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Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

T hey eventually discovered that all event-data representing human activity contain a special set of social activity patterns regardless of what the data is about. AI is rapidly becoming one of the most important technologies of our era.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Earlier this year, Scientific American , in collaboration with the World Economic Forum , published a special report on The Top Ten Emerging Technologies of 2017. Off-Grid Devices Draw Drinking Water from Dry Air - “Sunlight-powered moisture-absorbing technologies are becoming economical”.

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

Any sufficiently advanced technology is indistinguishable from magic,” is one of the most memorable quotes of science fiction writer Arthur C. But, as we better understand its promise and limitations, technology becomes just another tool we rely on in our work and daily life.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Earlier this year, Scientific American , in collaboration with the World Economic Forum , published a special report on The Top Ten Emerging Technologies of 2017. These technologies, - selected by a global panel of experts , - “are expected to become increasingly commonplace in the next few years,” and are “attracting increased funding or showing other signs of being ready to move to the next level.”. The full report includes a one-page description of each of these technologies.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Last week I discussed a recent Pew Research report on the impact of AI, robotics and other advanced technologies on the future of jobs. These activities are neither candidates for technology substitutions, nor can they be easily complemented with technology-based tools. .

[from gminks] Social Learning Measurement : eLearning Technology

Tony Karrer

eLearning Technology Tony Karrers eLearning Blog on e-Learning Trends eLearning 2.0 In this, Eric suggests the following minimum measures: Networking patterns - the relationship between people and content categories, the network make up or profile (business unit, job, level, etc), key brokers and influencers by content category, and the degree of networking across silos. eLearning Solutions Enterprise 2.0

Notes from Information Technology Based Higher Education and Training ITHET 2013, Antalya

Stephen Downes: Half an Hour

A New Strategy for Higher Education and Training Shirley Alexander Some intro stuff about the buildings being built for the University of Technology, Sydney (UTS). Do Engineering: Delivering First Class Online Engineering Education with Graphical System Design Michael Haddad - National Instruments Arabia Online learning: - access to education to hundreds of thousands of people - platform for dissemination of a wide variety of topics - ideally suited for arts, humanities, finance.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

AI will likely become the most important technologies of our era as it’s improved upon over time, but we’re still in the early stages of deployment. Companies should look at AI through the lens of business opportunities, rather than technologies.

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Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. AI is now seemingly everywhere.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

AI will likely become the most important technologies of our era as it’s improved upon over time, but we’re still in the early stages of deployment. Companies should look at AI through the lens of business opportunities, rather than technologies.

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

AI is rapidly becoming one of the most important technologies of our era. Machine and deep learning are the latest examples of tools like the World Wide Web, search and analytics that are helping us cope with and take advantage of the huge amounts of information all around us.

Why Do We Need Data Science when We’ve Had Statistics for Centuries?

Irving Wladawsky-Berger

One of the best papers on the subject is Data Science and Prediction by Vasant Dhar , - professor in NYU’s Stern School of Business and Director of NYU’s Center for Business Analytics , - which was published in the Communications of the ACM in December, 2013.

Reflections on Storytelling

Irving Wladawsky-Berger

Over the centuries, the nature of storytelling has significantly evolved with the advent of writing and the emergence of new technologies that enabled stories to be embodied in a variety of media, including books, films, TV and the Web. Designers stand between revolutions and everyday life.

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Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

Equally succinctly, they view data science “as the connective tissue between data-processing technologies (including those for big data ) and data-driven decision making.”. And what are the prospects for its future, as technology, big data and data science continue to advance?

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A Framework for Building AI Capabilities

Irving Wladawsky-Berger

AI will likely become the most important technology of our era as it’s improved upon over time, but we’re still in the early stages of deployment. And, history shows that even after technologies start crossing over into mainstream markets, it takes considerable time, - often decades, - for the new technologies and business models to be widely embraced by companies and industries across the economy.

Big Data Takes Center Stage

Irving Wladawsky-Berger

A few recent articles have expressed concerns that big data may be at the peak of inflated expectations in the so-called hype cycle for emerging technologies, and will soon start falling into the trough of disillusionment. This is not uncommon in the early stages of a disruptive technology.

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A Kind of Digital “Perfect Storm”

Irving Wladawsky-Berger

Every day brings new stories about the impact of digital technologies on every aspect of the world around us, including their transformative impact on companies in just about every industry. Chief technology officers loved its emphasis on security.

