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.

Design principles in DSS software

Dave Snowden

the next generation of Risk Assessment and Horizon Scanning system for Singapore and as one of the main designers of 1.0 Now Jeff and I provide different perspectives on the whole issue of how you find patterns, my emphasis on human metadata compliments his ability to mash the numbers.

Emergent & Semantic Learning

Clark Quinn

However, as you track outcomes, e.g. success on practice, and start looking at that by doing data analytics, you can start trolling for emergent patterns (again, made up). Which helps explain the growing interest in analytics. design meta-learning strategy technology

Shaping (As Opposed to Stumbling Into It!) – The Future of Online Learning and Training

Stephen Downes: Half an Hour

Shaping (As Opposed to Stumbling Into It!) – The Future of Online Learning and Training Stephen Murgatroyd, PhD, Chief Innovation Officer Contact North | Contact Nord These are summary notes of the talk, taken by me, “I’m here because I’m old….

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

In the 1960s and 1970s, IT brought automation to a number of discrete business processes, including transaction processing, financial planning, engineering design, inventory management, payroll and personnel records.

Data 207

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.

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Precision Farming Increases Crop Yields - “Combining sensors and imaging of every plant with real-time data analytics improves farm outputs and reduces waste”. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

In the 1960s and 1970s, IT brought automation to a number of discrete business processes, including transaction processing, financial planning, engineering design, inventory management, payroll and personnel records.

Data 165

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

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. AI is rapidly becoming one of the most important technologies of our era.

Data 140

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further. What technology, people, and design do I need to address these aims?

Reflections on Storytelling

Irving Wladawsky-Berger

Recent advances in Internet and consumer technologies and new practices of networked consumption have changed the patterns of communication between brands and their publics,” writes USC professor Burghardt Tenderich in the introduction to Design Elements of Transmedia Branding.

System 278

Determinism, Best Practice, and the ‘Training Solution’

Charles Jennings

If a chemical engineer is looking to design a new process or parameters for distillation in a chemical plant she may be able to identify the volumes and sequences that produce the highest amount of pure distillate.

Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

There are quite a number of interesting cases where people applied data analysis to uncover patterns that were useful in dealing with an unexpected new situation. The ordered world is the world of facts-based management; the unordered world represents pattern-based management.” .

Data 250

Researching open online courses

George Siemens

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? Established researchers will likely already have some existing research techniques (such as social network analytics, discourse analytics, natural language processing, concept development, AI, and so on).

Course 164

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.

Data 204

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 ).

practice, creativity, and insight

Harold Jarche

“The machine versus human debate has actually divided big data analytics experts into two camps. Every fortnight I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds.

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

Irving Wladawsky-Berger

The] big data of this revolution is far more powerful than the analytics that were used in the past,” wrote Brynjolfsson and Andy McAfee in a recent Harvard Business Review article: Big Data: The Management Revolution. “We On May 22 I attended the 2013 MIT Sloan CIO Symposium.

Data 194

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Precision Farming Increases Crop Yields - “Combining sensors and imaging of every plant with real-time data analytics improves farm outputs and reduces waste”. Sustainable Design of Communities Dramatically Reduces Waste - “Moving beyond the green-home level, ambitious projects are attempting to join blocks of buildings into a single sustainable unit”. As new data is ingested, the system rewires itself based on whatever new patterns it now finds.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

In the 1960s and 1970s, IT brought automation to a number of discrete business processes, including transaction processing, financial planning, engineering design, inventory management, payroll and personnel records. Cognitive insight projects take AI to the next level, using machine learning and other advanced algorithms to detect patterns in vast volumes of data.

intangible value

Harold Jarche

Value network modeling and analytics reflect the true nature of collaboration with a systemic human-network approach to managing business operations. You can’t plan networks or force fit them into any pattern.

