Share Best Practices - Patterns

Tony Karrer

Dodged that bullet. :) Patterns and Knowledge Work I understand the concern that when you share best practices, you may come out with very different results. Making sense generates cues and allows one to recognize patterns, both in the nature of the problem and response.

Social Physics and Cybercrime Detection

Irving Wladawsky-Berger

Social physics is based on the premise that all event-data representing human activity, - e,g,, phone call records, credit card purchases, taxi rides, web activity, - contain a special set of group behavior patterns.

Data 196

Big Data Takes Center Stage

Irving Wladawsky-Berger

The first is what they call n=all, that is, collect and use lots of data rather than settling for small samples, as statisticians have done until now. “The The way people handled the problem of capturing information in the past was through sampling.

Data 245

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.

Informing the peace makers

Dave Snowden

In this use of SenseMaker® statistical valid samples of both populations would be engaged to reflect daily on their situation and reports of the negotiations. One of the principles of managing a complex adaptive system is the need for fast feedback loops.

Sample 168

Machine Learning and Knowledge Discovery

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems like language translation and natural language processing.

Data 182

Scaling the Heights of Language, its Learning, and its Teaching

Stephen Downes: Half an Hour

Complexity theory - scientists seek patterns and relations within systems. In complex systems you have systems made up of components which interact, and give rise to patterns at other levels of complexity. The interactions of people communicating creates patterns.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems like computer vision, natural language processing and machine translation.

A diversity of perspectives for an authentic sense of reality in healthcare

Dave Snowden

The disturbing, shocking, and unexpected patterns of meaning are precisely the moments when sense-making is expanded and SenseMaker® delivers on its purpose inherent in its name.

Sample 198

Using Computers to Cure Medicine’s Pathologies

Andy McAfee

I read a little while back that a team at Stanford and elsewhere had developed a program that could accurately diagnose breast cancer by doing digital image processing of tissue sample. ” The trained C-Path software was then set to work analyzing a separate set of 328 Canadian samples.

Sample 211

Customer experiences as narrative landscapes

Dave Snowden

As such the focus is on capturing a sufficient sample of a wider flow of experiences moment to moment. The opening image, shown again below, is a sample of a narrative landscape.

Sample 232

the neo-generalist

Harold Jarche

One metaphor used by the authors of The Neo-Generalist is ‘frequency hopping’, “wandering, accumulating, sampling, mixing, putting into practice what they learn.” A neo-generalist is somewhere between a polymath and a hyperspecialist.

Sample 207

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. After decades of promise and hype, artificial intelligence has finally reached a tipping point of market acceptance.

Data 207

Narratives of Culture: 1st movement

Dave Snowden

With the new Scan you can start with the whole workforce or take a sample every week or month. As I pointed out in my second post in this series, its all about seeing emerging patterns rather than some absolute measure.

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems like language translation, natural language processing, and playing championship-level Go.

Data 140

Roots determine routes?

Dave Snowden

Limited sample and limited time were both valid criticisms of any attempt to claim a universal truth. So having got some evidence their next programme seeks to replicate that over longer periods with better and more extensive sampling.

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. After decades of promise and hype, artificial intelligence has finally reached a tipping point of market acceptance.

Data 165

Narratives of culture: the score

Dave Snowden

Suffice it to say for the moment that this uses SenseMaker® and a non-hypothesis question that can be asked of the whole workforce or just a sample: What story would you tell your best friend if they were thinking of joining your workgroup?

first we shape our tools

Harold Jarche

But never before have we relied on things that did not mirror human patterns of reasoning — we knew what each notch represented — and that we could not later check to see how our non-sentient partners in knowing came up with those answers. We make speculative leaps based on small samples.

Tools 180

iPad swiftly becomes the dominant medium for reading and entertainment

Ross Dawson

The results are really quite extraordinary, when you consider that this sample of very recent users of iPads have transformed their media engagement habits, supplanting print for reading and computers for a number of other information behaviors.

Sample 211

Thinking through performing and learning

Clark Quinn

We might need data to look for patterns, or models to help us solve the problem. Again, there are a suite of related skills: leadership, representation and modeling, systematicity, sampling, etc. Again as preparation for our upcoming presentation (you can attend!),

Skills 213

The ultimate in convenient banking: make payments by thinking

Ross Dawson

The brain waves are sampled using EEG equipment and processed using phase-space distribution functions to compare digital signature data from the enrollment of authorized individuals. Some of the earlier research required a cap to be placed on the subject’s brain, which is hardly convenient, but recently brain patterns can be picked up far more non-intrusively.

How the Left and Right use blogs

David Weinberger

Sites on the left adopt more participatory technical platforms; are comprised of significantly fewer sole-authored sites; include user blogs; maintain more fluid boundaries between secondary and primary content; include longer narrative and discussion posts; and (among the top half of the blogs in the papers’ sample) more often use blogs as platforms for mobilization as well as discursive production.

The Datafication of Business and Society

Irving Wladawsky-Berger

I first encountered the term datafication in The Rise of Big Data: How It’s Changing the Way We Think About the World , by Kenneth Cukier and Viktor Mayer-Schönberger.

Data 254

Creating More Intelligent Organizations

Irving Wladawsky-Berger

In the second study, they formed 152 groups ranging from two to five members to try to replicate the findings of the first study with groups of different sizes, using a broader sample of tasks. I recently read a fascinating online conversation on Collective Intelligence with Tom Malone.

