Deep learning and Wearables

RE.WORK Deep Learning Summit, Boston

May 26-27, 2015
Boston, Massachusetts

Internet of Things Summit, Boston 2015

May 28, 2015 – May 29, 2015

Hyatt Regency Boston, Boston, Massachusetts, USA

– See more at: https://www.crunchbase.com/event/internet-of-things-summit-boston-2015-2015528#sthash.cBVjBogG.dpuf

big data and education

Big Data is Finally Coming to Education Here’s What We’ve Learned So Far

http://www.edukwest.com/big-data-education/

Long lectures don’t work.

The best predictor of future course behavior is past course behavior.

Data from MOOCs suggest that one way to boost completion rates is to increase engagement early in the course.

Even in online courses, offline support is essential.

 

More IMS blog entries on Big Data:

http://blog.stcloudstate.edu/ims/?s=big+data

big data history

A Bried History of BIG Data

Volume, Velocity, Variety

Business Intelligence

Internet of Things

privacy, security, intellectual property

mobile Internet

 

Super Mario gets artificial intelligence

Researchers create ‘self-aware’ Super Mario with artificial intelligence

http://mashable.com/2015/01/19/super-mario-artificial-intelligence/

A team of German researchers has used artificial intelligence to create a “self-aware” version of Super Mario who can respond to verbal commands and automatically play his own game.

Artificial Intelligence helps Mario play his own game

Students at the University of Tubingen have used Mario as part of their efforts to find out how the human brain works.

The cognitive modelling unit claim their project has generated “a fully functional program” and “an alive and somewhat intelligent artificial agent”.

http://www.bbc.co.uk/newsbeat/30879456

Can Super Mario Save Artificial Intelligence?

The most popular approaches today focus on Big Data, or mimicking humansthat already know how to do some task. But sheer mimicry breaks down when one gives a machine new tasks, and, as I explained a few weeks ago, Big Data approaches tend to excel at finding correlations without necessarily being able to induce the rules of the game. If Big Data alone is not a powerful enough tool to induce a strategy in a complex but well-defined game like chess, then that’s a problem, since the real world is vastly more open-ended, and considerably more complicated.

http://www.newyorker.com/tech/elements/can-super-mario-save-artificial-intelligence

free “big data” sources

The Free ‘Big Data’ Sources Everyone Should Know

https://www.linkedin.com/pulse/20141210080103-64875646-the-free-big-data-sources-everyone-should-know

Data.gov, click here.
US Census Bureau click here.
European Union Open Data Portal, click here.
Data.gov.uk, click here.
The CIA World Factbook, click here.
Healthdata.gov, click here.
NHS Health and Social Care Information Centre, click here.
Amazon Web Services public datasets, click here.
Facebook Graph, click here.
Gapminder, click here.
Google Trends, click here.
Google Finance, click here.
Google Books Ngrams, click here.
National Climatic Data Center, click here.
DBPedia, click here.
Topsy, click here.
Likebutton, click here.
New York Times, click here.
Freebase, click here.
Million Song Data Set, click here.

Big Data. Tracking Students’ Grades Minute-By-Minute: Help or Hindrance

Flanagan, L. (n.d.). Tracking Students’ Grades Minute-By-Minute: Help or Hindrance? MindShift. Retrieved May 12, 2014, from http://blogs.kqed.org/mindshift/2014/05/tracking-students-grades-minute-by-minute-help-or-hindrance/
For all the data and feedback they provide, student information systems interfere with learning.
“School isn’t about learning. It’s about doing well.”
The singular focus on grades that these systems encourage turns learning into a competitive, zero-sum game for students.
My notes:
the parallel with the online grades systems at K12 is the Big Data movement at Higher Ed. Big Data must be about assisting teaching, not about determining teaching and instructors must be very well aware and very carefully navigating in this nebulous areas of assisting versus determining.
This article about quantifying management of teaching and learning in K12 reminds me the big hopes put on technocrats governing counties and economies in the 70s of the last centuries when the advent of the computers was celebrated as the solution of all our problems. Haven’t we, as civilization learned anything from that lesson?

Center for Democracy & Technology

Big Data and Privacy

April 17, 2014

Big data has been generating big hype for a while. In January, the White House jumped into the fray, launching a big data and privacy review. CDT participated in all three public workshops convened in connection with the review and submitted written comments.

