Remove Design Remove Patterns Remove Research Remove Technology

hyper-connected pattern seeking

Harold Jarche

From a recent post by the BBC : Crucial in surviving all of these unpredictable variables is the use of network design tools – software suites that can simulate what happens at the point of disaster. Technology is only a small part of creating more nimble companies.

Where is Technology Taking the Economy

Irving Wladawsky-Berger

I recently read Where is Technology Taking the Economy? , Brian Arthur , - External Professor at the Santa Fe Institute , Visiting Researcher at PARC , and former faculty member at Stanford University. But, as we well know, there are serious downsides to technology-based automation.

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”.

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. One area that I haven’t devoted much attention to is that of distributed online research networks. Most people in higher education participate in research networks – even if the network is merely a means of connecting researchers in different locations, with each running their own labs and research programs.

Course 164

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.

Where is Technology Taking the Economy

Irving Wladawsky-Berger

I recently read Where is Technology Taking the Economy? , Brian Arthur , - External Professor at the Santa Fe Institute , Visiting Researcher at PARC , and former faculty member at Stanford University. The first era, in the 1970s and 1980s, brought us Moore’s law and the dramatic advances in semiconductor technologies. But, as we well know, there are serious downsides to technology-based automation. an article in McKinsey Quarterly by W.

University research and industry projects

Harold Jarche

Vivendra Bhavsar presented on semantic matching and Weichang Du talked about his cloud computing research, especially the development of new design patterns for business. A presentation on the MITACS program that funds mathematical sciences research projects was followed by a description of the new NSERC Engage program, a $25K grant that fosters the development of new relationship between companies and the academic researchers. Tags: Technology

The evolution of design to amplify flow

John Hagel

If we want to understand the importance of flows in our world, the new book Design in Nature released this week by Adrian Bejan and J.   It crosses a wide array of disciplines, ranging from physics and biology to technology and urban studies, in its quest to define a universal law of flow.    By pulling back from individual disciplines, it identifies patterns that were either missed or misunderstood in more narrow contexts. The direction of design evolution.

Design 173

How Autism can Influence Design: In conversation with Steve Silberman

Adaptive Path

The book, a sweeping history of autism in both science and society, contains some powerful implications about designing for human cognition and what “normal” really means. But the important point is that making technology accessible results in better technology for everyone.

Design 208

What Makes a Design Technologist?

Adaptive Path

More and more I am hearing UX practitioners talk about making the thing that we design. This often turns to discussions around prototyping and bridging the gap between design and implementation. As a Design Technologist, this is right in my sweet spot. For years my career was focused on the engineering side of projects and I cannot help but have that programmer part of my brain light up when working on design or strategy. Tags: Events Technology Prototyping

Design 139

Edge Perspectives with John Hagel: Patterns of Business Innovation in China and India

John Hagel

From a strategist’s viewpoint, though, what I miss in such coverage is any deep analysis of the patterns of business innovation that might help to explain the explosive growth in both economies or the implications for Western companies.

How Autism can Influence Design: In conversation with Steve Silberman

Adaptive Path

The book, a sweeping history of autism in both science and society, contains some powerful implications about designing for human cognition and what “normal” really means. De-pathologizing is not just a question of being nice, either, because a consistent problem with autism research over the years is that neuroscientists will look at brains of people with autism and if they find any variations from what they’ve described as the norm, then those become deficits.

Design 100

The Future IMS Learning Design

Stephen Downes: Half an Hour

The Future IMS Learning Design What is the future of learning design? Joel Greenberg My own personal view: maybe the world is moving on, and maybe the idea of 'design' is a bit old fashioned. It's interesting, because they all use techn ology, but there has been a lack of interest in using technology in their teaching. Instead of trying to systematize, to sequence, a more appropriate approach is based around patterns and connections.

Design 122

Education, Technology and Myth

Stephen Downes: Half an Hour

Responding to Norm Friesen, E-Learning Myth #2: Technology Drives Educational Change In this post, various propositions have been collected under a single heading. From the text: It is often said or implied that technology or technological change impact education. The assumptions behind such understandings are that technology drives educational change, and that there is generally a direct and one-way relationship between technical innovation and educational transition.

Edge Perspectives with John Hagel: Retailers and Customers

John Hagel

Almost a decade ago, I detected an intriguing pattern regarding the unbundling and rebundling of firms (purchase unfortunately required). Of course, the pace and trajectory of unbundling (and related rebundling) differs across industries and geographies – the patterns are complex and fractal.

Hidden Wealth: Science, Technology and Services Innovation in the 21st Century

Irving Wladawsky-Berger

This excellent report represents the findings of a major study on the role of science, technology, engineering and mathematics (STEM) to innovation in the services sector. c and technological developments (many of which originated in fundamental ‘blue skies’ research), have precipitated major transformations in services industries and public services, most notably through the advent of the internet and world-wide-web.