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New Tools Beget Revolutions: Big Data and the 21st Century Information-based Society

Irving Wladawsky-Berger

While a number of transformative technologies were discussed, big data was the most prominent. . Continuing with his talk, Brynjolfsson added that beyond being a technology and scientific revolution, big data should be viewed as a management revolution.

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Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data. AI encompasses a broad rage of technologies and application. A common theme throughout the report is that the same players who were leaders in the earlier waves of digitization and analytics are now leading in the AI wave.

Social Business in the Age of the Customer

Irving Wladawsky-Berger

Starting about a decade ago with the rise of Web 2.0 , we have seen the explosive growth of social media technologies, - e.g., blogs, wikis and podcasts, - as well as platforms like Twitter, Facebook and YouTube with hundreds of millions of users. This is a problem, particularly for younger employees who are extensively using social media technologies in their personal lives, but cannot properly do so at work.

The Science of Information-based Predictions

Irving Wladawsky-Berger

Many pollsters seem to still be using methodologies that worked well a decade or two ago, but look woefully behind the times in the emerging world of big data and advanced analytics. This is an emphatically pro-science and pro-technology book, and I think of it as a very optimistic one.

Social Media Planning and Evaluation for NGOs | Full Circle Associates

Nancy White

This topic is designed to give you some tools and ideas for including social media appropriately in your overall organizational strategic plan and to measure its effectiveness. Track how many times a blog post has been viewed (using your blog software or a tool like Google Analytics ).

Researching open online courses

George Siemens

Over the last decade, I’ve extolled the value of social/technological networks as a means of extending learning opportunities. What are the habits and patterns of learner self-organization in open online courses? What principles or models of instructional design are most effective in developing MOOCs? In fall, we (TEKRI, NRC, UPEI and possibly a few other organizations) are hosting an open online course.

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Strata Conference Wrap Up: Big Data, Big Opportunities

George Siemens

I’ve had a bit of trouble carving out time to write concluding thoughts about the event (time deficiency is mainly due to last minutes activities related to our Learning and Knowledge Analytics Conference ). Blackboard Analytics : “Transforming data into actionable information.

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The future of higher education and other imponderables

George Siemens

Since my experience at Red River College, I’ve spent quite a bit of time traveling and speaking about changes in knowledge, learning, teaching, technology, and by extension, the system of education. The patterns of change in higher education are surprisingly similar and global.

Leadership and Rational Thinking

Irving Wladawsky-Berger

Ferrucci compared the computational patterns in Watson with leadership in a complex, uncertain world. The Bringing Science to Leadership panel was moderated by Joi Ito , a well known technology entrepreneur who was recently appoint Director of MIT’s Media Lab. Leverage analytical thinking and tools, embrace collaboration to address highly complex problems, and have a strategic vision to serve as a compass into the future.

The 2010 IBM Global CEO Study

Irving Wladawsky-Berger

Given the realities of globalization, disruptive innovation, and profound changes across technology, markets and society, it should not be surprising that CEOs and their companies must now navigate a highly volatile and unpredictable business environment. Given the Internet, mobile devices, vast amounts of information and sophisticated analytical tools, companies now have the ability to provide extraordinary service to their customers at relatively affordable costs, - if they so desire.

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The Great Reset

John Hagel

The history of Great Resets He has just written a compelling new book, The Great Reset , that takes a longer term historical view of changing patterns in the settlement of people and places.   As it takes shape around new infrastructure and systems of transportation, it gives rise to new housing patterns, realigning where and how we live and work.  Here’s a paradox.    Silicon Valley’s success hinges on an explosive mix of people and place. 

Working Smarter: Most popular posts of 2011

Jay Cross

Working smarter draws upon ideas from design thinking, network optimization, brain science, user experience design, learning theory, organizational development, social business, technology, collaboration, web 2.0 Technology (3097). Best of Working Smarter Daily.

[liveblog] International Conf. of Univ. Libs: Morning talks

David Weinberger

Her topic: “Reinventing the Library: Technology as a Catalyst.” Our users often are ahead of us in technology. ” Our users often are ahead of us in technology. Look at user needs to design services. “Let’s make sure we’re part of this technology.” We generate lots of data, which allows us to be strategic, looking for patterns of use. We can do predictive analytics. [ These technologies empower people.

Edge Perspectives with John Hagel: The Power of Power Laws

John Hagel

In many respects, the history of Western business in the twentieth century represents an effort to build scalable operations through standardization designed to serve “average consumers”. The problem is that most of our analytical tools are designed to understand Gaussian worlds.