CDT’s Big Data and Privacy Comments

In our comments, we focused on three main areas: applying the Fair Information Practice Principles (FIPPs) to both private sector and government big data programs; exploring technical measures such as de-identification to safeguard privacy; and reforming existing privacy laws, most notably the Electronic Communications Privacy Act, to account for rapid changes in the ways that digital data is collected, stored, and used.

CDT stressed that, as entities collect more data to offer innovative products and more efficient services, they must still be guided by purpose specification, consent, security, and the other elements of the FIPPs framework.

Government and Big Data

“Strong consensus is forming that the bulk collection of phone records should end.”

-Harley Geiger

The Administration says that it will end its bulk collection of telephony metadata, although the details of what will replace it remain unsettled. Meanwhile, CDT is pointing out that the laws the government has used to justify bulk collection are not limited just to phone records. Instead, they could be used to justify collection of location data, Internet browsing history, financial records, and more. CDT has been vocal in advocating the end of all forms of bulk collection, and we endorse the USA FREEDOM Act as the best legislation to do just that.

A report from the White House review is due before the end of April, but it is expected to present more questions than answers. In this complex and unsettled space, CDT will continue to work with companies and other stakeholders to develop workable approaches that will protect privacy while pursuing the benefits promised by advanced data analytics.


Check Out CDT’s New Website

CDT has launched a totally revamped website: www.cdt.org. It has a fresh new look and tools that should make our content more easily accessible. Thanks to our partners at iStrategy Labs for their creative and technical efforts on the new site.

mega trends in technology

THE SIX BIGGEST TRENDS IN SOCIAL THAT WILL BLOW YOUR MIND

Mega shifts in social business will significantly affect the way that business will run in the future.

http://www.socialmediaexplorer.com/social-media-marketing/the-six-biggest-trends-in-social-that-will-blow-your-mind/

1. Big Data

How it works: Businesses collect multiple data points, helping to create hyper-specific marketing for users, while making better predictions with more information from a larger data set.

Examples: You’ve already seen this when Target figured out a teen was pregnant before her dad did. Even though she didn’t buy diapers or formula, her purchasing habits correlated closely with other customers’ who were pregnant, and Target sent her coupons for her upcoming baby.

Factors: Big data is being powered by the reduction in costs of data storage, as well as an explosion in the ability of businesses to capture data points. Never before have retailers been able to capture as much data about purchases, never before has online tracking been so robust, nor have social platforms offered access to so much data about users.

How to Prepare: As a user, you can expect to see much more targeted marketing, and not necessarily what you may expect. By drawing conclusions from large sets of data, companies might be even a little creepy in being able to predict your life – like the Target pregnancy. For marketers, you can expect to find new ways to streamline your sales funnel and get more analytical data about customers through social networks, web analytics groups and at retail.

2. Social Tool Aggregation

How it works: More and more third-party tools are springing up to help marketers and social network users make sense of multiple networks. Furthermore, networks themselves are offering ways of connecting to other apps and networks.

Examples: Tools like IFTTT and Zapier use social network APIs to trigger responses, while others like HootSuite allow users to aggregate multiple network communication into one tool. At the same time, tools like About.me allow a combined view of an individual’s social activity. Furthermore, networks themselves are beginning to integrate. Facebook allows cross posts from Instagram, Foursquare, Yelp and a variety of others.

Factors: It’s already taking too much time for individuals and marketers alike to keep up with just a couple social networks, and both the social networks and third-party tools know this. By consolidating social network interaction into a single place, users may be able to spend less time trying to make sense of the chaos.

How to Prepare: Users and marketers alike should keep an eye out for how this data is being used. What happens if you like Eminem on Facebook, but check into a venue during a Taylor Swift concert on Foursquare? What happens if you listen to the Glee channel on Pandora? What says more about who you really are? Do these networks share that information? Is it part of the authorization you okayed? The future may tell.

3. Social Network Consolidation

How it works: Social networks and tool providers are consolidating to remain competitive, both in creating a better offering for users, as well as buying market share.

Examples: Facebook has had nearly 40 different acquisitions since 2005 including technologies that help import contacts, manage photos, create mobile apps, and more, with their largest acquisition being Instagram for one beelion dollars (Doctor Evil style, of course.) Not to be outdone, LinkedIn has scored about 10 of their own acquisitions including Slideshare. Twitter has acquired tools like TweetDeck, platforms like Posterous and has created Vine, but acquisitions aren’t limited to social networks, they extend into social tools as well. Salesforce just had their largest couple years so far acquiring Radian6, Buddy Media and most recently, their largest, Exact Target. Adobe purchased Omniture, and Google bought YouTube and Wildfire Apps, and Oracle took over Involver social apps. Everyone is finding some value in social.

