Superforecasting: The Art and Science of Prediction by Wharton’s Philip Tetlock and Dan Gardner is another great read addressing analytics, human behavior and analytic technologies for establishing and sharpening forecasting abilities for any organization.
The book title is a wonderful attention grabber for me that demonstrates we live in the era of big data with business driving the age of immediacy.
Superforecasting acknowledges data lessons supplied by Nate Silver’s The Signal and the Noise as helping to define standards to data and how it misled the national media.
Yet just into the second chapter Tetlock and Gardner point to the research by Daniel Kahneman excellent work Thinking Fast and Slow to help determine behaviors shaped over time that have fundamentally changed how we predict success.
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The emerging IoT developer community received a much anticipated jolt of news when Amazon finally announced new enterprise services dedicated to the AWS IoT cloud launch at their 2015 re:Invent conference.
This new AWS IoT cloud service will permit web based interfaces to manage IoT events from various devices: sensors, wearables, drones, and of course mobile tools and apps around an established AWS ecosystem.
The AWS IoT cloud emerges as Amazon’s long term platform following the SalesForce Thunder platform announced last month. Both vendors look to establish key IoT cloud solutions in the corporate enterprise space. They join Cisco’s IoT, Microsoft’s Azure IoT, Oracle’s Movintracks along side GE’s energy launch of Current IoT. The race is now on to process millions of data events from light bulbs to dishwashers and cars over the MQTT protocol and process those messages in their respective clouds.
Amazon is leveraging 11 services around their IoT Cloud strategy to include existing AWS services: Kinesis, Redshift, S3, SNS, SQS, ML, DynamoDB and Lambda. A key investment to this strategy was the recent acquisition of 2lemetry, a IoT enterprise company tuned for transforming raw data from IoT devices onto their ThingFabric platform.
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Tim Wu’s second book The Master Switch: The Rise and Fall of Information Empires is wonderful examination how American information empires were established and stifled innovation at the same time. This is my second book by Wu following his brilliant Who Controls the Internet.
Wu identifies long business cycles surrounding the birth of information systems. While they begin open over time they were consolidated and driven by the market to become closed.
We displays how they become open again following amazing innovations force a business change in order to survive in the new marketplace.
The Master Switch opens with the birth of the Bell AT&T telephone monopoly. This is a facinating story when held against the garage startups of Apple and Google.
There is an amazing look at how countries and cultures also view information empires differently. The case for Wu is the capitalist, independent market approach to radio vs the UK’s BBC dominated by the royal family.
The Master Switch reveals how four key markets actually hold government infrastructure: telecommunications, banking, energy and transportation. These four and their capitalist owners for generations established control over any citizen’s attempt at challenging their monopolies. The lesson Wu establishes is corporate control by closed technologies. Yet one cannot help but understand they magically protected the country from the devastating affects of revolution leading up to and more importantly the horrific aftermath of World War I that forever removed Paris as the hub for film entertainment.
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Over breakfast this weekend at a popular farmhouse two high school teachers sat next to me to discuss how their respective LMS solutions made teaching difficult. Both were from wealthy suburbs outside Milwaukee. What really peaked my interest was hearing how one spent over 45 minutes trying to add polling for in-class feedback.
I helped lead the adoption of a Moodle LMS at a private Wisconsin college in 2007 that is still in use today and also had the pleasure of attending a conference at UW-Madison with Martin Dougiamas the founder of Moodle.
Yet over that breakfast I was intrigued by their difficulty with all things LMS for the upcoming school year. Frustration ranged from how one teacher received no LMS training (poll example above) while the second teacher spoke about her district migrating to a new LMS vendor over the summer.
Of course no technology discussion can avoid a teacher mentioning K12 servers going offline for hours during the school day making their teaching even more difficult. Seems like teachers have a lot to confront on a daily basis in delivering education to a classroom of twenty plus students. A local LMS run from an empty closet is no longer acceptable.
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Big Data has changed education forever. Learning with Big Data reveals If your school has not fully embraced big data you should consider moving your child’s education elsewhere. In higher education its fully integrated across the institution from the admissions office all the way through the office of alumni relations.
This short e-read builds upon the success of Big Data: A Revolution That Will Transform How We Live, Work, and Think released in 2013. This book is not about MOOCs, but does dedicate pages to the background and success of Khan Academy.
Authors Viktor Mayer-Schonberger, Professor of Internet Governance and Regulation from Oxford and Kenneth Cukier from The Economist introduce Learning with Big Data by way of the role of machine learning at Stanford. The course is taught by Andrew Ng, cofounder of Coursera.
Ng has brought to the globe the ability to teach a world class curriculum in machine learning from California to students in Tibet. In many ways this very idea is threatening to close minded administrators sitting in their siloed office.
The focus in this special book is how big data, which reveals to educators what works and what does not is reforming education. The ability today to interactively track the performance of each individual student in real time throughout the semester can make a big difference because the data drives how focused, dedicated administrators can more effectively budget extremely tight dollars in guiding a campus forward.
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