The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

Business analytics predates the big data era. Beyond business analytics, new data science methods could now be used to extract actionable knowledge from all that data, that is, knowledge to help make better decisions and predictions.

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”.

Trending Sources

Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

What’s the value of gender diversity in technology-based disciplines? Is gender diversity an asset for technology-based companies? Are men inherently better than women at technology-based jobs? These are questions that have long been discussed.

Technology, Marketing and Storytelling

Irving Wladawsky-Berger

Digital technologies, - mobile, cloud, social, Internet of Things, big data and analytics, AI… - are transforming just about every aspect of business. In addition, technology is now amplifying the impact of storytelling on the customer experience.

The need for innovation across boundaries and the power of big data analytics

Ross Dawson

Another question looked at the major technologies that will impact how their organizations function over the next 5-10 years. The post The need for innovation across boundaries and the power of big data analytics appeared first on Trends in the Living Networks.

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.

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Open Symposium: Policy and Strategy for Learning Analytics Deployment

George Siemens

We ( SoLAR ) are organizing an online symposium on Policy and Strategy for Learning Analytics Deployment. We have a great group of presenters next week. If you are interested, you can join the course here: https://learn.canvas.net/enroll/T3YMLF.

Learning Analytics: Big Data Applied to Training, Teaching, and Learning

Beth Kanter

Learning Analytics comes from a report about the impact of emerging technologies for practitioners in a field. Two or three years to adoption: Learning Analytics (K-12/Higher Ed), Open Content (K-12), Games and Gamification (Higher Ed). Learning and Knowledge Analytics.

Education Technology Strategies - Day One

Stephen Downes: Half an Hour

lessons scripted around 1:1 laptop); IT issues - we were a Windows network, with everything on our own domain - we needed to open eg printing etc O - consumer technology far more accessible in 2012 esp. dates to classical Greece How does technology change this? - Most classrooms still dominated by teachers teaching answers and students remembering them We can change the technology but if we haven''t changed the goal we really haven''t accomplished anything.

Open Course: Learning Analytics and Knowledge

George Siemens

For the past several years, in preparation for our Learning Analytics Conference (this year in Leuven, Belgium, registration is now open ), we’ve been running an open online course on learning analytics. As I’m currently writing a book on the future of higher education and open courses, I’m exploring different technologies for use in open courses. This year, we’ll be running our Learning Analytics and Knowledge course on Canvas Network.

Digital Analytics Basics: Free Online Academy from Google

Beth Kanter

For many nonprofits, Google Analytics is the tool of choice for measuring traffic, reach, engagement, and action primarily because it is free. While it is somewhat easy to use, some of the more valuable features may require a little tutoring to understand and use.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Last week I discussed a recent Pew Research report on the impact of AI, robotics and other advanced technologies on the future of jobs. These activities are neither candidates for technology substitutions, nor can they be easily complemented with technology-based tools. .

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Reflecting on Learning Analytics and SoLAR

George Siemens

The Learning Analytics and Knowledge conference (LAK16) is happening this week in Edinburgh. I have great hope for the learning analytics field as one that will provide significant research for learning and help us move past naive quantitative and qualitative assessments of research and knowledge. Would you be interested in participating in a discussion on educational analytics (process, methods, technologies)? Not everyone was a fan of the idea of learning analytics.

Semantic Technologies in Learning Environments

George Siemens

We’re into Week 3 of our open course Learning and Knowledge Analytics ( syllabus can be found here ). presented on Semantic Technologies in Learning Environments. Semantic Technologies in Learning Environments

The Emergence of Industry 4.0

Irving Wladawsky-Berger

The Third, - following World War II - saw the advent of computers, digital technologies, the IT industry, and the automation of process in just about all industries. A confluence of trends and technologies promises to reshape the way things are made.

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). Technology''s role. turns a perfect event into time- and space- independent mode - make optimal use of current technology for recording, storage, distribution, etc - provide added value: replay, searching, browsing, etc.

Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

A few weeks ago, McKinsey published The age of analytics: Competing in a data-driven world , a comprehensive report on the state of big data, and in particular, on the challenges and opportunities a company faces as it strives to become a data-driven business.

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Learning Analytics

George Siemens

Have I mentioned we’re hosting a conference in beautiful Banff on Learning Analytics in February 2011? We’re trying to bring together the technical and the social/pedagogical aspects of learning analytics. All social makes Jack frustrated because he is unable to take advantage of technology affordances. The call for papers has been posted. Facebook/linkedin/TEL Europe group info supporting the conference can be found here.

Blockchain Can Reshape Financial Services… But it Will Take Significant Time and Investment

Irving Wladawsky-Berger

Not only are there major technology and standards issues to be worked out, but the industry will have to collaborate with governments around the world to develop the appropriate legal frameworks and regulatory environments.