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 Slow Community Movement? | Full Circle Associates

Nancy White

The article talks about the work of communities in Oaxaca who are eschewing schools and centrally designed learning experiences to take learning back into the hands of the community – on it’s own time, terms and tempo.

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

The book was the result of over a decade’s worth of research in the Human Dynamics group at MIT’s Media Lab. 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.

Edge Perspectives with John Hagel: Magic and Fun with Emerging Technologies

John Hagel

» Magic and Fun with Emerging Technologies Magic and fun – those are two words most people do not associate with today’s corporations. I had the good fortune to attend Tim O’Reilly’s Emerging Technologies Conference in San Diego last week.

Has AI (Finally) Reached a Tipping Point?

Irving Wladawsky-Berger

The WEF report noted that “over the past several years, several pieces of emerging technology have linked together in ways that make it easier to build far more powerful, human-like digital assistants.”. Rather, AI technologies continue to get better in a continual, incremental way.”.

Tips 268

Machine Learning and Knowledge Discovery

Irving Wladawsky-Berger

In addition, the article nicely explains the technologies developed by the Google Brain research project to achieve its breakthrough improvements. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

Data 179

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.

Data 207

Human Learning is Not About to Change Forever

Clark Quinn

I’m all for AR and VR, but saying that it puts learning in the hands of the students is a design issue, not a technology issue. The possibilities in virtual worlds to collaboratively create in 3D I still think is potentially cool, but even as the technology limitations come down, the cognitive limitations remain. I’m big on social learning, but mediating it through technology strikes me as just a natural step, not transformation.

Change 126

Emergent & Semantic Learning

Clark Quinn

When we built the Intellectricity ™ system, we had a batch of rules that guided how we were sequencing the content, based upon research on learning (rather than hardwiring paths, which is what we mostly do now). design meta-learning strategy technology

AI and The Future of Work

Irving Wladawsky-Berger

New technologies have been replacing workers and transforming economies over the past two centuries. But, over time, these same technologies led to the creation of whole new industries and new jobs.

Data 195

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. AI as a field of academic research was born in 1956. the discipline focused on finding patterns in data and on making well-founded predictions, tests of hypotheses and decisions.”.

Data 138

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.

Data 215

Minds and Machines

Irving Wladawsky-Berger

Brynjolfsson and McAfee are professor and research scientist respectively at MIT’s Sloan School of Management , as well as co-Directors of MIT’s Initiative on the Digital Economy. Machines have a deep but narrow view of the world they were designed for.

Data 215

Improving the Odds of Success for Corporate Transformations

Irving Wladawsky-Berger

Patterns of Transformation. Considering the increasing pace of technological change and volatility in many industries, the patterns suggest that the need for transformation is rising, while the chance of successfully achieving it is falling,” was the study’s overriding conclusion.

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

Irving Wladawsky-Berger

I decided to switch fields and in 1970 joined the computer science department at IBM’s Watson Research Center. He asked me what I planned to do research on for my degree, and I told him that I was already working with Professor Roothaan on atomic and molecular calculations.

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.

Data 161

Creating More Intelligent Organizations

Irving Wladawsky-Berger

The CCI was founded to study how new communications technologies are changing the way people work together. The CCI is conducting research on a number of topics related to collective intelligence. Their research results were published in the October 2010 issue of Science.

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?

Data 247

Corporate Survival: Lessons from Biology

Irving Wladawsky-Berger

Drawing on their research at the intersection of business, biology, and complex systems, the authors identify six key principles to help increase the robustness of complex business systems.

System 207

Reinventing Society in the Wake of Big Data

Irving Wladawsky-Berger

For example, Gartner’s Research director Svetlana Sicular recently observed that big data has already reached the peak of the hype cycle , and is now falling into the trough of disillusionment , a necessary step before (hopefully) moving on to the slope of enlightenment.

Data 277

Improving the Odds of Success for Corporate Transformations

Irving Wladawsky-Berger

Corporate mortality is further exacerbated by three broad trends: a more diverse, harsher and less predictable business environment; the faster pace of technological innovation which forces companies to adapt to new business cycles at about twice the rate as 30 years ago; and the increasing integration of business ecosystems and global markets, which while good for economic vitality, adds to the risks of system-wide shocks. Patterns of Transformation.

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.

Data 241

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.

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.

Data 194

AI and The Future of Work

Irving Wladawsky-Berger

New technologies have been replacing workers and transforming economies over the past two centuries. But, over time, these same technologies led to the creation of whole new industries and new jobs. While the technologies of the industrial economy helped to make up for our physical limitations, the technologies of the digital economy are now enhancing our cognitive capabilities.

Data 100

Edge Perspectives with John Hagel: Unanswered Questions at Supernova 2007

John Hagel

About six weeks ago, I joined Deloitte & Touche USA LLP with a mandate to establish a major new research center in Silicon Valley. The Center will explore key business issues created by the intersection of business strategy and information technology.