The future of higher education and other imponderables

George Siemens

The patterns of change in higher education are surprisingly similar and global. Not all countries are adopting the aggressive UK model, but tuition patterns internationally (.pdf)

Big Data Takes Center Stage

Irving Wladawsky-Berger

Sampling requires anticipating how the data will be used so you can design the proper sample.

Data 244

power, control, literacy

Harold Jarche

“… yes you can use large scale data analytics, AI and algorithms to discover new patterns in the sequences of presses and certainly this will help you against equally blind competitors.

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

Irving Wladawsky-Berger

A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. 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. It can discern trends and patterns that can be acted on.”.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Examples include sophisticated medical diagnosis, complex designs, and many R&D tasks, as well as managing large organizations, teaching, and writing books and papers.

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. 

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.

A Kind of Digital “Perfect Storm”

Irving Wladawsky-Berger

We seem to be heading toward a kind of digital perfect storm , where four major IT trends are each gathering speed while interacting with and amplifying each other: mobile devices, cloud computing, social networks and big data and analytics.

Data 233

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. Our instincts will often lead us to see patterns where there might be none.

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 Open Learning Analytics: A proposal - George Siemens , December 10, 2011.

Social Business in the Age of the Customer

Irving Wladawsky-Berger

In other words, it is no longer enough for graduates to excel in functional, analytical and technical areas. As the line between products and services blurs into holistic customer experiences, companies are finding that their past focus on optimizing labor costs through automation and outsourcing finds them ill-equipped to design and build the required end-to-end customer experiences. .

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? - articulation) 5 Design principles - collective design and distributed delivery (eg.,

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

David Weinberger

Look at user needs to design services. We generate lots of data, which allows us to be strategic, looking for patterns of use. We can do predictive analytics. [ She goes through some analytics with charts that I cannot capture. ]. I’m at The 13th annual International Conference of University Libraries (Conferencia Internacional sobre Bibliotecas Universitarias) at the Autonomous University of Mexico in Mexico City. NOTE: Live-blogging. Getting things wrong.

The 2016 Look at the Future of Online Learning

Stephen Downes: Half an Hour

Seven Key Technology Patterns 1. Predictive analytics will grow in significance in terms of student retention and learner support. I did a double take when I read this, since I thought we were done with analytics, but the author assumed (I guess) that we need a whole second class of analytics, this time to predict what students will do. Five Key Features of Online Learning Which Technology Patterns Will Enable 1.

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.

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. Patrick Dunleavy offers this list of ten typical questions that might be asked on your PhD oral exam.

Getting Insight from Facebook Insight Requires Sense Making Skills

Beth Kanter

Design mindset: ability to represent and develop tasks and work processes for desired outcomes. Let’s dissect an act of sense-making using Facebook Insights. Your Facebook Insights analytics programs is most likely going to give you some “associated metrics.”

Skills 106

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.

eLgg 238

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.

[liveblog] Noam Chomsky and Bart Gellman at Engaging Data

David Weinberger

Used standard analytics techniques to find that white people are 4x more likely to get pardons, that campaign contributors are also more likely. The more we know, the more we can design policies to keep power in place. And now hardware in computers is being designed to detect your every keystroke, leading some Americans to be wary of Chinese-made computers, but the US manufacturers are probably doing it better.

Data 184

Presentation to UNCTAD's Advisory Group on "Developing skills, knowledge and capacities through innovation: E-Learning, M-Learning, cloud-Learning"

Stephen Downes: Half an Hour

Only after this, do we move into the idea, of learning design and pedagogy, which is drawn primarily from the field of distance learning, where courses are rounded up as packages, or what we might call program texts, designed to lead the student through a course of instruction. You begin to think in course packages complete with content, learning design, everything you need for an online course. It is, in many ways, an unbundling of this traditional course design.

Groups 159

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 difference is that a cMOOC is designed as a network, as I described above, while an xMOOC is based on a central course site and content that will be followed by all students. In a MOOC, the network is created specifically for a given course, but gRSShopper is designed to support open content distribution and syndication generally.