Seminar on MOOCs, Lyon, France, Day 2

Stephen Downes: Half an Hour

model - design run the MOOC, evaluate for knwoledge - eg. analytics - richness of social networks but: processing is more marketing than cognitive so far (A/B testing) - and the tension between the individual and the collective plus: the ideology of reducing everything to numbers - education as technology - does big data explain or does it merely predict? - the absence of technology problems) - eg.

Beyond Institutions Personal Learning in a Networked World

Stephen Downes: Half an Hour

Thinking in Models: for Design, for Learning… A large part of this talk is about that change. We''re told there will be analytics and data-driven management. Models of how to do learning, learning design patterns: Grainne Conole has done a lot on this.

The 2016 Look at the Future of Online Learning

Stephen Downes: Half an Hour

The first was the obvious basis in technology. Listen to this, from the 'Context' section: "it it is not technology that drives adoption; it is the institutional strategy, the changing nature of the student population and the decisions of individual instructors and faculty members." This is wrong on just about every count: - the technology is the driver (thinking otherwise forces us to disregard the impact of the Winchester rifle, the telephone, flight, and nuclear weapons).

195 posts about MOOCs

Jay Cross

Designing and running a MOOC (in 9 easy steps) GEORGE SIEMENS | TUESDAY, SEPTEMBER 4, 2012. X-based learning: sorting out pedagogies and design CLARK QUINN | THURSDAY, APRIL 12, 2012. Stanford Learning Analytics Summer Institute GEORGE SIEMENS | THURSDAY, DECEMBER 6, 2012.

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My Viva

Stephen Downes: Half an Hour

Like this: Again, these activations do not stand for anything; they are simply characteristic patterns of spreading activation that occur in the presence of a stimulus. I came into the field of learning technology via distance education at Athabasca University.

The Diminishment of Don Draper

Andy McAfee

It won’t surprise most readers to see that these alternatives and complements have a strong information technology component. Watching him, I was reminded of Cayce Pollard, the heroine of William Gibson ‘s novel Pattern Recognition. When I reflect on how I’ve seen strategy, marketing, planning, and product design decisions made at large organizations, I see a lot of the stuff listed above.

Interesting Information via eLearning Learning

Tony Karrer

Again, I'll be curious to see if people find patterns in this information. Lars Hyland - Lars is Learning Good to see Learning Technologies , Mobile Learning come up for Lars. Ken Allan - Blogger in Middle-earth Ken talks about everything including some that come up for me Writing a Blog , Analytics , Communities of Practice , Photoshop , Pipes , Firefox , RSS. We've implemented a few features in the eLearning Learning Community.

Innogive Conference Panel Resources: Mobile is the Needle, Social is the Thread

Beth Kanter

focusing on how information consumption patterns are changing in light of these two technological developments. She is also the Membership Director at NTEN: The Nonprofit Technology Network. Some techniques and resources that the panelists shared: What is responsive web design?

Notes from: MOOCs for Development

Stephen Downes: Half an Hour

It targeted a local problem, in a local language, multi-sakeholder, blended learning - it is not technology that should determine learning, it should be the learning that determines the tech - eg. MOOCs in Bengali, in Hindi, etc - you don''t want to put a current evaluation against the potential of the technology - what made IGNOU possible? French-language networks How does existing technology help MOOCs be localized and learner-centred?

E-Learning Generations

Stephen Downes: Half an Hour

Another key idea was the design of the gaming space itself.Early computer games (and many early arcade games) were designed likeprogrammed learning: they were like a flow chart, guiding you through a seriesof choices to a predetermined conclusion. The third element was the technology developed to enablethat which we today call object oriented programming. You can begin to see a pattern developing here. The core technology of web 2.0

What I've Learned From Philosophy

Stephen Downes: Half an Hour

There are many ways to define things: we can point to them, we can say what they contain, we can say what properties they have, we can talk about what they do, what they were designed to do, what they actually do, what they might do, we can say what they're for, we can talk about where they're from or who (or what) created them, and on and on. The collapse of the analytic-synthetic distinction means that no statement is wither purely syntactical or purely semantical.

Digital Habitats Community Orientation Spidergram Activity | Full Circle Associates

Nancy White

Home About Full Circle Contact Resources Wiki Full Circus Full Circle Associates connections for a changing world, online and offline… Mar 31 2009 Digital Habitats Community Orientation Spidergram Activity Published by Nancy White at 1:47 pm under Digital Habitats , communities of practice , technology stewardship , visual thinking A couple of people have asked me for more materials related to the Community Orientations Spidergram activity.