Remove 2019 Remove Change Remove Patterns Remove Productivity

The Puzzling Personal Productivity Paradox

Irving Wladawsky-Berger

Yet, despite these impressive advances, for most of this period economies around the world have been stuck in an era of slow productivity growth. Opinions abound, but in the end, there’s no consensus on the causes of this apparent productivity paradox , on how long the slowdown will likely last, or on what to do about it. 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.

Cynefin St David’s Day 2019 (5 of 5)

Dave Snowden

In my final post in this update series on Cynefin and I’m reserving the right to change things when I think about it more. I’ve been playing with options here on trains to and from particularly dark productions of tragic operas and the experience may have influenced by thinking. When I was working on the HBR Cynefin article Mary and I decided to rehabilitate it and for the domains of obvious, complicated and complex I have made no changes.

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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.

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 Current State of AI Adoption

Irving Wladawsky-Berger

AI advances have the potential to increase global GDP by up to 14% between now and 2030, the equivalent of an additional $14-15 trillion contribution to the world’s economy, and an annual average contribution to productivity growth of about 1.2 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.

Narrative: exploring the world

Dave Snowden

the classic documentary Man of Aran contrasting with its role as Craggy Island in Father Ted from Hat Trick Productions who more recently produced the absolutely wonderful Derry Girls. A goal is to examine ways in which change can be stimulated; entrained patterns of needless difference reduced in their ability to dehumanise human interaction. The first time I saw the Aran Islands was back in the 70s from the Cliffs of Mohr.

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.

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.

Are We Becoming a Decadent, Stagnating Society?

Irving Wladawsky-Berger

Everyone knows that we live in a time of constant acceleration, of vertiginous change, of transformation or looming disaster everywhere you look. How about the slow productivity and economic growth? If we can solve global poverty, we can solve other problems like climate change.”

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.

Survey 163

Educational Research in Learning Technology

Stephen Downes: Half an Hour

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). After a period of time, a tool (like a word processor or LMS) is no longer novel to the teacher or the school, and so they settle into a 'more normal' pattern of usage for that tool.

Workplace Learning Professionals Next Job - Management Consultant

Tony Karrer

ut I think it's fair to say that most every response expects the role of training to either diminish or to change significantly in the next 10 years. Supporting Concept Workers In The Future of the Training Department by Harold Jarche and Jay Cross, they discuss how work models are changing. This is very similar to what I discuss around Concept Workers and Work Literacy but they attack the change based on complexity – which is truly why concept workers are so important.

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).