Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

Its prediction algorithms integrate social physics technologies into its data analytic engine, enabling it to efficiently extract the underlying social attributes embedded in the raw data being analyzed. Earlier this year, the startup announced Endor.Coin, an analytics platform designed to reinvent AI predictions by making them easily accessible to companies and individuals with no data science or AI expertise, thus aiming to become a kind of Google for predictive analytics.

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. Products Post Type: Blog post. What should also come as no surprise is that corporate Learning & Development (L&D) organizations have been slow in responding to these changes, with over 80% of training still delivered in a formal manner via ILT, virtual and self-paced eLearning. read more.

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Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

Abstract The growth and development of learning analytics has placed a range of new capacities into the hands of educational institutions. The ethics of learning analytics will therefore need to be developed on criteria specific to education. It may be argued that the relation between ethics and law is such that in a treatment of the ethics of learning analytics we ought also to be concerned with the law in relation to learning analytics.

Free Sales Tools Reps Can’t Live Without

Xyleme

Since many sales brands are pivoting to product-led growth, spurred on by a culture of try-before-you-buy, sales reps have a plethora of free sales prospecting tools to choose from. It’s important to note that there are no one-size-fits-all sales productivity tools.

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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. Big data ,- including analytics , data science , artificial intelligence and related information-based technologies - are now everywhere. “Is

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Content as a Service

Xyleme

As instructional designers, we create our learning products, package them up with all the content and media, wish them well, and ship them off to the LMS’s – never to be seen again. Tracking of use and analytics. This data set can be used to generate powerful analytic tools that can measure an individual’s strengths and weaknesses, and use this information to drive personalization. (In In future blog posts, I’ll elaborate on how analytics can drive personalization.).

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. Data is now being generated by just about everything and everybody around us, including web searches, social media interactions, financial transactions, mobile devices and IoT smart sensors.

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The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

Twenty years into the Internet revolution, businesses and consumers have come to expect that information is a Google search away, friends and associates are always available on social networking sites, and goods and services (including public goods such as education and government services) can be had instantly from an online vendor anywhere in the world at any time of the day.”. These vital services account for nearly a third of global GDP but have lagged in productivity growth.

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Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

The application of design thinking beyond products isn’t new. Stanford’s Institute of Design , - better known as the d.school, - was launched in 2004 as a graduate program that integrates business, the social sciences, the humanities and other disciplines into more traditional engineering and product design. Design thinking has become an increasingly popular topic of discussion over the past decade.

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Preparing Students for an Increasingly Complex Business World

Irving Wladawsky-Berger

Universities generally do a pretty good job when it comes to teaching hard skills, - engineering methods, technology, analytical tools, finance, marketing, and so on. However, the students frequently complain that such skills will not get them the kinds of jobs they want, and they pressure the schools to offer them courses that are more functional, analytical and technical.

What I’ve learned in my first week of a dual-layer MOOC (DALMOOC)

George Siemens

This last week we launched our open course on Data, Analytics, and Learning on edX. I view content to be as much a by-product of the learning process as a pre-requisite. Learners in edX use them for a range of reasons including quick search/help, venting, and as a way of orienting to the course. The course is structured in a dual layer model, an approach that Matt Crosslin has nicely articulated.

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Do you really need all this personal information, @RollingStone?

Doc Searls

By using our site and products, you are agreeing to the policy. Send you personalized newsletters, surveys, and information about products, services and promotions offered by us, our partners, and other organizations with which we work. Create profiles about you, including adding and combining information we obtain from third parties, which may be used for analytics, marketing, and advertising.

Beyond Machine Learning: Capturing Cause-and-Effect Relationships

Irving Wladawsky-Berger

Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. Similarly, searching for Earth-size extrasolar planets is based on detecting the faint changes in a star’s light caused by a potential planet quickly passing by. Artificial intelligence is rapidly becoming one of the most important technologies of our era.

My 25 Years of Ed Tech

Stephen Downes: Half an Hour

2000 – Learning Objects Also: Portals, CoI I wrote my paper 'Learning Objects' in 2000 - it was the product of a presentation I did on IMS-LOM a few months earlier, building on a lot of the idea people like Dan Rehak had already developed. What made my paper different, I think, was that I had already worked out a number of the practical applications (and problems) with OLe, and so I was in a good position to present the full case from principle to product.

Follow the Data to Find the Money

John Hagel

Sure, technology is a key enabler of data capture, aggregation, and analytics, but the providers of this technology will not capture the vast bulk of the value – it will be those who have access to this data and, most importantly, those who can creatively find ways to generate economic value from this data. The most productive way to think of data and its economic value is as a flow, not a fixed stock, and it’s a flow that refreshes over time.

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Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

Data centers have now become the production plants of cloud-based services , a transformation that’s been pioneered by born-to-the-cloud companies like Amazon, Google, and Salesforce. These early analytics applications dealt mostly with structured information. This new data-centric era of computing goes by different names, depending on which aspect one wants to emphasize: big data , analytics , data science , cognitive computing , artificial intelligence.