Power laws & abductive research

Dave Snowden

We make sense of the world by explaining connections between things, the patterns that form from the dots and the linkages. With four dots there are six linkages and sixty four possible patterns, if we go up to 10 dots then there are 45 links and 35,184,370,000,000 patterns.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems like computer vision, natural language processing and machine translation. As new data is ingested, the system rewires itself based on whatever new patterns it now finds. Deep learning looks for patterns of patterns, with each successive layer looking for patterns in the previous layer.

Only 14% think that company training is an essential way for them to learn in the workplace

Jane Hart

Firstly, this same pattern of results was visible across all functions. That was one of the findings of my recent anonymous survey on how people learn best in the workplace, and even I was surprised by the results.

Human-AI Decision Systems

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems, including natural language processing, language translation and computer vision.

System 153

[liveblog] Vinny Senguttuvan on Predicting Customers

David Weinberger

So you can increase the sample size. When they don’t have enough samples, they can bring down the confidence level required to make the change. This pattern is widespread. Vinny Senguttuvan is Senior Data Scientist at METIS. Before that, he was at Facebook-based gaming company, High 5 Games , which had 10M users. His talk at PAPIs: “Predicting Customers.” ” NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information.

Sample 109

Human Sensor Networks… the ultimate executive coach

Dave Snowden

The use of SenseMaker® is delivering valuable patterns of meta-data to make the lessons learning and culture programs effective. The patterns in these responses then guide the executive team in an evaluation of how to manage this threat and opportunity and a strategy is arrived at all within a month’s period of time. I was talking with Laurie Webster about a new online course she is in the final stages of preparing for launch that covers SenseMaker® basics.

How to support informal learning

Jay Cross's Informal Learning

Formal learning is patterned after schools. You can learn a lot about cause and effect by interviewing a sample of workers in depth. Given an adequate sample size, you can reliably generalize about the whole group. Interview. by Robert Morris, Dallas Business Commentary Examiner.

This map shows what white Europeans associate with race – and it makes for uncomfortable reading

Mind Hacks

Overall, we have scores for 288,076 white Europeans, collected between 2002 and 2015, with sample sizes for each country shown on the left-hand side. We can be certain that the sample reflects a subset of the European population which are more internet-savvy than is typical.

Internet, freedom, and the tools of circumvention

David Weinberger

However, despite the perceived importance of this field, relatively little is known about the demand for and usage patterns of these tools. In December 2010, we surveyed a sample of international bloggers to better understand how, where, why, and by whom these tools are being used. Three new reports have come out of the Berkman Center: The Evolving Landscape of Internet Control. by Hal Roberts, Ethan Zuckerman, Rob Faris, Jillian York, and John Palfrey.

Tools 140

Design principles in DSS software

Dave Snowden

Now Jeff and I provide different perspectives on the whole issue of how you find patterns, my emphasis on human metadata compliments his ability to mash the numbers. An exciting week in Singapore with a series of events including IRAHSS 2013 all held in the Raffles City Convention Centre.

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. Machine learning gets around Polanyi’s Paradox by giving computers the ability to learn by analyzing and finding patterns in large amounts of data, instead of being explicitly programmed. After decades of promise and hype, artificial intelligence has finally reached a tipping point of market acceptance.

SXSW: What Social Media Analytics and Data Can’t Tell You

Beth Kanter

Alexandra gave an overview of the methodology offered by her company, Vision Critical , and some insights they have learned from combining a survey data from large sample with appending actual social media usage. Our sample was combined US and Canada populations).

The future of higher education and other imponderables

George Siemens

The patterns of change in higher education are surprisingly similar and global. Not all countries are adopting the aggressive UK model, but tuition patterns internationally (.pdf)

Cynefin strategy & building resilience

Dave Snowden

SAMPLE COMMENTS FROM PAST PARTICIPANTS. The advanced programme with David Snowden is all about developing insights that challenge the deeply rooted thinking patterns that have been ingrained by years of conventional thinking from both education and business and management literature. For the last year I have been experimenting with what we (foolishly) called an advanced course. I've taught it now for the best part of a year, both on my own and variously with Michael and Tony.

Reflections on Experience

Clark Quinn

That is, the system tracked and intervened on whether you were varying one variable at a time, ensuring your data sampling was across a broad enough range of data points, etc. As the work on protein folding has found, some patterns are better for computer solution, and others for human. The API previous known as Tin Can provides a consistent way to report individual activity. With the simple syntax of <who> <did> <this> (e.g. <Clark

Sample 157

Human-AI Decision Systems

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems, including natural language processing, language translation and computer vision. As new data is ingested, the system rewires itself based on whatever new patterns it now finds. I recently read The Human Strategy , a very interesting article on Human-AI decision systems by MIT Media Lab professor Sandy Pentland.

System 100

Notes On "Global Guidelines: Ethics in Learning Analytics"

Stephen Downes: Half an Hour

predictive models (which suggest potential completion rates, for example) social network analyses (which examine possible relationships between networks of individuals and groups) relationship mining (which analyses links between sets of data patterns such as student success rates), dashboards(data visualisation which provides a mean of delivering feedback to educators and learners).

Why the truth will out but doesn’t sink in

Mind Hacks

These have just been corrected to say he was unarmed and standing alone, but the retractions follow a useful pattern – media friendly version first, accurate version later – because the updates make little impact on our beliefs.