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Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

We were now able to reliably predict how large groups of people make decisions by analyzing how information and ideas flow from person to person.

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. The exponential growth in information is sometime seen as a cure-all, as computers were in the 1970s.

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.

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Interesting Information via eLearning Learning

Tony Karrer

Again, I'll be curious to see if people find patterns in this information. 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. David Fair - Learning Journeys Talk to him about graphics ( PNG , JPG ) and staying organized ( Tagging , Information Overload ). We've implemented a few features in the eLearning Learning Community.

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

Stephen Downes: Half an Hour

leads to questions about designing learning for the future - reference to the old ''cranking ifo into students'' heads diagram - claims about the future: - work at own time, place, etc - computers will revolutionize learning - along came MOOCs - investment in MOOCs: $100M - will take time but will have a major impact - why things will change. Sangiovanni-Vincentelli, ''Designing Platform Based Design'', EEDesign, Feb.

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

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.

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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.”. AI is now seemingly everywhere.

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Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

This has been a particular issue with information technologies in general, including the Internet and AI. A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further.

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

Similarly, the machines of the 21st century digital economy are making up for our cognitive limitations, - augmenting our intelligence, problem solving capabilities and ability to process vast amounts of information. AI is rapidly becoming one of the most important technologies of our era.

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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.

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Reflections on Storytelling

Irving Wladawsky-Berger

The universal reach and connectivity of the Internet were enabling access to information and transactions of all sorts for anyone with a browser and an Internet connection. We are turning to both design and storytelling to help us address the increasingly complex world around us.

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Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

I believe that the power of Big Data is that it’s information about people’s behavior - it’s about customers, employees, and prospects for your new business,” he says. The ordered world is the world of facts-based management; the unordered world represents pattern-based management.” .

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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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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? What types of technologies are needed to a) help learners make sense of complex topics, b) manage information overload, c) maintain instructor presence, d) encourage learner autonomy? In fall, we (TEKRI, NRC, UPEI and possibly a few other organizations) are hosting an open online course.

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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.

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.

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 ).

Big Data Takes Center Stage

Irving Wladawsky-Berger

Cukeir and Mayer-Schönberger explain that big data has risen rapidly to the center stage position it now occupies for the simple reason that there is so much more digital information now floating around than ever before.

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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.

The future of higher education and other imponderables

George Siemens

Students, in contrast, suddenly had new tools of democratic information access (and distraction) at their fingertips. The patterns of change in higher education are surprisingly similar and global. And, badges can help account for formal and informal learning in a variety of settings.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

They include blue-collar manual activities such as manufacturing and other forms of production, as well as white-collar, information-based activities like accounting, record keeping, dealing with simple customer service questions, and many kinds of administrative tasks.

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.”.

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

They may succeed within individual silos of the business, but they are not fully realizing the potential power of becoming a social business , - which Forrester defines as: “removing the barriers between people (employees, customers, partners) and information while making it easier for people to work together using that information to solve business problems.” In other words, it is no longer enough for graduates to excel in functional, analytical and technical areas.

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

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

David Weinberger

Omitting key information. Look at user needs to design services. Students need to learn how to use digital information. 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. ].

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.

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. Cognitive load management: ability to discriminate and filter information for importance, and to understand how to maximize cognitive functioning using a variety of tools and techniques.

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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.

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

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.

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What I've Learned From Philosophy

Stephen Downes: Half an Hour

It's not merely that sorting out corporate information might be simple after spending years teasing out the nuances in Wittgenstein , as the article suggests, though it's partially that. Theories and Models Quine's Two Dogmas of Empiricism taught me (and everyone else) two important things: There's no such thing as the analytic-synthetic distinction Reductionism is false Above I discussed the distinction between syntax and semantics.

[liveblog] Noam Chomsky and Bart Gellman at Engaging Data

David Weinberger

Omitting key information. Used standard analytics techniques to find that white people are 4x more likely to get pardons, that campaign contributors are also more likely. It literally carries no information, even in the technical sense: it’s completely predictable and thus carries no info. The more we know, the more we can design policies to keep power in place. I’m at the Engaging Data 2013 conference where Noam Chomsky and Pulitzer Prize winner (twice!)

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Leadership and Rational Thinking

Irving Wladawsky-Berger

In particular, just like centuries ago telescopes enabled us to peer into the sky and better understand the universe and our role in it, information has now become a similar such tool, enabling us to now peer into our highly complex world and help us understand what is going on. Gathering and analyzing information to understand what is going on. The importance of information-based evidence, experimentation and learning was a recurring theme in many of the talks.

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.

Innovation in an Age of Austerity

Irving Wladawsky-Berger

I discussed some of the major technologies that are transforming the world of services, including mobile devices, broadband wireless networks, information analysis and cloud computing. One of the questions raised during the panel was the role of the social sciences and humanities in this new information and service-based economy. On December 7 I participated in an Innovation Summit sponsored by the UK Innovation Research Centre (UK-IRC) at the University of Cambridge.

E-Learning Generations

Stephen Downes: Half an Hour

These generations of have informed the shape of onlinelearning as it exists today, and will help us understand something of thedirection it will take in the future. It was also the time I firstbegan using email, the time I began using the Usenet bulletin Board system, andthe time I first began using online information systems such as Gopher. You can begin to see a pattern developing here. Even so, as it was, participants complained that there wastoo much information.

Beyond Assessment ? Recognizing Achievement in a Networked World

Stephen Downes: Half an Hour

This talk is basically what he said, except he said it in the French way with complex theories, while I''m going to give it in the prickly, analytical, English kind of Canadian, dry presentation. This addresses the specific question of assessment in open learning and in informal learning. Here''s another question : today''s students leave a lot of data traces, as we''ve just heard, from demographic information to how they read and highlight eBooks, et cetera. It''s a pattern?recognition

The 2010 IBM Global CEO Study

Irving Wladawsky-Berger

Technology is a second major factor contributing to growing complexity: “… creating a world that is massively interconnected, with broad-based convergence of systems of all kinds, both man-made systems like supply chains or cities; and natural systems like weather patterns or natural disasters. Globalization, combined with dramatic increases in the availability of information, has exponentially expanded customers’ options. IBM recently released the 2010 Global CEO Study.

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