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

Their overall conclusion is that “a low-cost, private-by-design democracy of devices will emerge that will enable new digital economies and create new value, while offering consumers and enterprises fundamentally better products and user experiences.” . Connectivity and intelligence are a means to a better product and experience, not an end.” . Most IoT business models also hinge on the use of analytics to sell user data or targeted advertising.

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Increasing “Jointness” and Reducing Duplication in DoD Intelligence

Martijn Linssen

While modest gains have been made in breaking down “stovepipes,” the initial energy of these “collaborative” efforts has waned and increased spending has largely cemented bad habits: siloed analytic reporting that fuels massive duplication of effort. tools such as wikis, blogs, social bookmarking services, and document storage all of which were indexed by Google Search Appliance. In fact, much of Intellipedia’s “success” is rooted in transforming non-analytic work.

How Will AI Likely Impact How We Work, Live and Play?

Irving Wladawsky-Berger

Public safety and security. “One of the more successful uses of AI analytics is in detecting white collar crime, such as credit card fraud. Perceptual algorithms for functions such as image labeling, and 3D object recognition, while common at AI conferences, are still only a few years into development as products.”. A few weeks ago I discussed whether AI is finally reaching a tipping point, mostly based on a recently published report, - Artificial Intelligence and Life in 2030.

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Relationships and Dynamics - Seeing Through New Lenses

John Hagel

  Change can be highly unpredictable and can rapidly call into question the ability to predict demand for products or services.    Contemporary economics is largely built around equilibrium models that are essential if the detailed econometric analytics are to work. Product life cycles are compressing across many, if not most, industries.  Yet, we do not have very good lenses or analytic tools to bring these dynamics to the forefront.

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. In contrast to digitalisation, which enabled productivity improvements and efficiency gains on already existing processes, datafication promises to completely redefine nearly every aspect of our existence as humans on this planet.

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The 6 capabilities that drive future business value from Staggeringly Enormous Data

Trends in the Living Networks

As I wrote in an article on Governance as opportunity , research by MIT’s Eric Brynjolfsson showed 5% higher productivity from organizations that do ‘data-driven decision making’ The key issue is the capabilities that organizations will need to get value from Big Data, and how to develop those capabilities. Data analytics. As such data analytics capabilities must be linked to identifying where business value can or might be created.

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The Era of Cognitive Computing

Irving Wladawsky-Berger

The Industrial Revolution led to dramatic improvements in productivity and standard of living over the past two hundred years. Since that time, analyzing or searching large amounts of information has become increasingly important and commonplace in a wide variety of disciplines. Today, most of us use search engines as the primary mechanism for finding information in the World Wide Web.

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. But, over time, engineering advances have led to foundational scientific principles, development practices and building blocks that significantly increased their safety and productivity. AI is rapidly becoming one of the most important technologies of our era.

The Emerging Data Economy

Irving Wladawsky-Berger

Physicists, astronomers, biologists, and other scientists and engineers were developing methodologies and architectures for dealing with very large volumes of unstructured data, as well as analytical techniques, like data mining , for discovering patterns and extracting insights from all that data. The Economist’ s May 6 issue referred to data in its cover as the world’s most valuable resource.

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Reflections on Big Data, Data Science and Related Subjects

Irving Wladawsky-Berger

It’s not just an application with data; it’s a data product. Data science enables the creation of data products. Whether that data is search terms, voice samples, or product reviews, the users are in a feedback loop in which they contribute to the products they use.

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The Top 3 Benefits of AI for Fundraisers

Beth Kanter

Smaller development offices now have an array of choices of affordable products to use for AI-powered fundraising. In 2017, they started working on Civis Analytics to build “micro-targeting” algorithms to identify low-dollar donors online who could be converted with personalized messaging.

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

Irving Wladawsky-Berger

Thus was microbiology born, leading to major discoveries in biology, medicine, public health and food production in subsequent decades and centuries. Big data is such a measurement revolution made possible by the new digital tools all around us, including location data transmitted by our mobile phones; searches, web links and social media interactions; payments and transactions; the myriads of smart sensors keeping track of the physical world; and so on.

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The Best of Times, The Worst of Times: opportunities and challenges for the L&D profession

Charles Jennings

“It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of light, it was the season of darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way.”

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A simple market-based solution to Apple Maps vs. Google Maps

Doc Searls

Worse, you’re the product being sold to the actual customers, which are advertisers. In just over a week, iOS users with the new Maps have already searched for nearly half a billion locations. And I’d like to see Apple approve that product for sale, pronto. And Google could use some practice at doing real customer service with human beings who serve as more than a source of data for the company’s back-end analytic mills. Charge for them.

What the ad biz needs is to exorcize direct marketing

Doc Searls

While advertising was about raising general awareness of a company, product or service, direct marketing was about selling you stuff. It seemed innocent enough when it was just text ads off to the side of Google search results, or on the margins of blogs and other Web pubs. Those files then follow users everywhere to collect data for analytic mills, so the body-snatched ad business can then deliver “a better advertising experience,” as if anybody wants any of it at all.

