Remove 2019 Remove Patterns Remove Productivity Remove Technology

The Puzzling Personal Productivity Paradox

Irving Wladawsky-Berger

The past 10-15 years have seen a number of technology advances, from smartphones to machine learning. 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. Overall, three key patterns stood out.

Beyond Machine Learning: Capturing Cause-and-Effect Relationships

Irving Wladawsky-Berger

Artificial intelligence is rapidly becoming one of the most important technologies of our era. AI technologies are approaching or surpassing human levels of performance in vision, speech recognition, language translation, and other human domains. Deep learning is a powerful statistical technique for classifying patterns using large training data sets and multi-layer AI neural networks. Why are there such universal human activity patterns?

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The Current State of AI Adoption

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have finally come together to propel AI beyond early adopters to a broader marketplace: powerful, inexpensive computer technologies; advanced algorithms; and huge amounts of data on almost any subject. Newspapers and magazines are full of articles about the latest advances in machine learning and related AI technologies. In high-tech, 59% use AI in product development, 48% in service operations and 34% in marketing and sales.

metamodernity

Harold Jarche

The challenge in developing what Lene Rachel Andersen calls ‘ metamodernity ‘ is in taking the positive aspects of previous human cultures in order to create a global culture that can deal with the complexity of technology, climate emergency, and evolving political situations. Philosophic — the discovery of principles which underlie patterns and limits found in data; ordering knowledge into coherent general schemes. Modern — fanaticism and weaponized technology.

Educational Research in Learning Technology

Stephen Downes: Half an Hour

Kerr in this recent post , about how research in educational technology could be improved, but I have disagreements around the edges, enough that I think more discussion is warranted. Also, while Kerr is more focused on artificial intelligence in education (AIEd) research, I will address my remarks to learning technology more generally. Here are just a few: - access - it is demonstrably true that educational technology has increased access. 2019) which caught my eye.

Infomediaries - A Significant Untapped Opportunity

Edge Perspectives

Second, digital technology was making it far easier to capture and share information about ourselves. Third, we as customers were facing more and more choices in terms of products and services that were rapidly evolving. The good news is that digital technology is making the cost of providing infomediary services less and less expensive, so the infomediary can provide a rich set of services at a very low price.

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

Beth Kanter

Now, we entering a new digital era which includes emerging technologies like AI. ” He is reminding of us of shiny object syndrome and to be skeptical of technology in search of solutions. The author, Eirini Maliaraki, an interaction designer, argues for more precise definition of the emerging field “AI for Good,” with a focus on outcomes, not the technology.

Your Art, My Art

Stephen Downes: Half an Hour

Image from The New Yorker cartoon by Peter Steiner, 1993, Fair use , Link The New York Times managed to get through 25 works of art for the last 50 years without one mention of the internet or digital technology. What they have in common is that the woman in both cases - or, at least, the image of the woman - is the 'product' being sold. December 31, 1983, production company?: ?Fairbanks

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The Social Network Is the Computer

Irving Wladawsky-Berger

The Technology Trifecta. Three technologies make the Hype Machine possible by transforming how information is produced and consumed: digital social networks, machine intelligence, and smartphones.

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. Most everyone will agree that the Internet, smartphones, and related digital technologies have had a far bigger impact in people’s daily lives than the moon landing.

What History Tells Us About the Accelerating AI Revolution

Irving Wladawsky-Berger

A few weeks before our lives were turned upside down by Covid-19, I read Technology at Work v4.0 , the fourth report in the Technology at Work Series developed by Citigroup in collaboration with Oxford University. 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. Computers followed a similar pattern.

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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Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

Keywords: Learning analytics, ethical codes, learning technology, education, research ethics Introduction What distinguishes ethical codes from other forms of ethics generally is that while they may assign duties and responsibilities, these are assumed voluntarily by virtue of being a member of the profession. Modern analytics is based mostly in machine learning and neural networks, and these in turn provide algorithms for pattern recognition, regression, and clustering. 2019).

Workplace Learning Professionals Next Job - Management Consultant

Tony Karrer

Sensing patterns and helping to develop emergent work and learning practices. In 2019: A workplace learning odyssey Performance support will be built into the workflow and take the form of online tools, networks and coaching. Drucker told us that productivity of the knowledge worker would be the primary challenge of the 21st century.