Remove Analytics Remove Patterns Remove Samples Remove Technology

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”.

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.

Social Physics and Cybercrime Detection

Irving Wladawsky-Berger

Social physics is based on the premise that all event-data representing human activity, - e,g,, phone call records, credit card purchases, taxi rides, web activity, - contain a special set of group behavior patterns.

Data 196

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

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 245

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 165

The Datafication of Business and Society

Irving Wladawsky-Berger

Its ensuing digital products have been generating all that data and its drastically lower technology costs have made it possible to store and analyze those oceans of information.

Data 254

Human-AI Decision Systems

Irving Wladawsky-Berger

Nor have they integrated the large amounts of data, analytical tools and powerful AI systems now at our disposal into their decision making systems. . Sports analytics are now used by just about every professional sports team in the world.

System 153

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.

Human-AI Decision Systems

Irving Wladawsky-Berger

Traditionally, decision systems have been confined to individual physical domains, such as logistics, physical plant, and human resources, and more recently virtual domains such as cyber, by both policy and technology, resulting in challenges with the integration of information across disparate domains.”. Nor have they integrated the large amounts of data, analytical tools and powerful AI systems now at our disposal into their decision making systems. .

System 100

Reflections on Experience

Clark Quinn

While machine learning and analytics is one opportunity, there’s another, which is having people look at the data. That is, the system tracked and intervened on whether you were varying one variable at a time, ensuring your data sampling was across a broad enough range of data points, etc. As the work on protein folding has found, some patterns are better for computer solution, and others for human. meta-learning strategy technology

Sample 157

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. Even more striking, during the economic crisis, Standouts’ revenue growth was six times higher than the rest of the sample. IBM recently released the 2010 Global CEO Study. This is IBM’s fourth biennial CEO study since 2004.

Study 166

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.

195 posts about MOOCs

Jay Cross

Stanford Learning Analytics Summer Institute GEORGE SIEMENS | THURSDAY, DECEMBER 6, 2012. Open Course: Learning Analytics and Knowledge GEORGE SIEMENS | MONDAY, JANUARY 21, 2013. patterns, social psychology, value network analysis, anthropology, complexity theory, and more.

eLgg 238

Seminar on MOOCs, Lyon, France, Day 2

Stephen Downes: Half an Hour

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. Again these talks are all in French so my note-taking may be inaccurate in places.

Beyond Institutions Personal Learning in a Networked World

Stephen Downes: Half an Hour

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. In these models, these designs are being implemented as educational technology. This is the future of this technology.

Connective Knowledge and Open Resources

Stephen Downes: Half an Hour

I was trying to get them to spot fallacies by recognizing them, by seeing signs that would remind them of common patterns of argument. The xMOOC has a core content that everyone follows, while the cMOOC has a wide ranging network of content which people browse through and sample according to their own interests. Whether the learning analytics(LA) can be think as problem-solving techniques?

Czech Course Followup Questions

Stephen Downes: Half an Hour

Over time this sort of perception will be aided with technology, just as we are aided in visual recognition by glasses and telescopes and video monitors. Filtering systems, content recommendation systems, analytics and other tools will make the task of recognition easier. Given a teaching resource - perhaps some sample code with instructions - it will take me maybe half an hour to learn the procedure.

Course 140

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.

Education as Platform: The MOOC Experience and what we can do to make it better

Stephen Downes: Half an Hour

George talked about learning analytics. Learning analytics is using machines to count numbers instead of using people as we used to. Right now we're going the Change Online MOOC, where each week we introduce participants to a leading figure in educational technology. And we use different technologies to bridge the gap between these individual websites. There are more kinds of bread than you could possibly sample.

New York City Halts Teacher Bonus Program: Another Blow to.

Bob Sutton

Stanford Technology Ventures Program (STVP). Center for Work, Technology and Organization. Davenport: Competing on Analytics: The New Science of Winning. Dorf & Byers: Technology Ventures. there are a a few studies that show a positive impact, but the weight of the evidence supports the historical pattern of no effects or negative effects.  Bringing Creativity to Organizations| Bob Sutton|Stanford Technology Ventures. Bob Sutton.

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Full Circle Associates " Musings on "community management" Part 1

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Skills 100

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Skills 100

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Skills 100

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

seeing the patterns of those posts then composing a response. A good community manager must be able to skip around, see patterns, scan the whole and then discern if and where to intervene in the system. Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. Second, I think that multi-membership, head-and-heart, and network sensibilities are more important than pattern recognition scores.

Skills 100