Cynefin St David’s Day 2019 (3 of 5)

Dave Snowden

In the main areas of the complex domain we understand what is possible (or plausible) through parallel safe-to-fail experiments but as patterns emerge and stabilise we enter the liminal domain. The post Cynefin St David’s Day 2019 (3 of 5) appeared first on Cognitive Edge. The introduction of the liminal version of Cynefin was probably the most significant change in recent years.

How to Survive and Thrive in a World of Disruption

Irving Wladawsky-Berger

Evolutionary fitness of organizations is determined by their ability to effectively respond to environmental changes,” write Leo Tilman and Charles Jacoby in their recently published book Agility : How to Navigate the Unknown and Seize Opportunity in a World of Disruption. “Extinctions generally follow a familiar pattern. How can you turn survival into the driving force of innovation?

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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. Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. Why are there such universal human activity patterns?

The Puzzling Personal Productivity Paradox

Irving Wladawsky-Berger

A few contend that there’s been a fundamental decline in innovation and productivity over the past few decades, compared to the period between 1870 and 1970. The results were published in a March, 2019 HBR article, What Makes Some People More Productive Than Others. Overall, three key patterns stood out. The past 10-15 years have seen a number of technology advances, from smartphones to machine learning.

The Current State of AI Adoption

Irving Wladawsky-Berger

AI marketplace adoption will likely follow a typical S curve pattern , - that is, a relatively slow start in the early years, followed by a steep acceleration as the technology matures and firms learn how to best leverage AI for business value. Artificial Intelligence Data Science and Big Data Economic Issues Education and Talent Future of Work Innovation Management and Leadership Services Innovation Society and Culture Technology and StrategyAI is seemingly everywhere.

How We Learned to Prosper Using Fewer Resources

Irving Wladawsky-Berger

In recent years we’ve seen a different pattern emerge: the pattern of more from less.”. What led to the emergence of a more-from-less pattern? Similar patterns are seen in other rich countries.”. Complex Systems Digital Money and Payments Economic Issues Education and Talent Future of Work Innovation Management and Leadership Political Issues Services Innovation Smart Systems Society and Culture Technology and Strategy

we are dependent on human connection

Harold Jarche

We need input from people with a diversity of viewpoints to help generate innovative new ideas. Some say that a dense, cohesive network brings more social capital, while others argue that a sparse, radial network, one that provides opportunities for innovation and entrepreneurial activity, equates to greater social capital. s’ network shows both patterns — a densely connected core along with loosely coupled radial branches reaching out from the core. What we do not know.

Artificial Intelligence for Good: A Few Good Articles To Read #AI4Good

Beth Kanter

I shared a few more examples of AI-driven fundraising here ) 3) Campaign Content: Examples of nonprofits using Quilt.AI , which takes every organization’s digital imprint and lets a nonprofit to better understand data patterns in large amount of data to predict changes in human behavior. Allison Fine, my co-author for the Networked Nonprofit , and I are actively researching the use of AI for Good, in particular to scale giving and spread generosity.

Will Artificial Intelligence Augment Nonprofit Staff or Replace?

Beth Kanter

If AI can do the boring grunt work for a nonprofit human, use that free time on building relationships,identifying innovation solutions, and scaling services. First, the AI assistant develops and applies algorithms to ingest, clean, enrich and then searches through large amounts of data in order to recognize patterns and make recommendations.

#AI4Good: What Your Nonprofit Needs To Know About AI

Beth Kanter

Demystifying Machine Learning for Global Development, an article published in the Stanford Social Innovation Review, suggests that when it comes to global development, the key is to ask the right questions, and then see if and how it can help. Now instead of only relying on subjective responses, scientists can focus on patterns within the visual cortex using AI to better understand a subject’s feelings.

learning in complexity and chaos

Harold Jarche

Innovation. Innovation comes from people, not technology. The challenge for the Fourth Industrial Revolution becomes interpretation, reflection, and innovation. Radical innovation comes from networks with large structural holes which are more diverse. Work teams can focus intensely on incremental innovation, to get better at what they already do. Innovation does not happen inside a petri dish.

range & inefficiency

Harold Jarche

An innovation system should preserve range and inefficiency, concludes the book Range—Why generalists triumph in a specialized world , by David Epstein. Focusing deep yields efficiencies and incremental innovation. But a broad base of learning and experience can produce radical innovation. Many (most?) of our research and education practices are designed for ‘kind’ environments where the rules and parameters are relatively clear. Playing chess is one example.

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The Social Network Is the Computer

Irving Wladawsky-Berger

billion in 2019; YouTube grew from 20 million users in 2006 to around 2 billion in 2019; and WhatsApp from 300 million users in 2013 to also around 2 billion.

Are We Becoming a Decadent, Stagnating Society?

Irving Wladawsky-Berger

This long essay covers a lot of ground, from technology and innovation to politics and religion. Has innovation been slowing down? Digital innovation is recombinant in nature, based on building blocks and platforms.

Reflections on the Later Stages of Our Careers

Irving Wladawsky-Berger

In particular, the essay explains why in July of 2019 at the age of 55, he concluded that it was time to resign his decades-long position as president of the prestigious American Enterprise Institute (AEI) to join the faculty of the Harvard Kennedy School.

What History Tells Us About the Accelerating AI Revolution

Irving Wladawsky-Berger

The report includes an excellent chapter on What History Tells Us About the Coming AI Revolution by Oxford professor Carl Benedikt Frey based on his 2019 book The Technology Trap. But, in fact, serious concerns about the impact of technology are part of a historical pattern. “Many of the trends we see today, such as the disappearance of middle-income jobs, stagnant wages and growing inequality were also features of the Industrial Revolution, which began in Britain around 1750.

Why Some AI Efforts Succeed While Many Fail

Irving Wladawsky-Berger

Winning with AI , - a 2019 report based on a survey jointly conducted by the MIT Sloan Management Review and the Boston Consulting Group , - found that 90% of respondents agree that AI represents a business opportunity for their company. To help answer these questions, the study looked for patterns in the survey data and in the executive interviews to uncover what the companies that are succeeding with AI are doing.

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Cynefin St David’s Day (5 of 5)

Dave Snowden

There is, of course, much in common between the Aporetic, Confused and Chaotic domains but there are three key things we always need to do: Initiate an innovation program using resources not occupied in solving what appears (and therefore probably is) a crisis. The more we can shift from complex to complicated the easier it is to scale things, the more we can prevent entrained patterns of thinking and response from preventing that diversity the better.

Educational Research in Learning Technology

Stephen Downes: Half an Hour

Decades of technological innovation in education have shown precious little in the way of educational gains and, more than anything else, have taught us that we need to be sceptical from the outset. Unfortunately, ‘the vast array of literature involving learning technology evaluation makes it challenging to acquire an accurate sense of the different aspects of learning that are evaluated, and the possible approaches that can be used to evaluate them’ (Lai & Bower, 2019).

Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

2019) Ethical Codes As Standards of Conduct While ethics commonly applies to people in general, there is a specific class of ethics that applies to people by virtue of their membership in a professional group. Modern analytics is based mostly in machine learning and neural networks, and these in turn provide algorithms for pattern recognition, regression, and clustering. 2019) Similar functionality is also provided by IMS Global’s Caliper learning analytics (Oakleaf, et.al.,