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.

Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

This past semester I was involved in an interesting course at MIT’s Sloan School of Management , - Analytics Labs (A-Lab). A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems.

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The Mobilisation Journal: A Way To Spread Learning About Social Change Movements Innovative Use of Technology

Beth Kanter

” What happens in the lab is that they test campaign ideas that make use of new technologies such as mobile phones, tablets, social media, email, and others, network approaches, and others. But, more importantly, the lab documents and shares what has been learned with Greenpeace’s affiliates and leaders around the world. Innovation Incubation :: piloting new ways of working, from practices to technologies.

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.

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Jobs, Skills and Education

Irving Wladawsky-Berger

And 55% of Americans with college or more felt that technology will improve overall employment compared to 45% of those with high school or less. Economic Issues Education and Talent Management and Leadership Political Issues Society and Culture Technology and Strategy

Everyday Technology: Innovative Ways To Do More With Less

Beth Kanter

Note from Beth: Innovation was the buzzword at the Nonprofit Technology Conference! Everyday Technology: Innovative Ways To Do More With Less, Guest Post by Laura Quinn and Chris Bernard. Flickr Photo by Nielio.

Serious AI Challenges that Require Our Attention

Irving Wladawsky-Berger

Just because experts conclude that, - at least for the foreseeable future, - AI does not pose an imminent threat to humanity, doesn’t mean that such a powerful technology isn’t accompanied by serious challenges that require our attention.

The Emerging Data Economy

Irving Wladawsky-Berger

Data has been closely intertwined with our digital technology revolution since the early days of the IT industry. Ever since, digital technologies have been permeating just about every nook and cranny of the economy, society and our personal lives.

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Competing Against “Digital Invaders”

Irving Wladawsky-Berger

After analyzing the survey data, - including the use of Watson Analytics to extract inferences from open-ended responses, - IBM published its findings in Redefining Boundaries: Insights from the Global C-suite Study.

If marketing listened to markets, they’d hear what ad blocking is telling them

Doc Searls

Sure, marketers *think* they know what customers want, because they have Big Data and Big Analytics telling them, up to the second, what a customer might want to buy. Three problems with that: 1) there is no direct and conscious two-way interaction with customers; 2) most of the time customers aren’t buying a damn thing; and 3) guesswork based on all that data and analytics is wrong 99.x% advertising Journalism marketing problems Technology VRM

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

Successful companies will need to take advantage of new management practices, a continuously expanding data reservoir, and new technologies relevant to Digital Supply Chains, if they are to achieve future competitive advantage and delight their customers.

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The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

Any technology expected to have a transformative impact on business over the next decade has to at least be already in the hands of leading edge users. SMAC - Social, Mobile, Analytics & Cloud, - has become the new plastics , capturing the future of IT in one word, or rather, one acronym.

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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.

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The Transformative Power of Cloud Computing

Irving Wladawsky-Berger

Mainframes and PCs were the defining technologies of the centralized model and client-server models respectively. The Internet is the defining technology of the cloud computing model.

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Bravais 3.0: Taking Learning Beyond the LMS to Analytics & Personalization

Xyleme

What should come as news to, well, no one, is that in the age of search, social, mobile, and now, wearable technologies, learner expectations have changed dramatically. Gathering intelligence requires tracking and analytics - enter the Tin Can API, or xAPI.

The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

A growing number of articles have been extolling the value of T-shaped professionals , that is, individuals who combine deep cognitive, analytical, and/or technical skills in a specific discipline, with broad multidisciplinary, social skills.

Digital Twin: Bringing the Physical and Digital Worlds Closer Together

Irving Wladawsky-Berger

You need both deep physical domain knowledge as well as deep software and analytics expertise. The secret ingredient in this technology that has been largely lacking to date is context. Each is a major transformative technology in its own right.

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What is the Future of Work?

Clark Quinn

Is it about new technology, or is it about how we work with people? We’re seeing amazing new technologies: collaboration platforms, analytics, and deep learning. It’s very clear technology is changing the way we work. social strategy technology

The (Uneven) Digitization of the US Economy

Irving Wladawsky-Berger

Digital technologies are all around us, - increasingly ubiquitous and commoditized. The ICT (information and communications technologies) sector is the engine of digitization for the broader economy. Digital technologies now touch the economy in myriads of ways.

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Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Recent studies have shown that, given our complex business world , companies are increasingly searching for talented individuals that are strong in quantitative, analytical, technical and similar hard skills, as well as in strategic thinking, teamwork, communications and related soft competencies.

Meeting of the Minds with Gerd Leonhard: The implications of Big Data

Ross Dawson

There is a potential divergence between those who choose to augment themselves with technology and those who can’t afford to or choose not to. * Future of business Technology trends Uncategorized