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Cynefin St David’s Day 2019 (3 of 5)

Dave Snowden

The introduction of the liminal version of Cynefin was probably the most significant change in recent years. It’s why ritual is so important in human society, it allows for change to be triggered in a sustainable and scalable way. Crews in the emergency services have strong ritual acts to change identity in order that the interacting team can be effective and so on. His first version showed chaotic as a lower level than complex but be changed that after I pinged him.

How to Survive and Thrive in a World of Disruption

Irving Wladawsky-Berger

The forces of disruption might have been more powerful in the fast-changing IT industry, but no industry has been immune. Retail has undergone major changes with the rise of e-commerce, as has telecommunications with the transition to mobile phones. Why have so many companies been done in by disruptive technological and market changes? 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. Data derived from human behavior is dynamic and ever-changing.

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. While technologies may advance rapidly, humans and institutions change slowly. But, companies and industries are not the only ones trying to adjust to our fast changing digital economy. The results were published in a March, 2019 HBR article, What Makes Some People More Productive Than Others.

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? The most important forces responsible for the change are technological progress and capitalism. The critical change was not to capitalism , which has continued to spread around the world despite a number of recent bumps in the road. Similar patterns are seen in other rich countries.”. Why did things change?

Shaping (As Opposed to Stumbling Into It!) – The Future of Online Learning and Training

Stephen Downes: Half an Hour

Shaping (As Opposed to Stumbling Into It!) – The Future of Online Learning and Training Stephen Murgatroyd, PhD, Chief Innovation Officer Contact North | Contact Nord These are summary notes of the talk, taken by me, “I’m here because I’m old….

learning in complexity and chaos

Harold Jarche

Whenever people are involved, within a global context of climate change, the situation is likely complex. Today one must cease to be a passive spectator but an actor in this fast-changing world.”. But extreme complexity is pretty close to chaos and it seems that more of the situations we are dealing with — violent political action, climate change — are rather chaotic. Innovation. Innovation comes from people, not technology.

The Social Network Is the Computer

Irving Wladawsky-Berger

This ecosystem has been designed to stimulate and manipulate the human psyche, “to draw us in and persuade us to change how we shop, vote, and exercise, and even who we love.” and how does it change our behavior?

Trends That Will Likely Shape a Highly Uncertain Year

Irving Wladawsky-Berger

Exactly where will have enormous implications: for transport patterns, property prices and the layout of cities, among other things.”. Economic Issues Future of Work Innovation Management and Leadership Political Issues Society and Culture Technology and Strategy

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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. Everyone knows that we live in a time of constant acceleration, of vertiginous change, of transformation or looming disaster everywhere you look. Has innovation been slowing down?

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. Invest in AI talent, data governance, and process change.

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Philgorithms: Two Examples of Data Mapping to Guide Donor Decisions

Beth Kanter

As COVID accelerates innovative uses of AI in many areas, we are also seeing more development of AI-powered data mapping tools for philanthropic advising and to support donor investment decisions. The technology helps donors make investments that yield the highest impact or strategic system change. Davies coined the term “ philgorithm ” to describe the use of algorithms to detect basic patterns or gaps in a donor’s strategy. AI4Giving Innovation Philanthropy

Cynefin St David’s Day (5 of 5)

Dave Snowden

That means you can conduct a series of safe-to-fail experiments that change the dispositional space so that solutions become clearer. There is an obscure chance that this might be correct, a less obscure change that it might prove to work accidentally but it is a high-risk strategy. You’ve never had a better chance to change things. The banner picture is a view over the Carneddau taken on the descent of Moel Siabod on January 15th 2019.

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. Moreover, argues Gilman, a code of ethics will change the behaviour of bad actors, even if it does not incline them toward good. 2019) Similar functionality is also provided by IMS Global’s Caliper learning analytics (Oakleaf, et.al., Neelakantan, 2019). 2019).