Factors: Not only is social the big thing, but it’s the logical next step after Social Aggregation. People want to be able to easily publish across social networks and marketers want to have the ability to create one true set of data. Rather than having multiple tools these companies are attempting to offer consolidated suites for data creation, storage and analysis.

How to Prepare: Marketers need to be aware of evolving tools and networks. When Twitter bought TweetDeck, it dropped many of the supported features for Facebook, LinkedIn, Myspace and others. Be aware of these types of changes so you can make plans for uninterrupted service.

4. Crowdsourcing

How it works: Companies are offering bigger roles to consumers.

Examples: Small and medium business often resort to sites like DesignCrowd, who offers thousands of designers the opportunity to design a logo, print piece or something else. The customer picks the best designs, offers revisions and the winner gets about $200. Starbucks turned to crowdsourcing for coming up with new product ideas, with over 50,000 ideas coming through My Starbucks Idea. Doritos, Lincoln, Pepsi, Pizza Hut, Toyota and others have even crowdsourced Super Bowl ads.

Factors: Customers want to have a stake in companies. As more businesses go to greater and greater lengths to spotlight influential users or creative user-generated work, consumers are expecting to interact more and more with companies in these ways. Furthermore, consumers are expecting more unique messaging rather than traditional corporate marketing speak.

How to Prepare: Find new ways that you can incorporate customer feedback and ideas into marketing campaigns, product updates or other areas of the business.

5. Sharing Economy

How it works: Online networks, “peer-to-peer marketplaces” are set up to pay to use people’s spare assets – rent a bedroom, or car from, or even eat a meal with complete strangers.

Examples: Perhaps some of the first companies in this space followed the crowdfunding model – with Kickstarter and Indiegogo being the top two. Airbnb offers to rent out unoccupied living space from a bedroom to an entire island including 250,000 listings in 192 countries. Taskrabbit allows users to outsource small jobs such as picking up dog food and dropping it off at your door. RelayRides even offers unused personal vehicles to rent.

Factors: It could be the downturn in the economy making some folks want to rent out their cars and rooms for extra cash, or causing others to avoid committing to a car payment. Furthermore, people are increasingly aware of the toll on natural resources in manufacturing and the high costs of parking in major urban areas. Sharing based businesses help to alleviate these problems and make use of otherwise idle resources.

How to Prepare: See if there may be a natural fit in working with one of these sharing services or offering your services through one. Jeremiah Owyang offers an example where Marriott could work with a shared lodging hosts to offer a “stamp of approval” of sorts, where hosts could agree to abide by certain standards or receive certain training to become certified. Marriott could even offer bedding, linens or other materials that could both help guests feel more confident in their accommodations while helping guests distinguish themselves from competitors.

6. Quantified Self

How it works: Individuals using devices or social networks to track information about themselves. This data can be cross referenced to identify some interesting trends about yourself.

Examples: FitBit tracks your physical activity, while foursquare tracks the types of businesses where you check in. It’s not too difficult to find out that when you go to movie theaters, you tend to eat poorly, and when you go to museums, you add an extra thousand steps to your routine. Apply that across other areas of life, music, work, love and you can some very interesting trends can turn out.

Factors: People are increasingly using technology to extrapolate information to work more efficiently. Furthermore, an increase in the scrutiny of the NSA and increased awareness of privacy have perhaps made people more interested in creating and storing their own information.

How to Prepare: Companies need to offer APIs and other ways for users to control and access their own information where possible. Connect to services like IFTTT and Zapier so users can import data and manipulate it, and make accommodations for people using personal technology like FitBits, Nike Fuelband, Jawbone Up, and others.

Overall, these mega shifts in social networking and social business can significantly affect the way that business will run in the future. Are you prepared? Have you seen these shifts or experienced them? Look for our future posts on the Micro-Trends within each of these larger trends and let us know your thoughts in the comments.

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CES 2014: Four mega-trends for the professionals

Summary: Trends matter at CES. While there may not be major product announcements, trends will emerge to shape 2014. Here’s what to watch in business tech.

http://www.zdnet.com/ces-2014-four-mega-trends-for-the-professionals-7000024727/

1. Wearables

2. The Internet of Things

3. Contextual computing

4. Consumerization of business tech

blog under the articles holds good information