Educational Research in Learning Technology

Stephen Downes: Half an Hour

A wider search may reveal more such articles. Search I have argued many times that 'education is not a search problem'. The reason why education is not a search problem is that 'finding and presenting' isn't really an effective pedagogy (even though it is, almost by definition, an instructivist pedagogy). I'm working on a paper on ethics and learning analytics with a bibliography of hundreds of sources that conclusively proves this statement is false.

Big Data Takes Center Stage

Irving Wladawsky-Berger

The key question is whether the technology will keep falling through the trough and be soon forgotten, or whether it will eventually move on toward the slope of enlightenment on its way to a long life in the plateau of productivity. In 2000, only one-quarter of the world’s stored information was digital and therefore subject to search and analysis.

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Top 50 Posts on Working Smarter for May 2011

Jay Cross

The Pull of Narrative – In Search of Persistent Context - John Hagel , May 23, 2011. How much more productive are teleworkers? - Nine Shift , May 18, 2011. When Learning Analytics Meet Gamification - Ellen Wagner , May 1, 2011. Best of Working Smarter Daily. May 1, 2011 to May 31, 2011. The following are the top items from featured sources based on social signals. List of the top 100 Twitter influencers in Australia - Ross Dawson , May 31, 2011.

Less is more: A different approach to L&D in a world awash with information

Charles Jennings

Having the metadata and the search skills is far more useful than memorising the detailed information in this and many other situations in the day-to-day pursuit of our work and life. This post appeared on the TrainingZone.co.uk site last month. I’ve re-posted it here for people who don’t choose to register on the TZ website. Charles Jennings argues that the adage 'access to knowledge is power' is more fitting in today's information-swamped world.

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Mainframes and Clouds

Irving Wladawsky-Berger

As you would expect with any product announcement, this new mainframe is significantly better and faster than its predecessors. A look at the IT industry over the past several decades will reveal the large number of once great products that are no longer around. On July 22, I attended IBM’s announcement of its new generation of mainframes, the zEnterprise System in New York City.

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Seeking talent in Sydney: Amazing Content and Web Project Managers – Part-time

Trends in the Living Networks

A bit later we will extend our search for similar talent globally. We are developing a range of websites using APIs, web mining, analytics, social media integration, web visualization etc., applied to domains such as influence and reputation analytics, subject aggregation, and information interfaces. We create iOS apps, including productivity apps and content. We have just placed an ad on Seek for Amazing Content and Web Project Managers – Part-time.

Giant Christmas Eve Used Tab Closing Sale

Doc Searls

Love, Life and R: Personal Analytics Gets Real | WIRED. Product Categories Collectibles – Fybush Media. adblock plus open source code – Google Search. https://www.google.com/search?q=rg–45&ie=utf-8&oe=utf-8&aq=t&rls=org.mozilla:en-US:official&client=firefox-a&channel=sb#newwindow=1&safe=off&rls=org.mozilla:en-US:official&channel=sb&q=IEEE-STO. https://twitter.com/search?q=%22The%20New%20Republic%22&src=tren.

Business or Pleasure? - why not both: Would more Influence fix.

Martijn Linssen

Edelmans Tweetlevel and Klout (as much as I detest the quality and consistency of their product) do a really good job at weighing the various components: absolute and relative number of @replies and ReTweets from and to other tweeps, taking into account their own influentiality, of course expressed in their own Tweetlevel or Klout score, next to number of followers Influence is the new WannaHave of course. Business or Pleasure? -

10 most popular posts of 2012

Jay Cross

Google Analytics tells me these are 2012′s greatest hits on jaycross.com. Training departments push training, while workers search and ask for the information they need. More important for learning outcomes, the time spent in class can be put to more productive use. Dan Pink’s new book. Dan Pink has written another best seller. The book won’t be released until December 31 but is already in its third printing.) The U.S.

The Future of Social Media

Kevin Wheeler

Analytical tools are being applied to “grock&# your likes, dislikes, political persuasion, and personality so that both marketing and recruiters can more effectively screen you in or out of a job or persuade you to buy a service of product. Dan Ryan Principal Ryan Search & Consulting [ Reply ] Reply Cancel reply Leave a Comment Previous post: Getting More Value from Your Social Media Next post: Do We Need Internal Recruiting At All?

The Co-Evolution of Humans and our Tools

Irving Wladawsky-Berger

According to this view of AI, our computers are productivity and intelligence augmentation tools, not unlike the steam engines, cars and airplanes that make up for our physical limitations by enhancing respectively our limited power and slow speed, and giving us the ability to fly. Watson is but the latest example of tools like the World Wide Web, search technologies and advanced analytics that are helping us cope with and take advantage of the explosion of information all around us.

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How the Internet May Evolve

Stephen Downes: Half an Hour

And we know that with enough data analytics can outperform humans even in complex tasks. Retailers - Alvin Toffler predicted an era of mass custom production, where a good is not manufactured until it is ordered. We are on the cusp of providing this today, from sourcing of raw materials on a real-time basis through production and deliver via automated vehicles or drones. What would we say of a lawyer who did not rely on data search, indexing and retrieval services?

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