheriting a Complex World: Future Leaders Envision Sharing the Planet invited graduate and undergraduate students to participate in a Web-based survey between October 2009 and January 2010. They grew up in a complex world. Several weeks ago IBM released its 2010 Global CEO Study.

Beyond Machine Learning: Capturing Cause-and-Effect Relationships

Irving Wladawsky-Berger

Deep learning is a powerful statistical technique for classifying patterns using large training data sets and multi-layer AI neural networks. Why are there such universal human activity patterns?

Data 191

Edge Perspectives with John Hagel: Retailers and Customers

John Hagel

Almost a decade ago, I detected an intriguing pattern regarding the unbundling and rebundling of firms (purchase unfortunately required). Of course, the pace and trajectory of unbundling (and related rebundling) differs across industries and geographies – the patterns are complex and fractal.

The Simple Test and Complex Phenomena

Stephen Downes: Half an Hour

And this quiz fits true to the pattern: A was the correct response 2 times, B 4 times, C 6 times, D 2 times, E none, and F once.) But if the test measures complex phenomena, then it is going to systematically misrepresent the student's understanding of the phenomena. Specifically, a very simple one-dimensional understanding will fare as well (and in this case, better) than a complex, nuanced understanding. Written after taking the test described by Will Thalheimer.

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

T hey eventually discovered that all event-data representing human activity contain a special set of social activity patterns regardless of what the data is about.

Deep Learning: Is it Approaching a Wall?

Irving Wladawsky-Berger

Deep learning is a powerful statistical technique for classifying patterns using large training data sets and multi-layer AI neural networks. Deep learning methods are particularly valuable in extracting patterns from complex, unstructured data, including audio, speech, images and video.

A Slow Community Movement? | Full Circle Associates

Nancy White

A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system.

Experimentation: chocolate cakes and communicators | Full Circle Associates

Nancy White

What gets us moving beyond our customary habits and patterns? Viv McWaters on 29 Sep 2008 at 8:48 pm Hi Nancy Synchronicity does it for me every time – wakes me up when I start seeing a pattern.

Thinking simply, in context

Dave Snowden

Now complexity theory is if anything a more radical shift in our understanding and it can hurt those accustomed to the case based approach to management, repeating recipes derived from past practice. Then the three basic heuristics of complexity management: Work with finely grained objects.

adapting to constant change

Harold Jarche

It takes keen observation, pattern recognition, suite of subtle tools, and a gentle hand to help guide the knowledge flows in a community. Complexity WorkPerpetual Beta. The future of [human] work is perpetual beta : adapting to constant change while still getting things done.

Change 187

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

Cognitive insight projects take AI to the next level, using machine learning and other advanced algorithms to detect patterns in vast volumes of data. Artificial Intelligence Complex Systems Data Science and Big Data Innovation Management and Leadership Smart Systems Technology and Strategy

Data 207

adapting to perpetual beta

Harold Jarche

Chaos, Complexity, Complication. Complex environments are not chaotic but they cannot be completely understood in advance. Weather systems are complex. Patterns can be sensed and responses prepared, but each case is different. Pretty well all human systems are complex.

Wayne Sutton: how people use social media | Full Circle Associates

Nancy White

Same pattern, methinks. Home About Full Circle Contact Resources Wiki Full Circus Full Circle Associates connections for a changing world, online and offline… Aug 31 2008 Wayne Sutton: how people use social media Published by Nancy White at 3:42 pm under events , social media Good quote. Now take it in the context of how people are using social media in disaster preparedness and response with Gustav.

Has AI (Finally) Reached a Tipping Point?

Irving Wladawsky-Berger

AI suffers from what’s become known as the AI effect : AI is whatever hasn’t been done yet, and as soon as an AI problem is successfully solved, the problem is no longer considered part of AI. “The same pattern will continue in the future,” notes the report. “

Tips 263

Getting on the AI Learning Curve: A Pragmatic, Incremental Approach

Irving Wladawsky-Berger

Machine learning methods are particularly valuable in extracting patterns from complex, unstructured data, including audio, speech, images and video. It’s still quite difficult to explain in human terms the results from large, complex AI applications.

Ask Idealware: Solutions for Tagging and Archiving a Discussion List | Full Circle Associates

Nancy White

It also made me realize that this was yet another thing contributing to my recent pattern of “not getting to blogging.&# Will people go back and use the archived and tagged material, or will they follow the age old pattern of just asking again?

List 100

Minds and Machines

Irving Wladawsky-Berger

It suppresses complexity and information that might contradict its coherent story, unless System 2 intervenes because it realizes that something doesn’t quite feel right. By the end of the Cambrian period, the diversity and complexity of life began to resemble that of today.

Data 208

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

the discipline focused on finding patterns in data and on making well-founded predictions, tests of hypotheses and decisions.”. AI is rapidly becoming one of the most important technologies of our era.

Data 137

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

Irving Wladawsky-Berger

Data analysis has been generally used as a way of explaining some phenomenon by extracting interesting patterns from individual data sets with with well-formulated queries. Unlike database querying, which asks What data satisfies this pattern (query)?

The MIT Intelligence Quest

Irving Wladawsky-Berger

Instead of trying to explicitly program intelligence, this new approach was based on feeding lots and lots of data to the machine, and then letting the algorithms discover patterns and extract insights from all that data.

Data 157

Where is Technology Taking the Economy

Irving Wladawsky-Berger

Powerful computers and intelligent algorithms are enabling us to make sense of all that data by searching for patterns and doing something with the results, including computer vision, natural-language processing, language translation, face recognition and digital assistants.