Remove Analytics Remove Complexity Remove Design Remove Patterns

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

Thursday and Friday is a mixture of a foresight event and a complexity conference and I then return home on Saturday. the next generation of Risk Assessment and Horizon Scanning system for Singapore and as one of the main designers of 1.0

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

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.

Data 209

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.

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 137

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 157

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

Go is a very complex game, for which there are more possible board positions than there are particles in the universe. A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further.

Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

They tend to be complex, and unstructured because of the uncertainty and risks that generally accompany longer term decisions. 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.

Data 242

Reflections on Storytelling

Irving Wladawsky-Berger

And, the more powerful, important and complex the messages you are trying to convey, the more important it is that you do so by telling a compelling and emotionally resonant story. . We are turning to both design and storytelling to help us address the increasingly complex world around us.

System 273

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. MOOC on complexity JAY CROSS | WEDNESDAY, FEBRUARY 13, 2013. MOOC on complexity.

eLgg 238

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.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Most high-skill jobs involve expert problem solving, complex communications and other cognitive human activities for which there are no rule-based solutions. Last week I discussed a recent Pew Research report on the impact of AI, robotics and other advanced technologies on the future of jobs.

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

Irving Wladawsky-Berger

It will be complex, develop hitherto unforeseen forms, and will have to respond to unforeseen challenges. In 2012, he published a paper with his students, An Analytics Approach to Designing Clinical Trials for Cancer , which he dedicated to the memory of his father. . “We

Data 191

Big Data Takes Center Stage

Irving Wladawsky-Berger

Sampling requires anticipating how the data will be used so you can design the proper sample. Complex Systems Data Science and Big Data Economic Issues Innovation Management and Leadership Technology and Strategy

Data 236

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 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 224

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.

Social Business in the Age of the Customer

Irving Wladawsky-Berger

Such a company-wide initiative should include: access to all information about employees, partners and customers; the ability to scale pilots across the broad workforce, ecosystem and customer base; adherence to government and industry regulations; careful management of security to avoid serious breaches; and a focus on reducing the costs and complexities that result from duplication of systems and information.

Determinism, Best Practice, and the ‘Training Solution’

Charles Jennings

Human behaviour and the nature of organisations both tend to be complex and highly variable, and neither lend themself to deterministic approaches. When we’re dealing with human and organisational learning and performance we’re dealing with highly complicated and complex systems.

Leadership and Rational Thinking

Irving Wladawsky-Berger

But, I believe that an overriding message kept coming through loud and clear: to make progress in addressing the very complex problems that we all face, we must leverage the power of rational thinking. And, we now have an array of highly sophisticated tools that, when properly used, can help us make sense of all that complexity. Ferrucci compared the computational patterns in Watson with leadership in a complex, uncertain world.

System 163

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

” @nielspflaeging : “Remember: In complexity, steering collapses. “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.

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 ). Single source doesn’t work as complexity intensifies).

Data 204

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.

Course 164

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.

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)

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.

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.

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.  As result, industrial cities grew bigger and more complex, segmenting into specialized neighborhoods and business areas.

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.

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.

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.,

What I've Learned From Philosophy

Stephen Downes: Half an Hour

Fun with Dick and Jane is written clearly but we want to express thoughts more complex than "see Spot run." I also actually learned them, which means I can make really complex inferences, but more importantly, know some pretty basic things. The collapse of the analytic-synthetic distinction means that no statement is wither purely syntactical or purely semantical. An analytic statement is supposed to be true simply by virtue of the meanings of its terms.

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 2010 IBM Global CEO Study

Irving Wladawsky-Berger

This time around, the primary challenge emerging out of the CEO conversations was pretty clear: complexity. CEOs told us they operate in a world that is substantially more volatile, uncertain and complex. Nearly 80% of CEOs expect the business environment to grow significantly more complex over time, but less than half believe that their organizations are equipped to deal with it successfully. Globalization is one of the major causes of this complexity gap.

Study 162

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. But in any field, students will have to graduate from the simpler transmission mode of instruction to the more complex immersion mode of instruction.

My Viva

Stephen Downes: Half an Hour

To make life more complex, we only have one set of interconnected entities and connections between them, and exactly the same set of connections contains multiple concepts or ideas. Patrick Dunleavy offers this list of ten typical questions that might be asked on your PhD oral exam.

Consciousness

Stephen Downes: Half an Hour

When wood burns , for example, the complex hydrocarbon in wood is reduced to gases (steam, carbon monoxide, carbon dioxide) and char (charcol, ashes, smoke). It is not the result of some design, nor is it the result of some goal of objective.

The Diminishment of Don Draper

Andy McAfee

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. The packaging for a new line of eco-friendly copier paper, for example, is a combination of colors, logos, other design elements, descriptive words, and a few other important features.

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. A language is something much more dynamic, much more behavioral and complex ?? It''s the basis for instructional design. The complexities matter." It''s a complex, messy ?? Incredibly complex process, but easy to do. Because our brain is a pattern?recognition

E-Learning Generations

Stephen Downes: Half an Hour

Theprocess of connecting was involved and complex, requiring the use of modems andspecial software. 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. You can begin to see a pattern developing here.

Digital Habitats Community Orientation Spidergram Activity | Full Circle Associates

Nancy White

Also, wondering if have now have some patterns looking at diagrams over a diverse range of communities? Use the Spidergram ( [link] ) as a talking tool, and then, if their arguments are verbally convincing, try USING different [.] # uberVU - social comments on 11 Feb 2010 at 10:25 am Social comments and analytics for this post… This post was mentioned on Twitter by NancyWhite: @Carl_IDS Glad you are liking “Digital Habitats&# chpt 6 – community orientations.