Remove 2019 Remove Innovation 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 (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.

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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 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.

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.

#AI4Good: What Your Nonprofit Needs To Know About AI

Beth Kanter

AI for Good: Nonprofit Trends and Use Cases is an e-book published by Salesforce.Org that provides a good primer about AI, a few basic examples of how nonprofits are using Salesforce.Org product, Einstein, and useful tips on ethical AI. 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.

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.

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.

Survey 163

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.,